{"title":"Nvidia","description":null,"products":[{"product_id":"nvidia-jetson-nano-module-ac49625","title":"NVIDIA Jetson Nano Module","description":"\u003cdiv style=\"text-align:center\"\u003e\u003cobject allowfullscreen=\"true\" allowscriptaccess=\"always\" data=\"https:\/\/www.youtube.com\/embed\/Uvu6NNOvhg4?rel=0\u0026amp;hl=en_US\" height=\"520\" width=\"925\"\u003e\u003c\/object\u003e\u003c\/div\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_jetson_nano_module_ac49625_1.jpg\"\u003e\u003c\/p\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":47995371815043,"sku":"AC49625","price":299.0,"currency_code":"AUD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0708\/6633\/7923\/files\/nvidia_jetson_nano_module_ac49625.jpg?v=1787797927"},{"product_id":"nvidia-dgx-spark-founders-edition-gb10-grace-blackwell-128gb-4tb-dgx-os-ac96461","title":"NVIDIA DGX Spark Founders Edition GB10 Grace Blackwell 128GB 4TB DGX OS","description":"\u003cp\u003e\u003cimg alt=\"NVIDIA DGX Spark Founders Edition GB10 Grace Blackwell 128GB 4TB DGX OS\" src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_dgx_spark_founders_edition_gb10_grace_blackwell_128gb_4tb_dgx_os_ac96461_82330.jpg\" style=\"width:1229px;max-width:100%;max-height:6870px;\"\u003e\u003c\/p\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":47995371847811,"sku":"AC96461","price":8999.0,"currency_code":"AUD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0708\/6633\/7923\/files\/nvidia_dgx_spark_founders_edition_gb10_grace_blackwell_128gb_4tb_dgx_os_ac96461_59648.jpg?v=1787797927"},{"product_id":"nvidia-jetson-orin-agx-64gb-developer-kit-ac70870","title":"NVIDIA Jetson Orin AGX 64GB Developer Kit","description":"\u003ch3 style=\"text-align: center;\"\u003e\u003cstrong\u003eThe Future of Industrial-Grade Edge AI\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003cp style=\"text-align: center;\"\u003eBring your next-gen products to life with the world’s most powerful AI computers for energy-efficient autonomous machines. NVIDIA Jetson Orin modules give you up to 275 trillion operations per second (TOPS) and 8X the performance of the last generation for multiple concurrent AI inference pipelines, plus high-speed interface support for multiple sensors. With seven different modules based on the same architecture–from the entry-level Jetson Orin Nano to the highest performance Jetson AGX Orin– this is the ideal family for a new age of robotics.\u003c\/p\u003e\n\n\u003chr class=\"CZMLKuuj\" style=\"border-top-color: rgb(223, 223, 223); box-sizing: content-box; margin: 48px 0px; font-family: Verdana, Helvetica, sans-serif; font-size: 14px; text-align: center;\"\u003e\n\u003ch3 style=\"text-align: center;\"\u003e\u003cstrong\u003eAccelerate Application Development and Prototyping With Jetson Orin Developer Kits\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003cp style=\"text-align: center;\"\u003eTwo developer kits are available to get you started developing and prototyping your next product. The compact Jetson AGX Orin Developer Kit offers maximum performance, but can also emulate any of the Jetson Orin modules. The Jetson Orin Nano Developer Kit is even smaller, and includes a reference carrier board compatible with all Orin NX and Orin Nano modules.\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003chr\u003e\n\u003ch3 style=\"text-align: center;\"\u003e\u003cstrong\u003eSpecifications\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eAI Performance: \u003c\/strong\u003e275 TOPS\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eGPU: \u003c\/strong\u003e2048-core NVIDIA Ampere architecture GPU with 64 Tensor Cores\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eGPU Max Frequency: \u003c\/strong\u003e1.3 GHz\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eCPU: \u003c\/strong\u003e12-core Arm Cortex-A78AE v8.2 64-bit CPU 3MB L2 + 6MB L3\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eCPU Max Frequency:\u003c\/strong\u003e 2.2 GHz\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eDL Accelerator:\u003c\/strong\u003e 2x NVDLA v2\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eDLA Max Frequency: \u003c\/strong\u003e1.6GHz\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eVision Accelerator:\u003c\/strong\u003e 1x PVA v2\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eMemory:\u003c\/strong\u003e 64GB 256-bit LPDDR5 204.8GB\/s\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eStorage:\u003c\/strong\u003e 64GB eMMC 5.1\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eVideo Encode:\u003c\/strong\u003e 2x 4K60 (H.265) 4x 4K30 (H.265) 8x 1080p60 (H.265) 16x 1080p30 (H.265)\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eVideo Decode:\u003c\/strong\u003e 1x 8K30 (H.265) 3x 4K60 (H.265) 7x 4K30 (H.265) 11x 1080p60 (H.265) 22x 1080p30 (H.265)\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eCSI Camera:\u003c\/strong\u003e 16-lane MIPI CSI-2 connector\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003ePCIe: \u003c\/strong\u003ex16 PCIe slot supporting x8 PCIe Gen4 M.2 Key M slot with x4 PCIe Gen4 M.2 Key E slot with x1 PCIe Gen4\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eUSB: \u003c\/strong\u003eUSB Type-C connector: 2x USB 3.2 Gen2 USB Type-A connector: 2x USB 3.2 Gen2, 2x USB 3.2 Gen1 USB Micro-B connector: USB 2.0\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eNetworking: \u003c\/strong\u003eRJ45 connector with up to 10 GbE\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eDisplay:\u003c\/strong\u003e 1x DisplayPort 1.4a (+MST) connector\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eOther I\/O: \u003c\/strong\u003e40-pin header (UART, SPI, I2S, I2C, CAN, PWM, DMIC, GPIO) 12-pin automation header 10-pin audio panel header 10-pin JTAG header 4-pin fan header 2-pin RTC batter backup connector\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003ePower: \u003c\/strong\u003e15W - 60W\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eMechanical:\u003c\/strong\u003e 110mm x 110mm x 71.65mm (Height includes feet, carrier board, module, and thermal solution)\u003c\/p\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":47995371913347,"sku":"AC70870","price":4999.0,"currency_code":"AUD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0708\/6633\/7923\/files\/945137300057000_ac70870_99974.jpg?v=1787797924"},{"product_id":"nvidia-l4-24gb-gddr6-graphics-processing-unit-ac66745","title":"NVIDIA L4 24GB GDDR6 Graphics Processing Unit","description":"\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"NVIDIA L4 24GB GDDR6 Graphics Processing Unit\" src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_l4_24gb_gddr6_graphics_processing_unit_ac66745_3729.jpg\" style=\"width: 600px; max-width: 100%; max-height: 330px;\"\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eNVIDIA L4 Tensor Core GPU\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003eThe breakthrough universal accelerator for efficient video, AI, and graphics.\u003c\/p\u003e\n\n\u003chr\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"NVIDIA L4 24GB GDDR6 Graphics Processing Unit\" src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_l4_24gb_gddr6_graphics_processing_unit_ac66745_36123.jpg\" style=\"width:600px;max-width:100%;max-height:347px;\"\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eAccelerate Video, AI, and Graphics Workloads\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003eThe NVIDIA L4 Tensor Core GPU powered by the NVIDIA Ada Lovelace architecture delivers universal, energy-efficient acceleration for video, AI, visual computing, graphics, virtualization, and more. Packaged in a low-profile form factor, L4 is a cost-effective, energy-efficient solution for high throughput and low latency in every server, from the edge to the data center to the cloud.\u003c\/p\u003e\n\n\u003chr\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"NVIDIA L4 24GB GDDR6 Graphics Processing Unit\" src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_l4_24gb_gddr6_graphics_processing_unit_ac66745_96755.jpg\" style=\"width:600px;max-width:100%;max-height:406px;\"\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eConsume Less Energy and Space With L4\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003eAs AI and video become more pervasive, the demand for efficient, cost effective computing is increasing more than ever. NVIDIA L4 Tensor Core GPUs deliver up to 120X better AI video performance, resulting in up to 99 percent better energy efficiency and lower total cost of ownership compared to traditional CPU-based infrastructure. This lets enterprises reduce rack space and significantly lower their carbon footprint, while being able to scale their data centers to many more users. The energy saved by switching from CPUs to NVIDIA L4s in a 2 megawatt (MW) data center can power nearly 2,000 homes for one year or match the carbon offset from 172,000 trees grown over 10 years.²\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e2. Results from EPA calculator using 1.677MW savings.\u003c\/p\u003e\n\n\u003chr\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"NVIDIA L4 24GB GDDR6 Graphics Processing Unit\" src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_l4_24gb_gddr6_graphics_processing_unit_ac66745_87704.jpg\" style=\"width:600px;max-width:100%;max-height:333px;\"\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eAccelerate Generative AI Performance\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003eGenerative AI for images and text makes customer lives more convenient and experiences more immersive across all industries. NVIDIA L4 supercharges compute-intensive generative AI inference by delivering up to 2.5X higher performance compared to the previous GPU generation. And with 50 percent more memory capacity, L4 enables larger image generation, up to 1024x768, which wasn’t possible on the previous GPU generation.\u003c\/p\u003e\n\n\u003chr\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"NVIDIA L4 24GB GDDR6 Graphics Processing Unit\" src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_l4_24gb_gddr6_graphics_processing_unit_ac66745_92938.jpg\" style=\"width:600px;max-width:100%;max-height:320px;\"\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eOptimize Graphics Performance\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003eWith third-generation RT Cores and AI-powered NVIDIA Deep Learning Super Sampling 3 (DLSS 3), NVIDIA L4 delivers over 4X higher performance for AI-based avatars, NVIDIA Omniverse™ virtual worlds, cloud gaming, and virtual workstations. These capabilities enable creators to build real-time, cinematic-quality graphics and scenes for immersive visual experiences not possible with CPUs.\u003c\/p\u003e\n\n\u003chr\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"NVIDIA L4 24GB GDDR6 Graphics Processing Unit\" src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_l4_24gb_gddr6_graphics_processing_unit_ac66745_37209.jpg\" style=\"width:600px;max-width:100%;max-height:340px;\"\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eAccelerate Workloads Efficiently and Sustainably\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003eNVIDIA L4 is an integral part of the NVIDIA data center platform. Built for video, AI, NVIDIA RTX™ virtual workstation (vWS), graphics, simulation, data science, and data analytics, the platform accelerates over 3,000 applications and is available everywhere at scale, from data center to edge to cloud, delivering both dramatic performance gains and energy-efficiency opportunities.\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003eOptimized for mainstream deployments, L4 delivers a low-profile form factor operating in a 72W low-power envelope, making it an efficient, cost-effective solution for any server or cloud instance from NVIDIA’s partner ecosystem.\u003c\/p\u003e\n\n\u003chr\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"NVIDIA L4 24GB GDDR6 Graphics Processing Unit\" src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_l4_24gb_gddr6_graphics_processing_unit_ac66745_97842.jpg\" style=\"width:600px;max-width:100%;max-height:343px;\"\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eStreamline Development and Deployment With Enterprise-Ready AI Software\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003eOptimized to streamline AI development and deployment, the NVIDIA AI Enterprise software suite includes AI solution workflows, frameworks, pretrained models, and infrastructure optimization that are certified to run on common data center platforms and mainstream NVIDIA-Certified Systems™ with NVIDIA L4 GPUs. \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003eNVIDIA AI Enterprise is a license addition for NVIDIA L4 GPUs, making AI accessible to nearly every organization with the highest performance in training, inference, and data science. NVIDIA AI Enterprise, together with NVIDIA L4, simplifies the building of an AI-ready platform, accelerates AI development and deployment, and delivers performance, security, and scalability to gather insights faster and achieve business value sooner.\u003c\/p\u003e\n\n\u003chr\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_l4_24gb_gddr6_graphics_processing_unit_ac66745_34866.jpg\"\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":47995371978883,"sku":"AC66745","price":5799.0,"currency_code":"AUD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0708\/6633\/7923\/files\/nvidia_l4_24gb_gddr6_graphics_processing_unit_ac66745_81504.jpg?v=1787786697"},{"product_id":"nvidia-l40-48gb-gddr6-graphics-processing-unit-ac66727","title":"NVIDIA L40 48GB GDDR6 Graphics Processing Unit","description":"\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"NVIDIA L40 48GB GDDR6 Graphics Processing Unit\" src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_l40_48gb_gddr6_graphics_processing_unit_ac66727_21948.jpg\" style=\"width:600px;max-width:100%;max-height:293px;\"\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eNVIDIA L40 GPU\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003eUnprecedented visual computing performance for the data center.\u003c\/p\u003e\n\n\u003chr\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"NVIDIA L40 48GB GDDR6 Graphics Processing Unit\" src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_l40_48gb_gddr6_graphics_processing_unit_ac66727_73860.jpg\" style=\"width:600px;max-width:100%;max-height:337px;\"\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eNVIDIA Omniverse Enterprise\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003eAs the engine of NVIDIA Omniverse™ in the data center, the NVIDIA L40 brings powerful RTX and AI capabilities to power workloads like extended (XR) and virtual reality (VR) applications, design collaboration, and digital twins. For the most complex Omniverse workloads, the NVIDIA L40 enables accelerated ray-traced and path-traced rendering of materials, physically accurate simulations, and generating photorealistic 3D synthetic data.\u003c\/p\u003e\n\n\u003chr\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"NVIDIA L40 48GB GDDR6 Graphics Processing Unit\" src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_l40_48gb_gddr6_graphics_processing_unit_ac66727_64809.jpg\" style=\"width:600px;max-width:100%;max-height:337px;\"\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eGenerative AI and Inference\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003eAI-enabled graphics, video, and image generation will allow creators to push the boundaries beyond what was previously thought possible. The L40 GPU accelerates compute-intensive AI workloads, delivering 5X higher inference performance compared to the previous generation, enabling lightning-fast generation of high-quality images and immersive visual content. Combined with NVIDIA AI Enterprise, a software layer of the NVIDIA AI platform that accelerates and streamlines development and deployment of generative AI and inference, the L40 GPU offers breakthrough performance and 48GB of memory capacity, making it the ideal platform for image generative AI applications.\u003c\/p\u003e\n\n\u003chr\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"NVIDIA L40 48GB GDDR6 Graphics Processing Unit\" src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_l40_48gb_gddr6_graphics_processing_unit_ac66727_75277.jpg\" style=\"width:600px;max-width:100%;max-height:337px;\"\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eRendering and 3D Graphics\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003eRunning professional 3D visualization applications with NVIDIA L40 enables creative professionals to iterate more, render faster, and unlock tremendous performance advantages that increase productivity and speed up project completion. Artists and designers can work in real-time with complex geometry and high-resolution textures to generate photorealistic designs and simulations and power high-fidelity creative workflows.\u003c\/p\u003e\n\n\u003chr\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"NVIDIA L40 48GB GDDR6 Graphics Processing Unit\" src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_l40_48gb_gddr6_graphics_processing_unit_ac66727_82588.jpg\" style=\"width:600px;max-width:100%;max-height:337px;\"\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eHigh-Performance Virtual Workstations\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003eWhen combined with NVIDIA RTX™ Virtual Workstation (vWS) software, the NVIDIA L40 delivers powerful virtual workstations from the data center or cloud to any device. Millions of creative and technical professionals can access the most demanding applications from anywhere with awe-inspiring performance that rivals physical workstations—all while meeting the need for greater security.\u003c\/p\u003e\n\n\u003chr\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"NVIDIA L40 48GB GDDR6 Graphics Processing Unit\" src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_l40_48gb_gddr6_graphics_processing_unit_ac66727_18139.jpg\" style=\"width:600px;max-width:100%;max-height:337px;\"\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eAI Training and Data Science\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003ePowerful training and inference performance, combined with enterprise-class stability and reliability, make the NVIDIA L40 the ideal platform for single-GPU AI training and development. The L40 reduces the time to completion for model training and development and data science data prep workflows by delivering higher throughput and support for a full range of precisions, including FP8.\u003c\/p\u003e\n\n\u003chr\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"NVIDIA L40 48GB GDDR6 Graphics Processing Unit\" src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_l40_48gb_gddr6_graphics_processing_unit_ac66727_62409.jpg\" style=\"width:600px;max-width:100%;max-height:337px;\"\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eStreaming and Video Content\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003eThe NVIDIA L40 takes streaming and video content workloads to the next level with three video encode and three video decode engines. With the addition of AV1 encoding, the L40 delivers breakthrough performance and improved TCO for broadcast streaming, video production, and transcription workflows.\u003c\/p\u003e\n\n\u003chr\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_l40_48gb_gddr6_graphics_processing_unit_ac66727_80122.jpg\"\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":47995372011651,"sku":"AC66727","price":15499.0,"currency_code":"AUD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0708\/6633\/7923\/files\/nvidia_a40_48gb_gddr6_graphics_processing_unit_ac66727_70178.jpg?v=1787786699"},{"product_id":"nvidia-jetson-orin-nx-16gb-module-ac82107","title":"NVIDIA Jetson Orin NX 16GB Module","description":"\u003cul _ngcontent-c7=\"\"\u003e\n\t\u003cli _ngcontent-c7=\"\"\u003eDL Accelerator: 2x NVDLA v2\u003c\/li\u003e\n\t\u003cli _ngcontent-c7=\"\"\u003eDLA Max Frequency: 614 MHz\u003c\/li\u003e\n\t\u003cli _ngcontent-c7=\"\"\u003eVision Accelerator: 1x PVA v2\u003c\/li\u003e\n\t\u003cli _ngcontent-c7=\"\"\u003eMemory: 16GB 128-bit LPDDR5 102.4GB\/s\u003c\/li\u003e\n\t\u003cli _ngcontent-c7=\"\"\u003eStorage: Supports external NVMe\u003c\/li\u003e\n\t\u003cli _ngcontent-c7=\"\"\u003eVideo Encode: 1x 4K60 (H.265) 3x 4K30 (H.265) 6x 1080p60 (H.265) 12x 1080p30 (H.265)\u003c\/li\u003e\n\t\u003cli _ngcontent-c7=\"\"\u003eVideo Decode: 1x 8K30 (H.265) 2x 4K60 (H.265) 4x 4K30 (H.265) 9x 1080p60 (H.265) 18x 1080p30 (H.265)\u003c\/li\u003e\n\t\u003cli _ngcontent-c7=\"\"\u003eCamera: Up to 4 cameras (8 via virtual channels) 8 lanes MIPI CSI-2 D-PHY 2.1 (up to 20Gbps)\u003c\/li\u003e\n\t\u003cli _ngcontent-c7=\"\"\u003ePCIe: 1 x4 + 3 x1 (PCIe Gen4, Root Port, \u0026amp; Endpoint)\u003c\/li\u003e\n\t\u003cli _ngcontent-c7=\"\"\u003eUSB: 3x USB 3.2 Gen2 (10 Gbps) 3x USB 2.0\u003c\/li\u003e\n\t\u003cli _ngcontent-c7=\"\"\u003eNetworking: 1x GbE\u003c\/li\u003e\n\t\u003cli _ngcontent-c7=\"\"\u003eDisplay: 1 x 8K30 multi-mode DP 1.4a (+MST)\/eDP 1.4a\/HDMI 2.1\u003c\/li\u003e\n\t\u003cli _ngcontent-c7=\"\"\u003eOther I\/O: 3x UART, 2x SPI, 2x I2S, 4x I2C, 1x CAN, DMIC \u0026amp; DSPK, PWM, GPIOs\u003c\/li\u003e\n\t\u003cli _ngcontent-c7=\"\"\u003ePower: 10W - 25W\u003c\/li\u003e\n\t\u003cli _ngcontent-c7=\"\"\u003eMechanical: 69.6mm x 45mm 260-pin SO-DIMM connector\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":47995372044419,"sku":"AC82107","price":1699.0,"currency_code":"AUD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0708\/6633\/7923\/files\/nvidia_jetson_orin_nx_16gb_module_ac82107_13550.jpg?v=1787797922"},{"product_id":"nvidia-mellanox-connectx6-lx-en-25gbe-network-interface-card-ac66748","title":"NVIDIA Mellanox ConnectX-6 Lx EN 25GbE Network Interface Card","description":"\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"NVIDIA Mellanox ConnectX-6 Lx EN Network Interface Card\" src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_mellanox_connectx6_lx_en_network_interface_card_ac66748_68656.jpg\" style=\"width: 600px; max-width: 100%; max-height: 600px;\"\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eConnectX-6 Lx\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e25GbE Performance at the Speed of Lite\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003eNVIDIA® Mellanox® ConnectX®-6 Lx SmartNICs deliver scalability, high performance, advanced security capabilities and accelerated networking combined with the lowest total cost of ownership for 25GbE deployments in Cloud, telco, and enterprise data centers.\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eDual-Port 25GbE\/Single-Port 50GbE SmartNIC\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003eProviding up to two ports of 25GbE or a single-port of 50GbE connectivity, and PCIe Gen 3.0\/4.0 x8 host connectivity, ConnectX-6 Lx is a member of NVIDIA’s world-class, award-winning, ConnectX family of network adapters. Continuing consistent innovation in networking, ConnectX-6 Lx provides agility and efficiency at every scale. ConnectX-6 Lx delivers cutting edge 25GbE performance and security for uncompromising data centers.\u003c\/p\u003e\n\n\u003chr\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"NVIDIA Mellanox ConnectX-6 Lx EN Network Interface Card\" src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_mellanox_connectx6_lx_en_network_interface_card_ac66748_88504.jpg\" style=\"width:410px;max-width:100%;max-height:231px;\"\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eSDN Acceleration\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003eNVIDIA Accelerated Switching and Packet Processing® technology offloads the SDN data plane to the SmartNIC, accelerating performance and offloading the CPU in virtualized or containerized cloud data centers. Customers can accelerate their data centers with an SR-IOV or VirtIO interface while continuing to enjoy their SDN of choice.\u003c\/p\u003e\n\n\u003chr\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"NVIDIA Mellanox ConnectX-6 Lx EN Network Interface Card\" src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_mellanox_connectx6_lx_en_network_interface_card_ac66748_11510.jpg\" style=\"width:410px;max-width:100%;max-height:231px;\"\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eIndustry-leading RoCE\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003eFollowing the ConnectX tradition of industry-leading RoCE capabilities, ConnectX-6 Lx enables more scalable, resilient, and easy-to-deploy RoCE solutions utilizing NVIDIA Zero Touch RoCE (ZTR). ConnectX-6 Lx allows RoCE payloads to run seamlessly on existing networks without requiring network configuration (no PFC, no ECN) for simplified RoCE deployments.\u003c\/p\u003e\n\n\u003chr\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"NVIDIA Mellanox ConnectX-6 Lx EN Network Interface Card\" src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_mellanox_connectx6_lx_en_network_interface_card_ac66748_50877.jpg\" style=\"width:410px;max-width:100%;max-height:231px;\"\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eSecure Infrastructure\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003eIn an era where privacy of information is key and zero trust is the rule, ConnectX-6 Lx provides supply chain protection with hardware Root-of-Trust (RoT) for Secure Boot as well as secure firmware update using RSA cryptography and cloning-protection, via a device-unique key, to guarantee firmware authenticity and unprecedented performance and scalability.\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp\u003e \u003c\/p\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":47995372077187,"sku":"AC66748","price":760.95,"currency_code":"AUD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0708\/6633\/7923\/files\/nvidia_mellanox_connectx6_lx_en_network_interface_card_ac66748_85081.jpg?v=1787797924"},{"product_id":"nvidia-qsfp112-400g-05m-passive-direct-attach-cable-for-dgx-spark-stacking-ac97235","title":"NVIDIA QSFP112 400G 05m Passive Direct Attach Cable for DGX Spark Stacking","description":"\u003ch3 style=\"text-align: center;\"\u003e\u003cstrong\u003eSPECIFICATIONS:\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cdiv style=\"text-align: center;\"\u003eData Rate - 400 Gb\/s\u003c\/div\u003e\n\n\u003cdiv style=\"text-align: center;\"\u003eForm Factor -\u003cspan style=\"white-space:pre\"\u003e \u003c\/span\u003eQSFP112 to QSFP112\u003c\/div\u003e\n\n\u003cdiv style=\"text-align: center;\"\u003eCable Type -\u003cspan style=\"white-space:pre\"\u003e \u003c\/span\u003ePassive copper twinax (DAC)\u003c\/div\u003e\n\n\u003cdiv style=\"text-align: center;\"\u003eLength -\u003cspan style=\"white-space:pre\"\u003e \u003c\/span\u003e0.5 m\u003c\/div\u003e\n\n\u003cdiv style=\"text-align: center;\"\u003eElectrical Lanes -\u003cspan style=\"white-space:pre\"\u003e \u003c\/span\u003e4× 100G PAM4 (400GBASE-CR4)\u003c\/div\u003e\n\n\u003cdiv style=\"text-align: center;\"\u003ePower -\u003cspan style=\"white-space:pre\"\u003e \u003c\/span\u003ePassive, near-zero port power\u003c\/div\u003e\n\n\u003cdiv style=\"text-align: center;\"\u003eTypical Use -\u003cspan style=\"white-space:pre\"\u003e \u003c\/span\u003eIntra-rack, short interconnects\u003c\/div\u003e\n\u003cstyle type=\"text\/css\"\u003eh1 {\n        font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;\n        color: #000000;\n        margin-bottom: 10px;\n        font-size: 24px;\n    }\n    table {\n        width: 100%;\n        max-width: 600px;\n        border-collapse: collapse;\n        font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;\n        margin: 0;\n        box-shadow: 0 4px 6px rgba(0, 0, 0, 0.05);\n        border-radius: 8px;\n        overflow: hidden;\n    }\n    th, td {\n        padding: 12px 15px;\n        text-align: left;\n        color: #000000; \n    }\n    th {\n        background-color: #f4f7fa;\n        font-weight: 600;\n        width: 30%;\n        border-bottom: 1px solid #e2e8f0;\n    }\n    td {\n        background-color: #ffffff;\n        border-bottom: 1px solid #e2e8f0;\n    }\n    tr:last-child th, tr:last-child td {\n        border-bottom: none;\n    }\n    tr:nth-child(even) td {\n        background-color: #fcfdfe;\n    }\n\u003c\/style\u003e\n\u003cstyle class=\"darkreader darkreader--sync\" media=\"screen\" type=\"text\/css\"\u003e\n\u003c\/style\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":47995372109955,"sku":"AC97235","price":249.0,"currency_code":"AUD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0708\/6633\/7923\/files\/nvidia_qsfp112_400g_05m_passive_direct_attach_cable_for_dgx_spark_stacking_ac97235_917.jpg?v=1787786716"},{"product_id":"nvidia-mellanox-mma1b00c100d-optical-transceiver-100gbe-qsfp28-up-to-100m-ac66749","title":"NVIDIA Mellanox MMA1B00-C100D Optical Transceiver - 100GbE, QSFP28, up to 100m","description":"\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"NVIDIA Mellanox Optical Transceiver - 100GbE, QSFP28, up to 100m\" src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_mellanox_optical_transceiver_100gbe_qsfp28_up_to_100m_ac66749_16857.jpg\" style=\"width:600px;max-width:100%;max-height:183px;\"\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003eMellanox optical transceiver - 100GbE, QSFP28, up to 100m\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003eMellanox LinkX optical cables and transceivers make 100Gb\/s deployments as easy as 10Gb\/s. A wide range of products supports Ethernet and InfiniBand (IB) applications with reaches from 3m to 10km. In addition to meeting or exceeding IBTA and IEEE standards, LinkX certified products are 100% tested on Mellanox equipment to ensure optimal signal integrity and the best end-to-end performance. With Mellanox optical cables and transceivers, you will experience troublefree installation and long-term operation.\u003c\/p\u003e\n\n\u003chr\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eFeatures\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e - Technology : Ethernet\u003cbr\u003e\n - Max Speed : 100 GbE\u003cbr\u003e\n - Connector Type : QSFP28\u003cbr\u003e\n - Transceiver Reach : 100 m ±\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":47995372142723,"sku":"AC66749","price":369.95,"currency_code":"AUD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0708\/6633\/7923\/files\/nvidia_mellanox_optical_transceiver_100gbe_qsfp28_up_to_100m_ac66749_18745.jpg?v=1787797925"},{"product_id":"nvidia-mellanox-connectx6-dx-en-network-interface-card-ac66747","title":"NVIDIA Mellanox ConnectX-6 Dx EN Network Interface Card","description":"\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"NVIDIA Mellanox ConnectX-6 Dx EN Network Interface Card\" src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_mellanox_connectx6_dx_en_network_interface_card_ac66747_47124.jpg\" style=\"width:600px;max-width:100%;max-height:600px;\"\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eConnectX-6\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003eThe Highest Performance and Most Flexible Solution\u003c\/p\u003e\n\n\u003chr\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"NVIDIA Mellanox ConnectX-6 Dx EN Network Interface Card\" src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_mellanox_connectx6_dx_en_network_interface_card_ac66747_43307.jpg\" style=\"width:291px;max-width:100%;max-height:223px;\"\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003eBlock-level XTS-AES mode hardware encryption\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003eConnectX-6 offers a crucial innovation to network security by providing block-level encryption. Data in transit undergoes encryption and decryption as it is stored or retrieved. The encryption\/decryption is offloaded by the ConnectX-6 hardware, saving latency and offloading CPU. ConnectX-6 block-level encryption offload enables protection between users sharing the same resources, as different encryption keys can be used.\u003c\/p\u003e\n\n\u003chr\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"NVIDIA Mellanox ConnectX-6 Dx EN Network Interface Card\" src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_mellanox_connectx6_dx_en_network_interface_card_ac66747_2193.jpg\" style=\"width:260px;max-width:100%;max-height:253px;\"\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eMachine Learning and Big Data Environments\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003eMachine learning relies on especially high throughput and low latency to train deep neural networks and to improve recognition and classification accuracy. As the first adapter to deliver 200Gb\/s throughput, ConnectX-6 is the perfect solution to provide machine learning applications with the levels of performance and scalability that they require.\u003c\/p\u003e\n\n\u003chr\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"NVIDIA Mellanox ConnectX-6 Dx EN Network Interface Card\" src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_mellanox_connectx6_dx_en_network_interface_card_ac66747_80597.jpg\" style=\"width:337px;max-width:100%;max-height:230px;\"\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eCloud and Web 2.0 Environments\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003eConnectX-6 offers NVIDIA Accelerated Switching And Packet Processing (ASAP2) Direct technology to offload the vSwitch\/vRouter by handling the data plane in the NIC hardware while maintaining the control plane unmodified. As a result, significantly higher vSwitch\/vRouter performance is achieved without the associated CPU load.\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp\u003e \u003c\/p\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":47995372175491,"sku":"AC66747","price":2495.95,"currency_code":"AUD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0708\/6633\/7923\/files\/nvidia_mellanox_connectx6_dx_en_network_interface_card_ac66747_5172.jpg?v=1787746940"},{"product_id":"nvidia-rtx-a400-4gb-professional-video-card-ac75139","title":"NVIDIA RTX A400 4GB Professional Video Card","description":"\u003ch2 class=\"_2ue22Jnr\" style=\"box-sizing: border-box; margin: 0px; font-size: 2rem; font-family: Verdana, Helvetica, sans-serif; text-align: center;\"\u003e\u003cimg alt=\"NVIDIA RTX A400 4GB Professional Video Card\" src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_rtx_a400_4gb_professional_video_card_ac75139_58453.jpg\" style=\"width:1229px;max-width:100%;max-height:551px;\"\u003e\u003c\/h2\u003e\n\n\u003ch3 style=\"text-align: center;\"\u003e\u003cstrong\u003eNVIDIA RTX A400\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003ePower and Performance in a Small Form Factor\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003eThe NVIDIA RTX A400, built on the NVIDIA Ampere GPU architecture, puts the power of Al and ray tracing acceleration into the hands of more professionals. Featuring 768 CUDA Cores, 24 third-generation Tensor Cores, six second-generation RT Cores, and 4GB of GDDR6 graphics memory, the RTX A400 ensures Al-powered workflows and stunning ray-traced visuals are delivered with unprecedented performance in a space-saving design. \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003eWith its compact form factor, the RTX A400 fits effortlessly into any workstation, providing the necessary performance and capabilities for today's professional workflows without compromising on efficiency or workspace. Create expansive workspaces with four physical display connectors for multi-display canvases to efficiently visualise large amounts of data.\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003eNVIDIA RTX professional graphics cards are certified for a broad range of professional applications, tested by leading independent software vendors (ISVs) and workstation manufacturers, and backed by a global team of support specialists. Get the peace of mind to focus on what matters with the premier visual computing solution for mission-critical business.\u003c\/p\u003e\n\n\u003chr class=\"CZMLKuuj\" style=\"border-top-color: rgb(223, 223, 223); box-sizing: content-box; margin: 48px 0px; font-family: Verdana, Helvetica, sans-serif; font-size: 14px; text-align: center;\"\u003e\n\u003ch4 _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 1.5rem 0px; outline: 0px; box-shadow: none; font-family: Roboto, sans-serif; line-height: 1.2; color: rgb(219, 9, 98); font-size: 18px; text-align: center; text-transform: uppercase;\"\u003eTECHNICAL DETAILS\u003c\/h4\u003e\n\n\u003cdiv _ngcontent-c7=\"\" class=\"table-responsive\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none; width: 1110px; overflow-x: auto; color: rgb(52, 58, 64); font-family: Roboto, sans-serif; font-size: 16px;\"\u003e\n\u003ctable _ngcontent-c7=\"\" align=\"center\" class=\"table\" style=\"background-color:transparent;border-collapse:collapse;box-shadow:none;margin:0px 0px 1rem;outline:0px;padding:0px;position:relative;width:1110px;\"\u003e\n\t\u003ctbody _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eModel\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003eNVIDIA RTX A400\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eGPU memory\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003e4GB GDDR6\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eMemory interface\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003e64-bit\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eMemory bandwidth\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003e96 GB\/s\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eError-correcting code (ECC)\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003eNone\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eCUDA Cores\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003e768\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eTensor Cores\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003e24\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eRT Cores\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003e6\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eSingle-precision performance\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003e2.7 TFLOPS\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eRT Core performance\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003e5.4 TFLOPS\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eTensor performance\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003e21.7 TFLOPS\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eNVIDIA NVLink\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003eNone\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eNVIDIA NVLink bandwidth\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003eNone\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eSystem interface\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003ePCIe 4.0 x8\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003ePower consumption\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003e50 W\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eThermal solution\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003eActive\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eForm factor\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003e2.7\" H x 6.4\" L, Single Slot\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eDisplay connectors\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003e4x Mini DisplayPort 1.4a\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eMax simultaneous displays\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003e4x 4096 x 2160 @ 120 Hz\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eMax simultaneous displays\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003e4x 5120 x 2880 @ 60 Hz\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eEncode\/decode engines\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003e1x encode, 1x decode (+AV1 decode)\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eVR ready\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003eNo\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003evGPU software support\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003eNo\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eGraphics APIs\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003eDirectX 12, Shader Model 6.6\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eGraphics APIs\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003eOpenGL 4.6, Vulkan 1.3\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eCompute APIs\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003eCUDA 11.6, OpenCL 3.0, DirectCompute\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\n\u003cdiv class=\"spec-highlight__container\" style=\"margin: 32px 0px 0px; padding: 0px; vertical-align: top; box-sizing: border-box; color: rgb(0, 0, 0); font-family: SamsungOne, arial, sans-serif; font-size: 14px;\"\u003e\n\u003cdiv aria-labelledby=\"tabId0\" class=\"spec-highlight__contents is-active\" id=\"tabPanelId0\" role=\"tabpanel\" style=\"margin: 0px; padding: 0px; vertical-align: top; box-sizing: border-box; background-color: rgb(247, 247, 247);\"\u003e \u003c\/div\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":47995372241027,"sku":"AC75139","price":349.0,"currency_code":"AUD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0708\/6633\/7923\/files\/nvidia_rtx_a400_4gb_professional_video_card_ac75139_21164.jpg?v=1787746937"},{"product_id":"nvidia-linkx-ethernet-optics-transceiver-ac66726","title":"NVIDIA LinkX Ethernet Optics Transceiver","description":"\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"NVIDIA LinkX10GbE SFP+ MMF Optical Transceiver\" src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_linkx10gbe_sfp_mmf_optical_transceiver_ac66726_7429.jpg\" style=\"width:600px;max-width:100%;max-height:363px;\"\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eNVIDIA LinkX Ethernet Optics Transceiver\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003eNVIDIA LinkX Optics Ethernet transceivers are used to create high-speed, 100G-400G links supporting every configuration, reach, and speed in networks requiring detachable optical connectors. LinkX transceivers are designed to create high-speed 25G-400G optical links in Ethernet switching networks, Ethernet storage fabrics (ESF) linking hard-disk-drive (HDD) and flash memory subsystems, and NVIDIA GPU-based, end-to-end AI systems. All transceivers are extensively tested in live GPU and switching systems and used in NVIDIA-Certified Systems.\u003c\/p\u003e\n\n\u003chr\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eFeatures\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003eExtensively tested in live NVIDIA switching and GPU-based systems\u003cbr\u003e\nLow-cost, low- latency, long reaches\u003cbr\u003e\nExtensive 25\/50\/100\/200\/400G product offering for every need\u003cbr\u003e\nTested and certified in NVIDIA GPU, DGX, EGX, and DPU systems\u003cbr\u003e\nMany parts designed and manufactured by LinkX Optics\u003cbr\u003e\n100 percent factory tested in live switching and GPU-based systems\u003cbr\u003e\nDesigned to beyond IEEE industry BER standards for reliable operation under harsh operating conditions\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":47995372208259,"sku":"AC66726","price":269.95,"currency_code":"AUD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0708\/6633\/7923\/files\/nvidia_linkx10gbe_sfp_mmf_optical_transceiver_ac66726_50584.jpg?v=1787797929"},{"product_id":"nvidia-rtx-2000-ada-16gb-gddr6-video-card-ac73320","title":"NVIDIA RTX 2000 Ada 16GB GDDR6 Video Card","description":"\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003ePowered by the NVIDIA Ada Lovelace Architecture\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"NVIDIA RTX 2000 Ada Generation GDDR6 Video Card\" src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_rtx_2000_ada_generation_gddr6_video_card_ac73320_13187.jpg\" style=\"width:96px;max-width:100%;max-height:96px;\"\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eNVIDIA Ada Lovelace Architecture-Based CUDA Cores\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e1.5X the speed of the previous generation for single-precision floating-point (FP32) operations provides significant performance improvements for graphics and simulation workflows on the desktop, such as complex 3D computer-aided design (CAD) and computer-aided engineering (CAE).\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"NVIDIA RTX 2000 Ada Generation GDDR6 Video Card\" src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_rtx_2000_ada_generation_gddr6_video_card_ac73320_18421.jpg\" style=\"width:96px;max-width:100%;max-height:96px;\"\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eThird-Generation RT Cores\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003eWith up to 1.7X the throughput over the previous generation, third-generation RT Cores deliver massive speedups for workloads like photorealistic rendering of movie content, architectural design evaluations, and virtual prototyping of product designs. This technology also accelerates the rendering of ray-traced motion blur with greater visual accuracy.\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"NVIDIA RTX 2000 Ada Generation GDDR6 Video Card\" src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_rtx_2000_ada_generation_gddr6_video_card_ac73320_68255.jpg\" style=\"width:96px;max-width:100%;max-height:96px;\"\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eFourth-Generation Tensor Cores\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003eFourth-generation Tensor Cores deliver up to 1.8X the AI performance of the previous generation. These Tensor Cores support acceleration of the FP8 precision data type and provide independent floating-point and integer data paths to speed up execution of mixed floating-point and integer calculations.\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"NVIDIA RTX 2000 Ada Generation GDDR6 Video Card\" src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_rtx_2000_ada_generation_gddr6_video_card_ac73320_18090.jpg\" style=\"width:96px;max-width:100%;max-height:96px;\"\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e16GB of GPU Memory\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003eWith 16GB GDDR6 memory, RTX 2000 gives designers, engineers, and creative professionals the large memory needed to work with large models, datasets, and workloads like rendering, product design, and virtual reality.\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"NVIDIA RTX 2000 Ada Generation GDDR6 Video Card\" src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_rtx_2000_ada_generation_gddr6_video_card_ac73320_84287.jpg\" style=\"width:96px;max-width:100%;max-height:96px;\"\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eAV1 Encoders\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003eEighth-generation dedicated hardware encoder (NVENC) with AV1 encoding unlocks new opportunities for streamers, broadcasters, and video conferencing. It’s 40% more efficient than H.264, allowing users streaming at 1080p to increase their resolution to 1440p while running at the same bit rate and quality.\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003chr\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eUnlock the Power of NVIDIA RTX for Your Workloads\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"NVIDIA RTX 2000 Ada Generation GDDR6 Video Card\" src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_rtx_2000_ada_generation_gddr6_video_card_ac73320_50484.jpg\" style=\"width:600px;max-width:100%;max-height:1785px;\"\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003chr\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003ePerformance for Endless Possibilities\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003eWith full-size performance in a compact GPU form factor, the RTX 2000 enables you to stay ahead of the curve in today’s competitive business landscape. Delivering up to 1.6X higher performance than the previous generation, RTX 2000 helps you take your work to new heights.\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"NVIDIA RTX 2000 Ada Generation GDDR6 Video Card\" src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_rtx_2000_ada_generation_gddr6_video_card_ac73320_96501.jpg\" style=\"width:600px;max-width:100%;max-height:659px;\"\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003chr\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"NVIDIA RTX 2000 Ada Generation GDDR6 Video Card\" src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_rtx_2000_ada_generation_gddr6_video_card_ac73320_42850.jpg\" style=\"width:570px;max-width:100%;max-height:1426px;\"\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":47995372306563,"sku":"AC73320","price":1199.0,"currency_code":"AUD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0708\/6633\/7923\/files\/nvidia_rtx_2000_ada_generation_gddr6_video_card_ac73320_21069.jpg?v=1787786702"},{"product_id":"nvidia-rtx-a1000-8gb-professional-video-card-ac75138","title":"NVIDIA RTX A1000 8GB Professional Video Card","description":"\u003ch2 class=\"_2ue22Jnr\" style=\"box-sizing: border-box; margin: 0px; font-size: 2rem; font-family: Verdana, Helvetica, sans-serif; text-align: center;\"\u003e\u003cimg alt=\"NVIDIA RTX A1000 8GB Professional Video Card\" src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_rtx_a1000_8gb_professional_video_card_ac75138_20458.jpg\" style=\"width:1229px;max-width:100%;max-height:758px;\"\u003e\u003c\/h2\u003e\n\n\u003ch3 style=\"text-align: center;\"\u003e\u003cstrong\u003eNVIDIA RTX A1000\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eSmall Size, Big Impact - The Ultimate Compact Power\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003eThe NVIDIA RTX A1000 is a powerful, low-profile GPU that brings RTX-powered real time ray tracing and Al acceleration to a whole new audience. Built on the NVIDIA Ampere GPU architecture, it combines 2,304 CUDA Cores, 72 third-generation Tensor Cores, and 18 second-generation RT Cores, and 8GB of GDDR6 graphics memory. With the RTX A1000, you can create more compelling visuals, explore new Al-powered workflows, and boost your productivity, all from a small-form-factor solution. \u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003eNVIDIA RTX professional graphics cards are certified for a broad range of professional applications, tested by leading independent software vendors (ISVs) and workstation manufacturers, and backed by a global team of support specialists. Get the peace of mind to focus on what matters with the premier visual computing solution for mission-critical business.\u003c\/p\u003e\n\n\u003chr class=\"CZMLKuuj\" style=\"border-top-color: rgb(223, 223, 223); box-sizing: content-box; margin: 48px 0px; font-family: Verdana, Helvetica, sans-serif; font-size: 14px; text-align: center;\"\u003e\n\u003ch4 _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 1.5rem 0px; outline: 0px; box-shadow: none; font-family: Roboto, sans-serif; line-height: 1.2; color: rgb(219, 9, 98); font-size: 18px; text-align: center; text-transform: uppercase;\"\u003eTECHNICAL DETAILS\u003c\/h4\u003e\n\n\u003cdiv _ngcontent-c7=\"\" class=\"table-responsive\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none; width: 1110px; overflow-x: auto; color: rgb(52, 58, 64); font-family: Roboto, sans-serif; font-size: 16px;\"\u003e\n\u003ctable _ngcontent-c7=\"\" align=\"center\" class=\"table\" style=\"background-color:transparent;border-collapse:collapse;box-shadow:none;margin:0px 0px 1rem;outline:0px;padding:0px;position:relative;width:1110px;\"\u003e\n\t\u003ctbody _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eModel\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003eNVIDIA RTX A1000\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eGPU memory\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003e8GB GDDR6\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eMemory interface\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003e128-bit\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eMemory bandwidth\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003e192 GB\/s\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eError-correcting code (ECC)\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003eNone\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eCUDA Cores\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003e2304\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eTensor Cores\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003e72\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eRT Cores\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003e18\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eSingle-precision performance\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003e6.7 TFLOPS\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eRT Core performance\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003e13.2 TFLOPS\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eTensor performance\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003e53.8 TFLOPS\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eNVIDIA NVLink\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003eNone\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eNVIDIA NVLink bandwidth\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003eNone\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eSystem interface\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003ePCIe 4.0 x8\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003ePower consumption\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003e50 W\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eThermal solution\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003eActive\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eForm factor\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003e2.7\" H x 6.4\" L, Single Slot\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eDisplay connectors\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003e4x Mini DisplayPort 1.4a\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eMax simultaneous displays\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003e4x 4096 x 2160 @ 120 Hz\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eMax simultaneous displays\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003e4x 5120 x 2880 @ 60Hz\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eMax simultaneous displays\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003e2x 7680 x 4320 @ 30Hz\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eEncode\/decode engines\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003e1x encode, 2x decode (+AV1 decode)\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eVR ready\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003eNo\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003evGPU software support\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003eNo\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003evGPU profiles supported\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003eNo\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eGraphics APIs\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003eDirectX 12, Shader Model 6.6\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eGraphics APIs\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003eOpenGL 4.6, Vulkan 1.3\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\t\u003ctr _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0px; margin: 0px; outline: 0px; box-shadow: none;\"\u003e\n\t\t\t\u003cth _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; text-align: right; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem; font-weight: 500;\"\u003eCompute APIs\u003c\/th\u003e\n\t\t\t\u003ctd _ngcontent-c7=\"\" style=\"box-sizing: border-box; padding: 0.75rem; margin: 0px; outline: 0px; box-shadow: none; vertical-align: top; border-top: none; border-bottom: 1px solid rgba(0, 0, 0, 0.125); width: 555px; font-size: 1rem;\"\u003eCUDA 11.6, OpenCL 3.0, DirectCompute\u003c\/td\u003e\n\t\t\u003c\/tr\u003e\n\t\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\n\u003cdiv class=\"spec-highlight__container\" style=\"margin: 32px 0px 0px; padding: 0px; vertical-align: top; box-sizing: border-box; color: rgb(0, 0, 0); font-family: SamsungOne, arial, sans-serif; font-size: 14px;\"\u003e\n\u003cdiv aria-labelledby=\"tabId0\" class=\"spec-highlight__contents is-active\" id=\"tabPanelId0\" role=\"tabpanel\" style=\"margin: 0px; padding: 0px; vertical-align: top; box-sizing: border-box; background-color: rgb(247, 247, 247);\"\u003e \u003c\/div\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":47995372339331,"sku":"AC75138","price":799.0,"currency_code":"AUD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0708\/6633\/7923\/files\/nvidia_rtx_a1000_8gb_professional_video_card_ac75138_11912.jpg?v=1787797927"},{"product_id":"nvidia-rtx-6000-96gb-gddr7-professional-video-card-blackwell-server-edition-ac84368","title":"NVIDIA RTX 6000 96GB GDDR7 Professional Video Card - Blackwell Server Edition","description":"\u003cdiv style=\"text-align:center\"\u003e\u003cobject allowfullscreen=\"true\" allowscriptaccess=\"always\" data=\"https:\/\/www.youtube.com\/embed\/xF1kkf7zXRA?rel=0\u0026amp;hl=en_US\" style=\"width: 925px; max-width: 100%; aspect-ratio: 16 \/ 9\"\u003e\u003c\/object\u003e\u003c\/div\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_rtx_6000_96gb_gddr7_professional_video_card_blackwell_server_edition_ac84368_31423.jpg\"\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":47995372372099,"sku":"AC84368","price":24999.0,"currency_code":"AUD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0708\/6633\/7923\/files\/nvidia_rtx_6000_96gb_gddr7_professional_video_card_blackwell_server_edition_ac84368_80201.jpg?v=1787797926"},{"product_id":"nvidia-rtx-a2000-12gb-professional-video-card-ac51492","title":"NVIDIA RTX A2000 12GB Professional Video Card","description":"\u003ch3 class=\"_2ue22Jnr\" style=\"box-sizing: border-box; margin: 0px; font-size: 2rem; font-family: Arial, Helvetica, sans-serif; text-align: center;\"\u003e\u003cimg alt=\"Leadtek NVIDIA RTX A2000 12GB Professional Video Card - Desktop Overview 1\" class=\"_3QrbAQ8L\" src=\"https:\/\/www.mwave.com.au\/images\/400\/leadtek_nvidia_rtx_a2000_6gb_professional_video_card_ac47567_4.jpg\" style=\"box-sizing: border-box; max-width: 800px; margin: 32px auto 0px; font-size: 14px;\"\u003e\u003c\/h3\u003e\n\n\u003ch3 style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"font-size:18px;\"\u003e\u003cspan style=\"font-family:verdana,geneva,sans-serif;\"\u003ePerformance Features\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/h3\u003e\n\n\u003ch4 style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"font-size:16px;\"\u003e\u003cspan style=\"font-family:verdana,geneva,sans-serif;\"\u003eNVIDIA Ampere Architecture\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/h4\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"font-size:14px;\"\u003e\u003cspan style=\"font-family:verdana,geneva,sans-serif;\"\u003eNVIDIA RTX A2000 | RTX A2000 12GB (RTX A2000 series GPUs) is the most powerful dual-slot, low profile GPU solution offering high-performance real-time ray tracing, AI-accelerated computing, and professional graphics rendering, all of this in a compact design with unmatched performance. Building upon the major SM enhancements from the Turing GPU, the NVIDIA Ampere architecture enhances ray tracing operations, tensor matrix operations, and concurrent executions of FP32 and INT32 operations.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003ch4 style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"font-size: 16px;\"\u003e\u003cspan style=\"font-family: verdana, geneva, sans-serif;\"\u003eCUDA Cores\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/h4\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"font-size:14px;\"\u003e\u003cspan style=\"font-family:verdana,geneva,sans-serif;\"\u003eThe NVIDIA Ampere architecture-based CUDA cores bring up to 2.7X the single-precision floating point (FP32) throughput compared to the previous generation, providing significant performance improvements for graphics workflows such as 3D model development and computing for workloads such as desktop simulation for computer-aided engineering (CAE). The RTX A2000 series GPUs enable two FP32 primary data paths, doubling the peak FP32 operations.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003ch4 style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"font-size: 16px;\"\u003e\u003cspan style=\"font-family: verdana, geneva, sans-serif;\"\u003e2nd Generation RT Cores\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/h4\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"font-size:14px;\"\u003e\u003cspan style=\"font-family:verdana,geneva,sans-serif;\"\u003eIncorporating 2nd generation ray tracing engines, NVIDIA Ampere architecture-based GPUs provide incredible ray-traced rendering performance. For the first time, NVIDIA is introducing RT Cores into a low profile form factor GPU. A single RTX A2000 series board can render complex professional models with physically accurate shadows, reflections, and refractions to empower users with instant insight. Working in concert with applications leveraging APIs such as NVIDIA OptiX, Microsoft DXR and Vulkan ray tracing, systems based on RTX A2000 series GPUs will power truly interactive design workflows to provide immediate feedback for unprecedented levels of productivity. RTX A2000 series GPUs are up to 5X faster in ray tracing than the previous generation. This technology also speeds up the rendering of ray-traced motion blur for faster results with greater visual accuracy.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"font-size: 16px;\"\u003e\u003cspan style=\"font-family: verdana, geneva, sans-serif;\"\u003e3rd Generation Tensor Cores\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"font-size:14px;\"\u003e\u003cspan style=\"font-family:verdana,geneva,sans-serif;\"\u003ePurpose-built for deep learning matrix arithmetic at the heart of neural network training and inferencing functions, RTX A2000 series GPUs include enhanced Tensor Cores that accelerate more datatypes and include a new Fine-Grained Structured Sparsity feature that delivers up to 2X throughput for tensor matrix operations compared to the previous generation. New Tensor Cores will accelerate two new TF32 and BFloat16 precision modes. Independent floating-point and integer data paths allow more efficient execution of workloads using a mix of computation and addressing calculations.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"font-size: 16px;\"\u003e\u003cspan style=\"font-family: verdana, geneva, sans-serif;\"\u003ePCIe Gen 4\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"font-size:14px;\"\u003e\u003cspan style=\"font-family:verdana,geneva,sans-serif;\"\u003eThe RTX A2000 series GPUs support PCI Express Gen 4, which provides double the bandwidth of PCIe Gen 3, improving data-transfer speeds from CPU memory for data-intensive tasks like AI and data science.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"font-size: 16px;\"\u003e\u003cspan style=\"font-family: verdana, geneva, sans-serif;\"\u003eHigher Speed GDDR6 Memory\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"font-size:14px;\"\u003e\u003cspan style=\"font-family:verdana,geneva,sans-serif;\"\u003eWith 12GB GDDR6 memory, the RTX A2000 series GPUs provide an ideal memory footprint to address datasets and models in latency-sensitive professional applications and at volume.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"font-size: 16px;\"\u003e\u003cspan style=\"font-family: verdana, geneva, sans-serif;\"\u003eError Correcting Code (ECC) on Graphics Memory\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"font-size:14px;\"\u003e\u003cspan style=\"font-family:verdana,geneva,sans-serif;\"\u003eMeet strict data integrity requirements for mission-critical applications with uncompromised computing accuracy and reliability for workstations.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"font-size: 16px;\"\u003e\u003cspan style=\"font-family: verdana, geneva, sans-serif;\"\u003e5th Generation NVDEC Engine\u003csup\u003ei\u003c\/sup\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"font-size:14px;\"\u003e\u003cspan style=\"font-family:verdana,geneva,sans-serif;\"\u003eNVDEC is well suited for transcoding and video playback applications for real-time decoding. The following video codecs are supported for hardware-accelerated decoding: MPEG-2, VC-1, H.264 (AVCHD), H.265 (HEVC), VP8, VP9, and AV1.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"font-size: 16px;\"\u003e\u003cspan style=\"font-family: verdana, geneva, sans-serif;\"\u003e7th Generation NVENC Engine\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"font-size:14px;\"\u003e\u003cspan style=\"font-family:verdana,geneva,sans-serif;\"\u003eNVENC can take on the most demanding 4K or 8K video encoding tasks to free up the graphics engine and the CPU for other operations. The RTX A2000 series GPUs provide better encoding quality than software-based x264 encoders.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"font-size: 16px;\"\u003e\u003cspan style=\"font-family: verdana, geneva, sans-serif;\"\u003eGraphics Preemption\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"font-size:14px;\"\u003e\u003cspan style=\"font-family:verdana,geneva,sans-serif;\"\u003ePixel-level preemption provides more granular control to better support time-sensitive tasks such as VR motion tracking.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"font-size: 16px;\"\u003e\u003cspan style=\"font-family: verdana, geneva, sans-serif;\"\u003eCompute Preemption\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"font-size:14px;\"\u003e\u003cspan style=\"font-family:verdana,geneva,sans-serif;\"\u003ePreemption at the instruction level provides finer grain control over compute tasks to prevent long-running applications from either monopolising system resources or timing out.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"font-size: 16px;\"\u003e\u003cspan style=\"font-family: verdana, geneva, sans-serif;\"\u003eNVIDIA RTX IO\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"font-size:14px;\"\u003e\u003cspan style=\"font-family:verdana,geneva,sans-serif;\"\u003eAccelerating GPU-based lossless decompression performance by up to 100x and 20x lower CPU utilisation compared to traditional storage APIs using Microsoft's new DirectStorage for Windows API. RTX IO moves data from the storage to the GPU in a more efficient, compressed form, improving I\/O performance.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"font-size:12px;\"\u003e\u003cspan style=\"font-family:verdana,geneva,sans-serif;\"\u003e\u003csup\u003ei\u003c\/sup\u003e This feature requires implementation by software applications, and it is not a stand-alone utility. Please contact quadrohelp@nvidia.com for details on availability.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003chr class=\"CZMLKuuj\" style=\"border-top-color: rgb(223, 223, 223); box-sizing: content-box; margin: 48px 0px; font-family: Arial, Helvetica, sans-serif; font-size: 14px; text-align: center;\"\u003e\n\u003ch2 class=\"_2ue22Jnr\" style=\"box-sizing: border-box; margin: 0px; font-size: 2rem; font-family: Arial, Helvetica, sans-serif; text-align: center;\"\u003e\u003cimg alt=\"Leadtek NVIDIA RTX A2000 12GB Professional Video Card - Desktop Overview 2\" class=\"_3QrbAQ8L\" src=\"https:\/\/www.mwave.com.au\/images\/400\/leadtek_nvidia_rtx_a2000_6gb_professional_video_card_ac47567_5.jpg\" style=\"box-sizing: border-box; max-width: 800px; margin: 32px auto 0px; font-size: 14px;\"\u003e\u003c\/h2\u003e\n\n\u003ch3 style=\"text-align: center;\"\u003e\u003cspan style=\"font-size:18px;\"\u003e\u003cspan style=\"font-family:verdana,geneva,sans-serif;\"\u003e\u003cstrong\u003eDisplay Features\u003c\/strong\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/h3\u003e\n\n\u003ch4 style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"font-size:16px;\"\u003e\u003cspan style=\"font-family:verdana,geneva,sans-serif;\"\u003eNVIDIA® Quadro® Mosaic Technology\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/h4\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"font-size:14px;\"\u003e\u003cspan style=\"font-family:verdana,geneva,sans-serif;\"\u003eTransparently scale the desktop and applications across up to 4 GPUs and 16 displays from a single workstation while delivering full performance and image quality.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"font-size: 16px;\"\u003e\u003cspan style=\"font-family: verdana, geneva, sans-serif;\"\u003eDisplayPort 1.4a\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"font-size: 14px;\"\u003e\u003cspan style=\"font-family: verdana, geneva, sans-serif;\"\u003eSupport up to four 5K monitors @ 60Hz, or dual 8K displays @ 60Hz per card. The RTX A2000 series GPUs support HDR colour for 4K @ 60Hz for 10\/12b HEVC decode and up to 4K @ 60Hz for 10b HEVC encode. Each DisplayPort connector can drive ultra-high resolutions of 4096x2160 @ 120 Hz with 30-bit colour.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"font-size: 16px;\"\u003e\u003cspan style=\"font-family: verdana, geneva, sans-serif;\"\u003eNVIDIA® RTX™ Desktop Manager\u003csup\u003eii\u003c\/sup\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"font-size: 14px;\"\u003e\u003cspan style=\"font-family: verdana, geneva, sans-serif;\"\u003eGain unprecedented end-user control of the desktop experience for increased productivity in a single large display or multi-display environment, especially in the current age of large, widescreen displays.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"font-size: 16px;\"\u003e\u003cspan style=\"font-family: verdana, geneva, sans-serif;\"\u003eOpenGL Quad Buffered Stereo Support\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"font-size: 14px;\"\u003e\u003cspan style=\"font-family: verdana, geneva, sans-serif;\"\u003eProvide a smooth and immersive 3D Stereo experience for professional applications.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"font-size: 16px;\"\u003e\u003cspan style=\"font-family: verdana, geneva, sans-serif;\"\u003eUltra-High-Resolution Desktop Support\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"font-size: 14px;\"\u003e\u003cspan style=\"font-family: verdana, geneva, sans-serif;\"\u003eGet more Mosaic topology choices with high-resolution displays devices with a 32K Max desktop size.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"font-size: 16px;\"\u003e\u003cspan style=\"font-family: verdana, geneva, sans-serif;\"\u003eProfessional 3D Stereo Synchronisation\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"font-size: 14px;\"\u003e\u003cspan style=\"font-family: verdana, geneva, sans-serif;\"\u003eRobust control of stereo effects through a dedicated connection to directly synchronise 3D stereo hardware to an NVIDIA RTX professional graphics card.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003csup style=\"font-family: verdana, geneva, sans-serif;\"\u003eii\u003c\/sup\u003e\u003cspan style=\"font-family: verdana, geneva, sans-serif; font-size: 12px;\"\u003e Product formerly known as NVIDIA Quadro View has undergone a brand transition.\u003c\/span\u003e\u003c\/p\u003e\n\n\u003chr class=\"CZMLKuuj\" style=\"border-top-color: rgb(223, 223, 223); box-sizing: content-box; margin: 48px 0px; font-family: Arial, Helvetica, sans-serif; font-size: 14px; text-align: center;\"\u003e\n\u003ch3 style=\"text-align: center;\"\u003e\u003cspan style=\"font-size: 18px;\"\u003e\u003cspan style=\"font-family: verdana, geneva, sans-serif;\"\u003e\u003cstrong\u003eSoftware Support\u003c\/strong\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/h3\u003e\n\n\u003ch4 style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"font-size: 16px;\"\u003e\u003cspan style=\"font-family: verdana, geneva, sans-serif;\"\u003eNNVIDIA® RTX™ Experience\u003csup\u003eiii\u003c\/sup\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/h4\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"font-size: 14px;\"\u003e\u003cspan style=\"font-family: verdana, geneva, sans-serif;\"\u003eNVIDIA RTX Experience delivers a suite of productivity tools to your desktop workstation, including desktop recording in up to 8K, automatic alerts for the latest NVIDIA RTX Enterprise driver updates, and access gaming features. The application is available for download \u003ca href=\"https:\/\/www.nvidia.com\/en-us\/design-visualization\/software\/quadro-experience\/\" target=\"_blank\"\u003ehere\u003c\/a\u003e.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"font-size: 16px;\"\u003e\u003cspan style=\"font-family: verdana, geneva, sans-serif;\"\u003eSoftware Optimised for AI\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"font-size: 14px;\"\u003e\u003cspan style=\"font-family: verdana, geneva, sans-serif;\"\u003eDeep learning frameworks such as Caffe2, MXNet, CNTK, TensorFlow, and others deliver dramatically faster training times and higher multi-node training performance. GPU accelerated libraries such as cuDNN, cuBLAS, and TensorRT deliver higher performance for deep learning inference and High-Performance Computing (HPC) applications.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"font-size: 16px;\"\u003e\u003cspan style=\"font-family: verdana, geneva, sans-serif;\"\u003eNVIDIA® CUDA® Parallel Computing Platform\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"font-size: 14px;\"\u003e\u003cspan style=\"font-family: verdana, geneva, sans-serif;\"\u003eNatively execute standard programming languages like C\/C++ and Fortran and APIs such as OpenCL, OpenACC and Direct Compute to accelerate techniques such as ray tracing, video and image processing, and computation fluid dynamics.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"font-size: 16px;\"\u003e\u003cspan style=\"font-family: verdana, geneva, sans-serif;\"\u003eUnified Memory\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"font-size: 14px;\"\u003e\u003cspan style=\"font-family: verdana, geneva, sans-serif;\"\u003eA single, seamless 49-bit virtual address space allows for the transparent migration of data between the full allocation of CPU and GPU memory.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"font-size: 16px;\"\u003e\u003cspan style=\"font-family: verdana, geneva, sans-serif;\"\u003eNVIDIA Enterprise-Management Tools\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"font-size: 14px;\"\u003e\u003cspan style=\"font-family: verdana, geneva, sans-serif;\"\u003eMaximise system uptime, seamlessly manage wide-scale deployments and remotely control graphics and display settings for efficient operations.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"font-size:12px;\"\u003e\u003cspan style=\"font-family:verdana,geneva,sans-serif;\"\u003e\u003csup\u003eiii\u003c\/sup\u003e Product formerly known as NVIDIA Quadro Experience, rebrand effective 4\/26\/2021.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\u003chr class=\"CZMLKuuj\" style=\"border-top-color: rgb(223, 223, 223); box-sizing: content-box; margin: 48px 0px; font-family: Arial, Helvetica, sans-serif; font-size: 14px; text-align: center;\"\u003e\n\u003ch2 class=\"_2ue22Jnr\" style=\"box-sizing: border-box; margin: 0px; font-size: 2rem; font-family: Arial, Helvetica, sans-serif; text-align: center;\"\u003e\u003cimg alt=\"Leadtek NVIDIA RTX A2000 12GB Professional Video Card - Desktop Overview 3\" class=\"_3QrbAQ8L\" src=\"https:\/\/www.mwave.com.au\/images\/400\/leadtek_nvidia_rtx_a2000_12gb_professional_video_card_ac51492_4.jpg\" style=\"box-sizing: border-box; max-width: 800px; margin: 32px auto 0px; font-size: 14px;\"\u003e\u003c\/h2\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":47995372404867,"sku":"AC51492","price":899.0,"currency_code":"AUD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0708\/6633\/7923\/files\/leadtek_nvidia_rtx_a2000_12gb_professional_video_card_ac51492.jpg?v=1787797929"},{"product_id":"nvidia-rtx-pro-4000-sff-blackwell-24gb-professional-video-card-ac86468","title":"NVIDIA RTX PRO 4000 SFF Blackwell 24GB Professional Video Card","description":"\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_rtx_pro_4000_sff_blackwell_24gb_professional_video_card_ac86468_36842.jpg\"\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":47995372437635,"sku":"AC86468","price":4799.0,"currency_code":"AUD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0708\/6633\/7923\/files\/nvidia_rtx_pro_4000_sff_blackwell_24gb_professional_video_card_ac86468_21187.jpg?v=1787786714"},{"product_id":"nvidia-rtx-pro-5000-blackwell-48gb-professional-video-card-ac86470","title":"NVIDIA RTX PRO 5000 Blackwell 48GB Professional Video Card","description":"\u003cp\u003e\u003cimg alt=\"NVIDIA RTX PRO 5000 Blackwell 48GB Professional Video Card\" src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_rtx_pro_5000_blackwell_48gb_professional_video_card_ac86470_9082.jpg\" style=\"width:1229px;max-width:100%;max-height:2802px;\"\u003e\u003c\/p\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":47995372470403,"sku":"AC86470","price":12999.0,"currency_code":"AUD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0708\/6633\/7923\/files\/nvidia_rtx_pro_5000_blackwell_48gb_professional_video_card_ac86470_87795.jpg?v=1787746934"},{"product_id":"nvidia-rtx-pro-6000-blackwell-maxq-96gb-professional-video-card-ac86471","title":"NVIDIA RTX PRO 6000 Blackwell Max-Q 96GB Professional Video Card","description":"\u003cp\u003e\u003cimg alt=\"NVIDIA RTX PRO 6000 Blackwell Max-Q 96GB Professional Video Card\" src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_rtx_pro_6000_blackwell_maxq_96gb_professional_video_card_ac86471_48550.jpg\" style=\"width:1229px;max-width:100%;max-height:2927px;\"\u003e\u003c\/p\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":47995372503171,"sku":"AC86471","price":24999.0,"currency_code":"AUD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0708\/6633\/7923\/files\/nvidia_rtx_pro_6000_blackwell_maxq_96gb_professional_video_card_ac86471_49229.jpg?v=1787797931"},{"product_id":"nvidia-rtx-pro-5000-blackwell-72gb-professional-video-card-ac96146","title":"NVIDIA RTX PRO 5000 Blackwell 72GB Professional Video Card","description":"\u003cp\u003e\u003cimg alt=\"NVIDIA RTX PRO 5000 Blackwell 72GB Professional Video Card\" src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_rtx_pro_5000_blackwell_72gb_professional_video_card_ac96146_48673.jpg\" style=\"width:1229px;max-width:100%;max-height:1554px;\"\u003e\u003c\/p\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":47995372535939,"sku":"AC96146","price":14999.0,"currency_code":"AUD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0708\/6633\/7923\/files\/nvidia_rtx_pro_5000_blackwell_72gb_professional_video_card_ac96146_94201.jpg?v=1787797932"},{"product_id":"nvidia-rtx-pro-4500-blackwell-32gb-professional-video-card-ac86469","title":"NVIDIA RTX PRO 4500 Blackwell 32GB Professional Video Card","description":"\u003cp\u003e\u003cimg alt=\"NVIDIA RTX PRO 4500 Blackwell 32GB Professional Video Card\" src=\"https:\/\/cdn.mwave.com.au\/images\/400\/nvidia_rtx_pro_4500_blackwell_32gb_professional_video_card_ac86469_91852.jpg\" style=\"width:1229px;max-width:100%;max-height:2729px;\"\u003e\u003c\/p\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":47995372568707,"sku":"AC86469","price":7499.0,"currency_code":"AUD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0708\/6633\/7923\/files\/nvidia_rtx_pro_4500_blackwell_32gb_professional_video_card_ac86469_10173.jpg?v=1787797930"},{"product_id":"nvidia-rtx-pro-4000-blackwell-24gb-professional-video-card-ac86467","title":"NVIDIA RTX PRO 4000 Blackwell 24GB Professional Video Card","description":"\u003cp\u003eNVIDIA RTX PRO 4000 Blackwell 24GB Professional Video Card - Memory Size: 24 GB - Memory Type: GDDR7 - Memory Bus: 192-bit - CUDA Cores (NVIDIA Cards) OR Stream Processors (AMD Cards): 8960 Units - Memory Speed: N\/A - Cooling: N\/A - Interface: PCI Express 5.0 x16 - Power Connectors: 1x PCIe CEM5 16-pin - I\/O: DisplayPort 2.1 (4) - Recommended PSU: 140 W - Form Factor: 4.4 H x 9.5 L, FHML Single Slot - 900-5G147-2570-000\u003c\/p\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":47995994898563,"sku":"174276","price":4799.0,"currency_code":"AUD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0708\/6633\/7923\/files\/nvidia_rtx_pro_4000_blackwell_24gb_professional_video_card_ac86467_38130.jpg?v=1787800612"},{"product_id":"nvidia-rtx-pro-2000-blackwell-16gb-professional-video-card-ac86466","title":"NVIDIA RTX PRO 2000 Blackwell 16GB Professional Video Card","description":"\u003cp\u003eNVIDIA RTX PRO 2000 Blackwell 16GB Professional Video Card - Process Size: 4nm NVIDIA Custom Process - Transistors: 21.9 Billion - Die Size: 181 mm2 - CUDA Parallel Processing Cores: 4352 - NVIDIA Tensor Cores: 136 - GPU Memory: 16 GB GDDR7 with ECC - Memory Interface: 128-bit - Memory Bandwidth: 288 GB\/sec - Graphics Bus: PCI Express 5.0 x83 - Display Connectors: mDP 2.1b (4)3 - 900-5G195-2551-000\u003c\/p\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":47995994865795,"sku":"174277","price":2499.0,"currency_code":"AUD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0708\/6633\/7923\/files\/nvidia_rtx_pro_2000_blackwell_16gb_professional_video_card_ac86466_90142.jpg?v=1787748860"},{"product_id":"nvidia-rtx-pro-6000-blackwell-96gb-professional-video-card-workstation-edition-ac86472","title":"NVIDIA RTX PRO 6000 Blackwell 96GB Professional Video Card - Workstation Edition","description":"\u003cp\u003eNVIDIA RTX PRO 6000 Blackwell 96GB Professional Video Card - Workstation Edition - Memory Size: 96 GB - Memory Type: GDDR7 - Memory Bus: 512-bit - CUDA Cores (NVIDIA Cards) OR Stream Processors (AMD Cards): 24,064 Units - Memory Speed: 1792 GB\/s - Cooling: N\/A - Interface: PCI Express 5.0 x16 - Power Connectors: 1x PCIe CEM5 16-pin - I\/O: DisplayPort 2.1 (4) - Recommended PSU: 600 W - Form Factor: 5.4 H x 12 L, XHFL Dual Slot - 900-5G144-2500-000\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":47995995029635,"sku":"174275","price":18499.0,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0708\/6633\/7923\/files\/nvidia_rtx_pro_6000_blackwell_96gb_professional_video_card_workstation_edition_ac86472_75110.jpg?v=1787800619"},{"product_id":"nvidia-shield-tv-pro-tegra-x1-16gb-4k-streaming-media-player-with-remote-ac32662","title":"NVIDIA Shield TV Pro Tegra X1+ 16GB 4K Streaming Media Player with Remote","description":"\u003cp\u003eNVIDIA Shield TV Pro Tegra X1+ 16GB 4K Streaming Media Player with Remote - Processor: NVIDIA Tegra X1+ processor with a 256-core NVIDIA GPU and 3 GB RAM - Video: 4K HDR Ready, Dolby Vision HDR and HDR10 - Storage: 16GB - Network: 802.11ac 2x2 MIMO 2.4 GHz and 5 GHz Wi-Fi, Bluetooth 5.0 - Interface: 1x Gigabit Ethernet, 1x HDMI 2.0b, 2x USB3.0- OS: Android 9.0 (Pie) powered by Android TV with Chromecast 4K built-in - Includes remote - 945-12897-2506-101 - 12 Months Limited Warranty\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":47995995062403,"sku":"158954","price":377.95,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0708\/6633\/7923\/files\/nvidia_shield_tv_pro_tegra_x1_16gb_4k_streaming_media_player_with_remote_ac32662_2.jpg?v=1787800610"},{"product_id":"nvidia-shield-tv-tegra-x1-8gb-4k-streaming-media-player-with-remote-ac32661","title":"NVIDIA Shield TV Tegra X1+ 8GB 4K Streaming Media Player with Remote","description":"\u003cp\u003eNVIDIA Shield TV Tegra X1+ 8GB 4K Streaming Media Player with Remote - Processor: NVIDIA Tegra X1+ processor with a 256-core NVIDIA GPU and 2 GB RAM - Video: 4K HDR Ready, Dolby Vision HDR and HDR10 - Storage: 8GB - Network: 802.11ac 2x2 MIMO 2.4 GHz and 5 GHz Wi-Fi, Bluetooth 5.0 - Interface: 1x Gigabit Ethernet, 1x HDMI 2.0b, 1x MicroSD - OS: Android 11 (Pie) powered by Android TV with Chromecast 4K built-in - Includes remote - 945-13430-2512-000 - 12 Months Limited Warranty\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":47995995226243,"sku":"158955","price":287.95,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0708\/6633\/7923\/files\/nvidia_shield_tv_tegra_x1_8gb_4k_streaming_media_player_with_remote_ac32661_2.jpg?v=1787800609"}],"url":"https:\/\/www.mwave.com.au\/collections\/nvidia.oembed","provider":"Mwave","version":"1.0","type":"link"}