{"title":"NVIDIA Datacentre GPUs","description":null,"products":[{"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-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-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"}],"url":"https:\/\/www.mwave.com.au\/collections\/nvidia-datacentre-gpus.oembed","provider":"Mwave","version":"1.0","type":"link"}