{"title":"Nvidia","description":null,"products":[{"product_id":"489-bbco","title":"NVIDIA Tesla P40 24GB x16  PCI-e 250W DW GPU Accelerator","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e \u003cul class=\"margin-empty margin-bottom\"\u003e\n\u003cli\u003eGPU 1 NVIDIA Pascal GPU\u003c\/li\u003e\n\u003cli\u003eCUDA Cores 3,840\u003c\/li\u003e\n\u003cli\u003eMemory Size 24 GB GDDR5\u003c\/li\u003e\n\u003cli\u003eH.264 1080p30 streams 24\u003c\/li\u003e\n\u003cli\u003eMax vGPU instances 24 (1 GB Profile)\u003c\/li\u003e\n\u003cli\u003evGPU Profiles 1 GB, 2 GB, 3 GB, 4 GB, 6 GB, 8 GB, 12 GB, 24 GB\u003c\/li\u003e\n\u003cli\u003eForm Factor PCIe 3.0 Dual Slot (rack servers)\u003c\/li\u003e\n\u003cli\u003ePower 250 W\u003c\/li\u003e\n\u003cli\u003eThermal Passive\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003cp\u003eNVIDIA redefined visual computing by giving designers, engineers, scientists, and graphic artists the power to take on the biggest visualization challenges with immersive, interactive, photorealistic environments. NVIDIA ® Quadro ® Virtual Data Center Workstation (Quadro vDWS) takes advantage of NVIDIA ® Tesla ® GPUs to deliver virtual workstations from the data center. Architects, engineers, and designers are now liberated from their desks and can access applications and data anywhere. The NVIDIA ® Tesla ® P40 GPU accelerator works with NVIDIA Quadro vDWS software and is the first system to combine an enterprise-grade visual computing platform for simulation, HPC rendering, and design with virtual applications, desktops, and workstations. This gives organizations the freedom to virtualize both complex visualization and compute (CUDA and OpenCL) workloads. \u003c\/p\u003e\n\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":32299539759189,"sku":"NVIDIA-P40","price":0.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/nvidia-tesla-P40.jpg?v=1673643327"},{"product_id":"489-bbdr","title":"NVIDIA Tesla V100 300w 16GB PCI-e GPU Accelerator","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e \u003cp\u003e The NVIDIA Tesla V100 300W 16GB PCI-e GPU Accelerator is a powerful graphics processing unit designed for high-performance computing applications. Featuring the Volta architecture, this GPU is optimized for deep learning and artificial intelligence workloads, offering up to 125 teraflops of peak performance for deep learning training and 15.7 teraflops for double-precision floating-point operations. With 5,120 CUDA cores and 16GB of HBM2 memory with a bandwidth of 900GB\/s, the Tesla V100 delivers lightning-fast performance for the most demanding computational workloads. \u003c\/p\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":32299540349013,"sku":"489-BBDR","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/nvidia-tesla-v100.jpg?v=1673643531"},{"product_id":"nvidia-tesla-k40-smx-gpu-accelerator","title":"NVIDIA Tesla K40 12GB GPU Accelerator","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eNVIDIA GPU Boost™\u003c\/b\u003e: \u003cbr\u003eOn-demand performance boost to attain up to 25% additional application speedup\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eStreaming Multiprocessor (SMX)\u003c\/b\u003e: \u003cbr\u003ePerform 3X the workload with the same power budget.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eNVIDIA Kepler™ Architecture\u003c\/b\u003e: \u003cbr\u003eAccelerate all your applications with the world’s fastest, most efficient HPC architecture.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eECC Memory\u003c\/b\u003e: \u003cbr\u003eAddress a critical requirement for computing accuracy and reliability in supercomputing and data centers.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eSystem Monitoring Features\u003c\/b\u003e: \u003cbr\u003eManage GPU processors in computing systems using widely used cluster\/ grid-management solutions.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003cp\u003eCount on NVIDIA Tesla K40 GPU Accelerators to solve your most demanding HPC and big data challenges. They feature 1.4 TFLOPS performance, 12 GB memory, and ultra-fast 288 GB\/s throughputs, giving you the power to process large datasets while delivering up to10X acceleration compared to CPUs.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":44189402497336,"sku":"NVIDIA-K40","price":0.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/K40.jpg?v=1670458998"},{"product_id":"nvidia-tesla-k80-24gb-gpu-accelerator","title":"NVIDIA Tesla K80 24GB GPU Accelerator","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n  \u003cp\u003eAccelerate your most demanding high-performance data analytics and scientific computing applications with the NVIDIA Tesla Accelerated-Computing Platform.\u003c\/p\u003e\n\u003chr\u003eTesla GPU Accelerators are built on the NVIDIA Kepler™ compute architecture and powered by CUDA,® the world’s most pervasive parallel computing model. This makes them ideal for delivering record acceleration and compute performance efficiency for applications in fields including: \u0026gt;\u003chr\u003e\n\u003cul\u003e\n\u003cli\u003eMachine Learning and Data Analytics \u0026gt;\u003c\/li\u003e\n\u003cli\u003eSeismic Processing \u0026gt; Computational Biology and Chemistry \u0026gt;\u003c\/li\u003e\n\u003cli\u003eWeather and Climate Modeling \u0026gt;\u003c\/li\u003e\n\u003cli\u003eImage, Video, and Signal Processing \u0026gt;\u003c\/li\u003e\n\u003cli\u003eComputational Finance\/Physics \u0026gt;\u003c\/li\u003e\n\u003cli\u003eCAE and CFD\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003cp\u003eThis accelerator is designed for the most demanding computational tasks, combining 24 GB of memory with blazing-fast memory bandwidth and leading compute performance for single and double precision workloads. Equipped with the latest NVIDIA GPU Boost™ technology, the Tesla K80 intelligently monitors GPU usage to maximize throughput1 and outperforms CPUs by up to 10x.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":44189403185464,"sku":"NVIDIA-K80","price":0.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/K80.jpg?v=1670459321"},{"product_id":"copy-of-nvidia-tesla-k80-smx-gpu-accelerator","title":"NVIDIA Tesla M60 16GB x8 PCI-e 300W DW GPU","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e \n\u003cul class=\"margin-empty margin-bottom\"\u003e\n\u003cli\u003eVirtualization Use Case Performance-Optimized Graphics Virtualization\u003c\/li\u003e\n\u003cli\u003eGPU Architecture NVIDIA Maxwell ™\u003c\/li\u003e\n\u003cli\u003eGPUs per Board 2\u003c\/li\u003e\n\u003cli\u003eMax User per Board 32 (16 per GPU)\u003c\/li\u003e\n\u003cli\u003eNVIDIA CUDA ® Cores 4096 NVIDIA CUDA Cores (2048 per GPU)\u003c\/li\u003e\n\u003cli\u003eGPU Memory 16 GB of GDDR5 Memory (8 per GPU)\u003c\/li\u003e\n\u003cli\u003eH.264 1080p30 streams 36\u003c\/li\u003e\n\u003cli\u003eMax Power Consumption 300 W\u003c\/li\u003e\n\u003cli\u003eThermal Solution Active\/Passive\u003c\/li\u003e\n\u003cli\u003eForm Factor PCIe 3.0 Dual Slot\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003cp\u003eNVIDIA redefined visual computing by giving designers, engineers, scientists, and graphics artists the power to take on the biggest visualization challenges with immersive, interactive, photorealistic environments. Leveraging NVIDIA Tesla GPUs, NVIDIA GRID ™ delivers virtual workstations from the data center or cloud. Architects, engineers, and designers are now liberated from their desk and can access their applications and data anywhere.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":44189408264504,"sku":"NVIDIA-M60","price":95.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/files\/dell-nvidia-m60-Vwyhn---1.png?v=1754511024"},{"product_id":"nvidia-tesla-m40-pcie-gpu-accelerator","title":"NVIDIA Tesla M40 24GB PCI-e 3.0X16 GPU Accelerator","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e \u003cul\u003e\n\u003cli\u003eNVIDIA GPU Boost™ delivering up to 7 Teraflops of single-precision performance\u003c\/li\u003e\n\u003cli\u003e24 GB of GDDR5 memory for training large deep learning models\u003c\/li\u003e\n\u003cli\u003eServer-qualified to deliver maximum uptime in the data center\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003cp\u003eDeep learning is redefining what’s possible, from image recognition and natural language processing to neural machine translation and image classification. From early-stage startups to large web service providers, deep learning has become the fundamental building block in delivering amazing solutions for end users. \u003cbr\u003e\u003cbr\u003eDeep learning models typically take days to weeks to train, forcing scientists to make compromises between accuracy and time to deployment. The NVIDIA Tesla M40 GPU accelerator, based on the ultra-efficient NVIDIA Maxwell™ architecture, is designed to deliver the highest single precision performance. Together with its high memory density, this makes the Tesla M40 the world’s fastest accelerator for deep learning training.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":44189418029368,"sku":"NVIDIA-M40","price":0.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/M40.jpg?v=1670459723"},{"product_id":"copy-of-nvidia-tesla-m40-24gb-pcie-3-0x16-gpu-accelerator","title":"NVIDIA Tesla P100 16GB SMX2 Accelerator GPU","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n  \u003cp\u003eArtificial intelligence for self-driving cars. Predicting our climate’s future. A new drug to treat cancer. The world’s most important challenges require tremendous amounts of computing to become reality. But today’s data centers rely on many interconnected commodity compute nodes, limiting the performance needed to drive important HPC and hyperscale workloads. \u003cbr\u003e\n  \u003cbr\u003eThe NVIDIA Tesla P100 is the most advanced data center accelerator ever built, leveraging the groundbreaking NVIDIA Pascal™ GPU architecture to deliver the world’s fastest compute node. It’s powered by four innovative technologies with huge jumps in performance for HPC and deep learning workloads. \u003cbr\u003e\n  \u003cbr\u003eThe Tesla P100 also features NVIDIA NVLink™ technology that enables superior b-scaling performance for HPC and hyperscale applications. Up to eight Tesla P100 GPUs interconnected in a single node can deliver the performance of racks of commodity CPU servers.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":44189419569464,"sku":"NVIDIA-P100-SMX2-16GB","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/P100-SMX2.jpg?v=1670460141"},{"product_id":"copy-of-nvidia-tesla-p100-16gb-smx2-gpu-accelerator","title":"NVIDIA Tesla P100 16GB GPU","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e \u003cp\u003eThe Tesla P100 for PCIe is a game-changing graphics processing unit (GPU) accelerator that boosts throughput while saving costs in mixed-workload high-performance computing (HPC) data centers. With this GPU, a single node powered by four interconnected Tesla P100s replaces up to 32 commodity CPU nodes, providing up to 70% savings in data center costs.\u003c\/p\u003e\n\u003cp\u003eThis GPU is crafted with innovation at every level and reimagined from silicon to software, delivering groundbreaking technology that provides the world's fastest compute node. It features NVIDIA Pascal architecture, 3584 CUDA cores, and up to 18.7 teraflops of half-precision performance, 9.3 teraflops of single-precision performance, and 4.7 teraflops of double-precision performance. The GPU memory options include 16GB or 12GB CoWoS HBM2 with data transfer rates of 732 GB\/s or 549 GB\/s, respectively.\u003c\/p\u003e\n\u003chr\u003e\n\u003cb\u003eSPECIFICATIONS \u003c\/b\u003e\n\n\u003cul\u003e\n\u003cli\u003eGPU Architecture NVIDIA Pascal\u003c\/li\u003e\n\u003cli\u003eNVIDIA CUDA ® Cores 3584\u003c\/li\u003e\n\u003cli\u003eDouble-Precision Performance 4.7 TeraFLOPS\u003c\/li\u003e\n\u003cli\u003eSingle-Precision Performance 9.3 TeraFLOPS\u003c\/li\u003e\n\u003cli\u003eHalf-Precision Performance 18.7 TeraFLOPS\u003c\/li\u003e\n\u003cli\u003eGPU Memory \u003cbr\u003e16GB CoWoS HBM2 at 732 GB\/s or\u003cbr\u003e12GB CoWoS HBM2 at 549 GB\/s\u003c\/li\u003e\n\u003cli\u003eSystem Interface PCIe Gen3\u003c\/li\u003e\n\u003cli\u003eMax Power Consumption 250 W\u003c\/li\u003e\n\u003cli\u003eECC Yes\u003c\/li\u003e\n\u003cli\u003eThermal Solution Passive\u003c\/li\u003e\n\u003cli\u003eForm Factor PCIe Full Height\/Length\u003c\/li\u003e\n\u003cli\u003eCompute APIs CUDA, DirectCompute, OpenCL ™ , OpenACC\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":44189447881016,"sku":"NVIDIA-P100-PCIE-16GB","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/P100-PCIE.jpg?v=1670460216"},{"product_id":"nvidia-tesla-p100-12gb-pci-e-gpu-accelerator","title":"NVIDIA Tesla P100 12GB 250W GPU","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cp\u003eThe NVIDIA Tesla P100 for PCIe is an advanced GPU accelerator designed to boost throughput and save money for high-performance computing (HPC) and hyperscale data centers. Powered by the breakthrough NVIDIA Pascal architecture, this GPU is reimagined from silicon to software, crafted with innovation at every level, delivering a dramatic jump in performance to inspire the creation of the world's fastest compute node.\u003c\/p\u003e\n\u003cp\u003eThis GPU is ideal for mixed-workload HPC data centers looking to achieve a significant increase in throughput while saving costs. With a single GPU-accelerated node powered by four Tesla P100s interconnected with PCIe, it can replace up to 32 commodity CPU nodes, allowing customers to save up to 70 percent in overall data center costs.\u003c\/p\u003e\n\u003cp\u003eThe Tesla P100 features NVIDIA CUDA Cores, delivering high double-precision, single-precision, and half-precision performance. 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Powered by NVIDIA Volta, the latest GPU architecture, Tesla V100 offers the performance of up to 100 CPUs in a single GPU—enabling data scientists, researchers, and engineers to tackle challenges that were once thought impossible. \u003c\/p\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":44373429682488,"sku":"nvidia-v100-32gb-pcie","price":0.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/nvidia-tesla-v100_f6a5c766-8f4b-4b02-ba34-15d0471e5f75.jpg?v=1673643816"},{"product_id":"dell-nvidia-tesla-v100-32gb-smx2-gpu-accelerator","title":"NVIDIA Tesla V100 32GB SMX2 GPU Accelerator","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e \u003cp\u003eNVIDIA Tesla V100 32GB SMX2 GPU Accelerator\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":44373499052344,"sku":"nvidia-v100-32gb-smx2","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/nvidia-tesla-v100-SMX2.jpg?v=1673644574"},{"product_id":"dell-nvidia-tesla-v100-16gb-smx2-gpu-accelerator","title":"NVIDIA Tesla V100 16GB SMX2 GPU Accelerator","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cp\u003eNVIDIA Tesla V100 16GB SMX2 GPU Accelerator\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":44373502394680,"sku":"nvidia-v100-16gb-smx2","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/nvidia-tesla-v100-SMX2_276e01cb-1a2e-4988-95db-5299211a30dc.jpg?v=1673644620"},{"product_id":"nvidia-nvlink-bridge-for-a100-a40-gpu","title":"Nvidia NVLINK Dual GPU Bridge for Ampere A40, A100, A6000 GPUs","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e \u003cp\u003eNvidia Dual GPU NVLINK Bridge for A100, A6000 \u0026amp; A40 GPU's.\u003c\/p\u003e\n\u003cp\u003ePlease select (3) to install on the A100, A6000 or A40.\u003c\/p\u003e\n\u003cp\u003eIf you're installing this in a R750xa, you will also need a NVLINK Sponge to separate that drive cage from the GPU Risers.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":44447985729848,"sku":null,"price":295.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/nvlink-bridge-a100-a40.jpg?v=1674840849"},{"product_id":"nvidia-tesla-v100s-32gb-pci-e-gpu-accelerator","title":"NVIDIA Tesla V100S 250w 32GB x8 PCI-e DW FH\/FL GPU Accelerator","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cp\u003eThe Tesla V100S PCIe 32 GB was a professional graphics card by NVIDIA, launched on November 26th, 2019. Built on the 12 nm process, and based on the GV100 graphics processor, the card supports DirectX 12. The GV100 graphics processor is a large chip with a die area of 815 mm² and 21,100 million transistors. It features 5120 shading units, 320 texture mapping units, and 128 ROPs. Also included are 640 tensor cores which help improve the speed of machine learning applications. NVIDIA has paired 32 GB HBM2 memory with the Tesla V100S PCIe 32 GB, which are connected using a 4096-bit memory interface. The GPU is operating at a frequency of 1245 MHz, which can be boosted up to 1597 MHz, memory is running at 1107 MHz.\u003c\/p\u003e\n\u003chr\u003e\n\u003cp\u003eBeing a dual-slot card, the NVIDIA Tesla V100S PCIe 32 GB draws power from 2x 8-pin power connectors, with power draw rated at 250 W maximum. This device has no display connectivity, as it is not designed to have monitors connected to it. Tesla V100S PCIe 32 GB is connected to the rest of the system using a PCI-Express 3.0 x16 interface.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":44468240384312,"sku":"nvidia-v100s-32gb-pcie","price":0.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/nvidia-tesla-v100_b54fc5b4-9253-4fa9-9e8a-3ebdc9006080.jpg?v=1675188938"},{"product_id":"nvidia-rtx-5000-16gb-pci-e-gpu-fh-vcqrtx5000-pb","title":"Nvidia Rtx 5000 16GB x16  PCI-e DW GPU FH | VCQRTX5000-PB","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e \u003cp\u003e The NVIDIA RTX 5000 is a powerful graphics processing unit (GPU) designed for use in demanding professional applications, including 3D modeling, simulation, and rendering. With 16GB of high-speed GDDR6 memory and 3,072 CUDA cores, this GPU delivers outstanding performance for graphics-intensive tasks. \u003c\/p\u003e \u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":44477257154872,"sku":"VCQRTX5000-PB","price":0.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/nvidia-rtx-5000.jpg?v=1675272160"},{"product_id":"nvidia-rtx-8000-48gb-x16-pci-e-dw-gpu-fh","title":"Nvidia Rtx 8000 48GB x16  PCI-e DW GPU FH | P11095-001","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e \u003cp\u003eNVIDIA RTX 8000 48GB x16 PCI-e DW GPU FH | P11095-001\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":44477415424312,"sku":"P11095-001","price":0.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/nvidia-rtx-8000.jpg?v=1675272424"},{"product_id":"nvidia-quadro-p4000-8gb-pcie-3-0x16-gpu-accelerator","title":"NVIDIA Quadro P4000 8GB 105w GPU Accelerator","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e \n  \u003cp\u003eThe NVIDIA Quadro P4000 combines a 1792 CUDA core Pascal GPU, large 8 GB GDDR5 memory and advanced display technologies to deliver the performance and features that are required by demanding professional applications. The ability to create an expansive visual workspace of up to four 5K displays (5120x2880 @ 60Hz) with HDR color support lets you view your creations in stunning detail. The P4000 is specially designed with the performance that is necessary to drive immersive VR environments. Additionally, you can create massive digital signage solutions of up to thirty two 4K displays per system by connecting multiple P4000s via Quadro Sync II2 .\u003c\/p\u003e\n\u003cp\u003eQuadro cards are certified with a broad range of sophisticated professional applications, tested by leading workstation manufacturers, and backed by a global team of support specialists. This gives you the peace of mind to focus on doing your best work. Whether you’re developing revolutionary products or telling spectacularly vivid visual stories, Quadro gives you the performance to do it brilliantly\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":44552645935416,"sku":null,"price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/nvidia-quadro-p4000.jpg?v=1676407253"},{"product_id":"nvidia-a40-48gb-x16-pci-e-300w-dw-fh-hl-gpu","title":"NVIDIA A40 48GB x16  PCI-e 300W DW FH\/HL GPU","description":"\u003cdiv class=\"product-section container jc-between-center is-flex-column\"\u003e\n  \u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003chr\u003e\n\u003cul class=\"margin-empty margin-bottom\"\u003e\n\u003cli\u003e\n\u003cb\u003eModel\u003c\/b\u003e: A40 \u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eGPU Memory\u003c\/b\u003e: 48 GB GDDR6 \u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMemory ECC\u003c\/b\u003e: Y \u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMemory Bandwidth\u003c\/b\u003e: 696 GB\/sec \u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMax Power Consumption\u003c\/b\u003e: 300W \u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eGraphic Bus \/ System Interface\u003c\/b\u003e: PCIe Gen4x16\/ NVLink bridge \u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eInterconnect Bandwidth\u003c\/b\u003e: 64 GB\/sec (PCIe 4.0) \u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eSlot Width\u003c\/b\u003e: DW \u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eGPU Height \/ Length\u003c\/b\u003e: FHFL \u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eAuxiliary Cable\u003c\/b\u003e: CPU 8 pin \u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eWorkload\u003c\/b\u003e: Performance graphics\/VDI \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003cp\u003eThe NVIDIA A40 GPU is an evolutionary leap in performance and multi-workload capabilities from the data center, combining best-in-class professional graphics with powerful compute and AI acceleration to meet today’s design, creative, and scientific challenges. Driving the next generation of virtual workstations and server-based workloads, NVIDIA A40 brings state-of-the-art features for ray-traced rendering, simulation, virtual production, and more to professionals anytime, anywhere.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":44564721991992,"sku":null,"price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/A40_ada03e68-4688-4b4c-bf01-ac603c5ad913.jpg?v=1676584955"},{"product_id":"nvidia-a100-80gb-x16-pci-e-300w-dw-fh-hl-gpu","title":"Nvidia A100 80GB x16  PCI-e 300W DW FH\/HL GPU | 699-21001-0230-600","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e \n\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eModel\u003c\/b\u003e: A100\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eGPU Memory\u003c\/b\u003e: 80 GB HBM2e\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMemory ECC\u003c\/b\u003e: Y\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMemory Bandwidth\u003c\/b\u003e: 1935 GB\/sec\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMax Power Consumption\u003c\/b\u003e: 300W\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eGraphic Bus \/ System Interface\u003c\/b\u003e: PCIe Gen4x16\/ NVLink bridge\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eInterconnect Bandwidth\u003c\/b\u003e: 64 GB\/sec (PCIe 4.0)\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eSlot Width\u003c\/b\u003e: DW\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eGPU Height \/ Length\u003c\/b\u003e: FHFL\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eAuxiliary Cable\u003c\/b\u003e: CPU 8 pin\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eWorkload\u003c\/b\u003e: HPC\/AI\/Database Analytics\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003cp\u003eNVIDIA A100 Tensor Core GPU delivers unprecedented acceleration at every scale to power the world’s highest-performing elastic data centers for AI, data analytics, and HPC. Powered by the NVIDIA Ampere Architecture, A100 is the engine of the NVIDIA data center platform. A100 provides up to 20X higher performance over the prior generation and can be partitioned into seven GPU instances to dynamically adjust to shifting demands. The A100 80GB debuts the world’s fastest memory bandwidth at over 2 terabytes per second (TB\/s) to run the largest models and datasets.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":44564737458488,"sku":"699-21001-0230-600","price":27995.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/A100-pci_edabc967-203f-4bae-ac3d-8867568f486c.jpg?v=1676585152"},{"product_id":"nvidia-a100-40gb-x16-pci-e-300w-dw-fh-hl-gpu","title":"NVIDIA A100 40GB x16  PCI-e 300W DW FH\/HL GPU","description":"\u003cdiv class=\"product-section container jc-between-center is-flex-row\"\u003e\n\u003cdiv class=\"twelve columns medium-down--one-whole-NG product-section-extras quick-specs\"\u003e\n\u003cdiv class=\"quick-specs-data\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cul class=\"margin-empty margin-bottom\"\u003e\n\u003cli\u003e\n\u003cb\u003eProduct Name\u003c\/b\u003e: NVIDIA A100 40GB x16 PCIe GPU\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eModel\u003c\/b\u003e: A100\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eGPU Memory\u003c\/b\u003e: 40 GB HBM2e\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMemory ECC\u003c\/b\u003e: Yes\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMemory Bandwidth\u003c\/b\u003e: 1935 GB\/sec\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMax Power Consumption\u003c\/b\u003e: 300W\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eInterface\u003c\/b\u003e: PCIe Gen4 x16 \/ NVLink bridge capable\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eInterconnect Bandwidth\u003c\/b\u003e: 64 GB\/sec (PCIe 4.0)\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eSlot Width\u003c\/b\u003e: Dual Width (DW)\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eCard Dimensions\u003c\/b\u003e: Full Height, Full Length (FHFL)\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eAuxiliary Power\u003c\/b\u003e: 8-pin CPU-style connector\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eWorkloads\u003c\/b\u003e: HPC, AI, Database Analytics\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"four-NG medium-down--one-whole-NG product-section-extras ideal-for\"\u003e\n\u003cdiv class=\"hfour\"\u003eModel Identifier:\u003c\/div\u003e\n\u003cul\u003e\n\u003cli\u003eA100 40GB PCIe\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"product-section container jc-between-center is-flex-row\"\u003e\n\u003cdiv class=\"eight medium-down--one-whole-NG\"\u003e\n\u003cp\u003eThe NVIDIA A100 40GB PCIe GPU delivers transformative acceleration for AI, data analytics, and high-performance computing (HPC) workloads. Built on the NVIDIA Ampere architecture, it features 40 GB of high-bandwidth HBM2e memory and supports dynamic GPU partitioning into seven isolated instances using Multi-Instance GPU (MIG) technology.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"eight medium-down--one-whole-NG\"\u003e\n\u003cp\u003eWith a bandwidth of up to 1935 GB\/sec and 300W of power consumption, the A100 PCIe model provides elastic performance for demanding data center environments. Its dual-slot, full-height, full-length form factor with PCIe Gen4 x16 connectivity ensures broad compatibility in enterprise-scale deployments.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":44564748894520,"sku":null,"price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/A100-pci_22e29820-113c-4dbc-9f38-0b2b813c2875.jpg?v=1676585279"},{"product_id":"nvidia-quadro-p5000-16gb-sw-full-height-180w-x16-pci-e-3-0","title":"NVIDIA Quadro P5000 16GB SW Full Height 180W x16  PCI-e 3.0 GPU","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cp\u003eThe NVIDIA Quadro P5000 workstation graphics card, powered by NVIDIA Pascal ™ GPU technology, features 16 GB memory capacity and enables an expansive visual workspace with quad display outputs. Work with larger models, complex visual effects and simulations, larger rendering tasks, and more life-like VR experiences in your workflow today and be well prepared for the challenges of tomorrow.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n\u003cdiv class=\"product-section container jc-between-center is-flex-row\"\u003e\n\u003cdiv class=\"eight medium-down--one-whole-NG\"\u003e\n\u003cb\u003eFEATURES\u003c\/b\u003e\n\u003cul\u003e\n\u003cli\u003eFour DisplayPort 1.4 Connectors\u003c\/li\u003e\n\u003cli\u003eDisplayPort with Audio\u003c\/li\u003e\n\u003cli\u003eVGA Support\u003c\/li\u003e\n\u003cli\u003e3D Stereo Support with Stereo Connector\u003c\/li\u003e\n\u003cli\u003eNVIDIA GPUDirect ™ Support\u003c\/li\u003e\n\u003cli\u003eQuadro Sync II Compatibility\u003c\/li\u003e\n\u003cli\u003eNVIDIA nView ® Desktop Management Software Compatibility\u003c\/li\u003e\n\u003cli\u003eHDCP 2.2 Support\u003c\/li\u003e\n\u003cli\u003eNVIDIA Mosaic\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"eight medium-down--one-whole-NG\"\u003e\n\u003chr class=\"is-hidden-mobile-only\"\u003e\n\u003cb\u003eSPECIFICATIONS \u003c\/b\u003e\n\n\u003cul\u003e\n\u003cli\u003eGPU Memory 16 GB GDDR5X\u003c\/li\u003e\n\u003cli\u003eMemory Interface 256-bit\u003c\/li\u003e\n\u003cli\u003eMemory Bandwidth Up to 288 GB\/s\u003c\/li\u003e\n\u003cli\u003eNVIDIA CUDA ® Cores 2560\u003c\/li\u003e\n\u003cli\u003eSystem Interface PCI Express 3.0 x16\u003c\/li\u003e\n\u003cli\u003eMax Power Consumption 180 W\u003c\/li\u003e\n\u003cli\u003eThermal Solution Active\u003c\/li\u003e\n\u003cli\u003eForm Factor 4.4” H × 10.5” L, Dual Slot, Full Height\u003c\/li\u003e\n\u003cli\u003eDisplay Connectors 4x DP 1.4 + DVI-D DL\u003c\/li\u003e\n\u003cli\u003eMax Simultaneous Displays 4 direct, 4 DP 1.4 Multi-Stream\u003c\/li\u003e\n\u003cli\u003eMax DP 1.4 Resolution 7680 x 4320 @ 30 Hz\u003c\/li\u003e\n\u003cli\u003eMax DVI-D DL Resolution 2560 × 1600 @ 60 Hz\u003c\/li\u003e\n\u003cli\u003eGraphics APIs Shader Model 5.1, OpenGL 4.54 , DirectX 12.05 , Vulkan 1.04\u003c\/li\u003e\n\u003cli\u003eCompute APIs CUDA, DirectCompute, OpenCL™\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":44564792803640,"sku":null,"price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/nvidia-quadro-p5000.jpg?v=1676585919"},{"product_id":"nvidia-quadro-p2000-5gb-dw-x16-pci-e-gpu","title":"NVIDIA Quadro P2000 5GB DW x16  PCI-e GPU","description":"\u003cdiv class=\"product-section container jc-between-center is-flex-row\"\u003e \u003cdiv class=\"twelve columns medium-down--one-whole-NG product-section-extras quick-specs\"\u003e \u003cdiv class=\"quick-specs-data\"\u003e \u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e \u003cul class=\"margin-empty margin-bottom\"\u003e \u003cli\u003e\n\u003cb\u003eType\u003c\/b\u003e: Professional Workstation Graphics Card\u003c\/li\u003e \u003cli\u003e\n\u003cb\u003eGPU\u003c\/b\u003e: NVIDIA Quadro P2000 (Pascal)\u003c\/li\u003e \u003cli\u003e\n\u003cb\u003eMemory\u003c\/b\u003e: 5 GB GDDR5\u003c\/li\u003e \u003cli\u003e\n\u003cb\u003eCUDA Cores\u003c\/b\u003e: 1024\u003c\/li\u003e \u003cli\u003e\n\u003cb\u003eMemory Bandwidth\u003c\/b\u003e: Up to 140 GB\/s\u003c\/li\u003e \u003cli\u003e\n\u003cb\u003eInterface\u003c\/b\u003e: PCI Express 3.0 x16\u003c\/li\u003e \u003cli\u003e\n\u003cb\u003eDisplay Outputs\u003c\/b\u003e: 4 x DisplayPort 1.4\u003c\/li\u003e \u003cli\u003e\n\u003cb\u003ePower Consumption\u003c\/b\u003e: 75W\u003c\/li\u003e \u003cli\u003e\n\u003cb\u003eForm Factor\u003c\/b\u003e: Single Slot, 4.4” H x 7.9” L\u003c\/li\u003e \u003cli\u003e\n\u003cb\u003eMax Resolution\u003c\/b\u003e: 5120x2880 @ 60Hz (x4)\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"four-NG medium-down--one-whole-NG product-section-extras ideal-for\"\u003e \u003cdiv class=\"hfour\"\u003ePart Number: \u003c\/div\u003e \u003cul\u003e \u003cli\u003e87CG5\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e\n\u003c\/div\u003e \u003cdiv class=\"product-section container jc-between-center is-flex-row\"\u003e         \u003cdiv class=\"eight medium-down--one-whole-NG \"\u003e \u003cp\u003eThe Dell NVIDIA Quadro P2000 5GB GPU (87CG5) delivers a perfect balance of performance and efficiency for professional 3D applications. Featuring NVIDIA’s Pascal architecture, it packs 1024 CUDA cores and 5 GB of GDDR5 memory on a 160-bit interface. This single-slot card supports up to four 5K displays and offers a bandwidth of up to 140 GB\/s, making it ideal for fluid interaction with complex 3D models and detailed visualizations.\u003c\/p\u003e \u003c\/div\u003e \u003cdiv class=\"eight medium-down--one-whole-NG \"\u003e \u003cp\u003eCertified for a wide range of professional software and tested by major workstation vendors, the Quadro P2000 ensures reliability and compatibility in demanding workflows. Whether used for product design, digital content creation, or advanced visualization, this GPU provides the stability, performance, and feature set required by professionals working in graphics-intensive fields.\u003c\/p\u003e \u003c\/div\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":44564859846968,"sku":"nvidia-p2000","price":0.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/files\/nvidia-p2000-gpu---1_7cdd2f91-5ec0-4227-b48c-1eec8436e90d.jpg?v=1745259572"},{"product_id":"dell-nvidia-rtx-8000-48gb-x16-pci-e-dw-gpu-fh-8vjmk","title":"Dell Nvidia Rtx 8000 48GB x16  PCI-e DW GPU FH | 8VJMK","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e \u003cp\u003eDell NVIDIA RTX 8000 48GB x16 PCI-e DW GPU FH | 8VJMK\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":44564863811896,"sku":"8VJMK","price":0.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/nvidia-rtx-8000_3837392d-4b83-47bd-affa-7bd2224a2919.jpg?v=1676587341"},{"product_id":"nvidia-quadro-k2200-4gb-gddr5-x16-pci-e-2-0-sw-68w-full-height","title":"NVIDIA Quadro K2200 4GB GDDR5 x16  PCI-e 2.0 SW 68W Full Height","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cp\u003eThe NVIDIA Quadro K2200 delivers exceptional power-efficient 3D application performance. 4 GB of GDDR5 GPU memory with fast bandwidth enables you to create large, complex models, and a flexible single-slot form factor makes it compatible with even the most space and power-constrained chassis. Plus, an all-new display engine drives up to four displays with DisplayPort 1.2 support for ultra-high resolutions up to 3840x2160 @ 60 Hz with 30-bit color.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n\u003cdiv class=\"product-section container jc-between-center is-flex-row\"\u003e\n\u003cdiv class=\"eight medium-down--one-whole-NG\"\u003e\n\u003cb\u003eFEATURES\u003c\/b\u003e\n\u003cul class=\"margin-empty margin-bottom\"\u003e\n\u003cli\u003eTwo DisplayPort 1.2 Connectors\u003c\/li\u003e\n\u003cli\u003eDisplayPort with Audio\u003c\/li\u003e\n\u003cli\u003eDVI-I Dual-Link Connector\u003c\/li\u003e\n\u003cli\u003eVGA Support\u003c\/li\u003e\n\u003cli\u003eNVIDIA nView ™ Desktop Management Software Compatibility\u003c\/li\u003e\n\u003cli\u003eHDCP Support\u003c\/li\u003e\n\u003cli\u003eNVIDIA Mosaic\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"eight medium-down--one-whole-NG\"\u003e\n\u003chr class=\"is-hidden-mobile-only\"\u003e\n\u003cb\u003eSPECIFICATIONS \u003c\/b\u003e\n\u003cul class=\"margin-empty margin-bottom\"\u003e\n\u003cli\u003eGPU Memory 4 GB GDDR5\u003c\/li\u003e\n\u003cli\u003eMemory Interface 128-bit\u003c\/li\u003e\n\u003cli\u003eMemory Bandwidth 80.0 GB\/s\u003c\/li\u003e\n\u003cli\u003eNVIDIA CUDA Cores 640\u003c\/li\u003e\n\u003cli\u003eSystem Interface PCI Express 2.0 x16\u003c\/li\u003e\n\u003cli\u003eMax Power Consumption 68 W\u003c\/li\u003e\n\u003cli\u003eThermal Solution Ultra-Quiet Active Fansink\u003c\/li\u003e\n\u003cli\u003eForm Factor 4.376” H × 7.97” L, Single Slot, Full Height\u003c\/li\u003e\n\u003cli\u003eDisplay Connectors DVI-I DL + 2x DP 1.2\u003c\/li\u003e\n\u003cli\u003eMax Simultaneous Displays 3 Direct, 4 DP 1.2 Multi-Stream\u003c\/li\u003e\n\u003cli\u003eMax DP 1.2 Resolution 3840 x 2160 at 60 Hz\u003c\/li\u003e\n\u003cli\u003eMax DVI-I DL Resolution 2560 × 1600 at 60 Hz\u003c\/li\u003e\n\u003cli\u003eMax DVI-I SL Resolution 1920 × 1200 at 60 Hz\u003c\/li\u003e\n\u003cli\u003eMax VGA Resolution 2048 × 1536 at 85 Hz\u003c\/li\u003e\n\u003cli\u003eGraphics APIs Shader Model 5.0, OpenGL 4.53 , DirectX 11.24 , Vulkan 1.03\u003c\/li\u003e\n\u003cli\u003eCompute APIs CUDA, DirectCompute, OpenCL™\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":44564875182392,"sku":"NVIDIA-K2200","price":0.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/nvidia-k2200.jpg?v=1676587774"},{"product_id":"nvidia-tesla-m10-32gb-x8-pci-e-3-0-gpu-accelerator-225w-dw-fh-fl","title":"NVIDIA Tesla M10 32GB GPU Accelerator 225W DW FH\/FL","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e \u003cp\u003eNVIDIA Tesla M10 32GB x8 PCI-e 3.0 GPU Accelerator 225W DW FH\/FL\u003c\/p\u003e\n\u003cp\u003e The NVIDIA \u003csup\u003e®\u003c\/sup\u003e M10 GPU works with NVIDIA GRID \u003csup\u003e®\u003c\/sup\u003e software to deliver the industry's highest user density for virtualized desktops and applications. It supports up to 32 users per board (1GB profile), up to 96 users per server, giving businesses the power to deliver great experiences to all of their employees at an affordable cost. \u003c\/p\u003e\n\u003chr\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eModel\u003c\/b\u003e: M10 \u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eGPU Memory\u003c\/b\u003e: 32 GB GDDR5 \u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMemory ECC\u003c\/b\u003e: N \u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMemory Bandwidth\u003c\/b\u003e: 332 GB\/sec \u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMax Power Consumption\u003c\/b\u003e: 225W \u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eGraphic Bus \/ System Interface\u003c\/b\u003e: PCIe Gen3x16 \u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eInterconnect Bandwidth\u003c\/b\u003e: 32 GB\/sec (PCIe 3.0) \u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eSlot Width\u003c\/b\u003e: DW \u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eGPU Height \/ 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class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e \n\u003cul\u003e\n\u003cli\u003eSmall form-factor, 75-Watt design fits any scale-out server.\u003c\/li\u003e\n\u003cli\u003eINT8 operations slash latency by 15X.\u003c\/li\u003e\n\u003cli\u003eHardware-decode engine capable of transcoding and inferencing 35 HD video streams in real time.\u003c\/li\u003e\n\n\u003cli\u003e\n\u003cb\u003eGPUArchitecture\u003c\/b\u003e NVIDIA Pascal™\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eSingle-Precision Performance\u003c\/b\u003e 5.5 TeraFLOPS*\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eInteger Operations (INT8)\u003c\/b\u003e 22 TOPS* (TeraOperations per Second)\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eGPU Memory\u003c\/b\u003e 8 GB\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMemory Bandwidth\u003c\/b\u003e 192 GB\/s\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eSystem Interface\u003c\/b\u003e Low-Profile PCI Express Form Factor\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMax Power\u003c\/b\u003e 75W\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eEnhanced Programmability with Page Migration Engine\u003c\/b\u003e Yes\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eECC Protection\u003c\/b\u003e Yes\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eServer-Optimized for Data Center Deployment\u003c\/b\u003e Yes\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eHardware-Accelerated Video Engine\u003c\/b\u003e 1x Decode Engine, 2x Encode Engine\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003cp\u003eThe NVIDIA Tesla P4 is powered by the revolutionary NVIDIA Pascal™ architecture and purpose-built to boost efficiency for scale-out servers running deep learning workloads, enabling smart responsive AI-based services. 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With the use of Quadro Mosaic display technology, users can put together an entire wall of 16 displays to create visual projects.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":44564968505656,"sku":"K5200","price":75.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/nvidia-k5200.jpg?v=1676589603"},{"product_id":"dell-nvidia-tesla-v100-300w-32gb-pci-e-gpu-accelerator-t39xp","title":"Dell Nvidia Tesla V100 32GB 250W DW x16  PCI-e GPU Accelerator | T39XP","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e \n\u003cul\u003e\n\u003cli\u003eGPU Architecture NVIDIA Volta\u003c\/li\u003e\n\u003cli\u003eNVIDIA Tensor Cores 640\u003c\/li\u003e\n\u003cli\u003eNVIDIA CUDA ® Cores 5,120\u003c\/li\u003e\n\u003cli\u003eDouble-Precision Performance 7 TFLOPS\u003c\/li\u003e\n\u003cli\u003eSingle-Precision Performance 14 TFLOPS\u003c\/li\u003e\n\u003cli\u003eTensor Performance 112 TFLOPS\u003c\/li\u003e\n\u003cli\u003eGPU Memory 32GB \/16GB HBM2\u003c\/li\u003e\n\u003cli\u003eMemory Bandwidth 900GB\/sec\u003c\/li\u003e\n\u003cli\u003eECC Yes\u003c\/li\u003e\n\u003cli\u003eInterconnect Bandwidth 32GB\/sec\u003c\/li\u003e\n\u003cli\u003eSystem Interface PCIe Gen3\u003c\/li\u003e\n\u003cli\u003eForm Factor PCIe Full Height\/Length\u003c\/li\u003e\n\u003cli\u003eMax Power Comsumption 250 W\u003c\/li\u003e\n\u003cli\u003eThermal Solution Passive\u003c\/li\u003e\n\u003cli\u003eCompute APIs CUDA, DirectCompute, OpenCL ™ , OpenACC\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003cp\u003eNVIDIA ® Tesla ® V100 is the world’s most advanced data center GPU ever built to accelerate AI, HPC, and graphics. Powered by NVIDIA Volta, the latest GPU architecture, Tesla V100 offers the performance of up to 100 CPUs in a single GPU—enabling data scientists, researchers, and engineers to tackle challenges that were once thought impossible.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":44565000192312,"sku":null,"price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/nvidia-tesla-v100_0d0180cb-8853-4e24-b4d8-5722d60398ef.jpg?v=1676590350"},{"product_id":"nvidia-quadro-m2000-4gb-75w-sw-x16-pci-e-4p-gpu","title":"Nvidia Quadro M2000 4GB 75W SW x16  PCI-e 4P GPU | 699-5G303-0500-000","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cp\u003eDell NVIDIA Quadro M2000 4GB 75W SW x16 PCI-e 4P GPU\u003c\/p\u003e\n\u003cp\u003eOEM PN : 699-5G303-0500-000\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":44565018345784,"sku":null,"price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/nvidia-m2000_8d2ea184-64b8-4139-9864-97bc900cf854.jpg?v=1676591089"},{"product_id":"dell-nvidia-rtx-5000-16gb-x16-pci-e-dw-gpu-fh","title":"Dell NVIDIA RTX 5000 16GB x16  PCI-e DW GPU FH","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e \u003cp\u003e The NVIDIA RTX 5000 is a powerful graphics processing unit (GPU) designed for use in demanding professional applications, including 3D modeling, simulation, and rendering. With 16GB of high-speed GDDR6 memory and 3,072 CUDA cores, this GPU delivers outstanding performance for graphics-intensive tasks. \u003c\/p\u003e \u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":44626473779512,"sku":null,"price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/nvidia-rtx-5000_e0e90cd0-df75-450a-95d3-bc77153e1acf.jpg?v=1677265600"},{"product_id":"hpe-nvidia-tesla-v100s-300w-32gb-x8-pci-e-dw-fh-fl-gpu-accelerator-q1k34a","title":"HPE Nvidia Quadro Gv100 Volta 32GB 250W DW Graphics Card (873242-001) | Q1K34A","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e \u003cp\u003eThe NVIDIA ® Quadro ® GV100 reinvents the workstation to meet the demands of AI-enhanced design and visualization workflows. It’s powered by NVIDIA Volta, delivering extreme memory capacity, scalability, and performance that designers, architects, and scientists need to create, build, and solve the impossible.\u003c\/p\u003e\n\u003chr\u003e\n\u003cb\u003eSupercharge rendering with AI \u003c\/b\u003e\n\u003cp\u003e\u0026gt; Work with full fidelity, massive datasets  \u003cbr\u003e\u0026gt; Enjoy fluid visual interactivity with AI-accelerated denoising \u003cbr\u003e\u003cb\u003eBring  o ptimal Designs to Market Faster \u003cbr\u003e\u0026gt; Work with higher fidelity CAE simulation models \u003cbr\u003e \u0026gt; Explore more design options with faster solver performance \u003cbr\u003e\n  \u003chr\u003e\n  \u003cb\u003eEnjoy  ultimate Immersive e \u003c\/b\u003e \n  \u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u0026gt; Work with complex, photoreal datasets in VR realize New  opportunities with AI  \u003cbr\u003e\u0026gt; Access DL frameworks for AI development via NVIDIA NGC  \u003cbr\u003e\u0026gt; Accelerate AI training\/inferencing with Tensor Cores and NVLink \u003c\/p\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":45009122427192,"sku":null,"price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/nvidia-tesla-v100_b81453da-5057-46fd-a55e-1178709a73c5.jpg?v=1681428328"},{"product_id":"nvidia-tesla-m-class-gpu-m2090-computing-module","title":"NVIDIA Tesla M-Class GPU M2090 Computing Module","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cp\u003eThe Tesla M-Class GPU M2090 Computing Module from Nvidia is based on the CUDA architecture code named \"Fermi\". The Tesla GPU computing module is fast parallel computing processor for high performance computing (HPC). Tesla GPU's high performance makes it ideal for seismic processing, biochemistry simulations, weather and climate modeling, signal processing, computational finance, CAE, CFD, and data analytics.\u003c\/p\u003e\n\u003chr\u003e\n\u003cp\u003eAccelerate the science with NVIDIA Tesla 20-series GPU. A companion processor to the CPU in the server, Tesla GPU speeds up HPC applications by 10 x. Based on the Fermi architecture, this GPU features up to 665 gigaflops of double precision performance, 1 teraflop of single precision performance, ECC memory error protection, and L1 and L2 caches.\u003c\/p\u003e\n\u003chr\u003e\n\u003cp\u003eThe Tesla M-class GPU module is integrated into GPU-CPU servers from OEM. This gives data center IT staff much greater choice in how to deploy GPU, with a wide variety of rackmount and blade systems and with remote monitoring and management capabilities, while enabling large data center, scale-out deployments.\u003c\/p\u003e\n\u003chr\u003e\n\u003cb\u003eUP to 6GB Of GDDR5 Memory Per GPU\u003c\/b\u003e\n\u003cp\u003eMaximizes performance and reduces data transfers by keeping larger data sets in local memory that is attached directly to the GPU.\u003c\/p\u003e\n\u003chr\u003e\n\u003cb\u003eSystem Monitoring Features\u003c\/b\u003e\n\u003cp\u003eIntegrates the GPU subsystem with the host system's monitoring and management capabilities such as IPMI or OEM-proprietary tools. IT staff can thus manage the GPU processors in the computing system using widely used cluster\/grid management solutions.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":47556331209016,"sku":null,"price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/files\/tesla-M2090.jpg?v=1703105124"},{"product_id":"nvidia-quadro-rtx-6000-passive-250w-tgp-24gb","title":"Nvidia Quadro RTX 6000 250W 24GB DW Passive GPU","description":"\u003cdiv class=\"product-section container jc-between-center is-flex-row\"\u003e\n   \u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e \u003chr\u003e\n        \u003cdiv class=\"eight medium-down--one-whole-NG \"\u003e\n         \n    \u003cul\u003e\n      \u003cli\u003eRTX 6000 PASSIVE\u003c\/li\u003e\n      \u003cli\u003eDouble Wide\u003c\/li\u003e\n      \u003cli\u003ePCIe 3.0x16\u003c\/li\u003e\n      \u003cli\u003e250W\u003c\/li\u003e\n      \u003cli\u003e24GB\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":49615539175736,"sku":null,"price":0.0,"currency_code":"USD","in_stock":false}]},{"product_id":"nvidia-t1000-4gb-graphic-card","title":"Nvidia T1000 4GB Graphic Card","description":"\u003cdiv class=\"product-section container jc-between-center is-flex-row\"\u003e \u003cdiv class=\"twelve columns medium-down--one-whole-NG product-section-extras quick-specs\"\u003e \u003cdiv class=\"quick-specs-data\"\u003e \u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e \u003cul class=\"margin-empty margin-bottom\"\u003e \u003cli\u003e\n\u003cb\u003eGPU\u003c\/b\u003e: NVIDIA T1000\u003c\/li\u003e \u003cli\u003e\n\u003cb\u003eMemory\u003c\/b\u003e: 4GB GDDR6\u003c\/li\u003e \u003cli\u003e\n\u003cb\u003eInterface\u003c\/b\u003e: PCIe 3.0 x16\u003c\/li\u003e \u003cli\u003e\n\u003cb\u003eForm Factor\u003c\/b\u003e: Low Profile, Single Slot\u003c\/li\u003e \u003cli\u003e\n\u003cb\u003eOutputs\u003c\/b\u003e: 4 x Mini DisplayPort\u003c\/li\u003e \u003cli\u003e\n\u003cb\u003eCooling\u003c\/b\u003e: Active (Fan)\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"four-NG medium-down--one-whole-NG product-section-extras ideal-for\"\u003e \u003cdiv class=\"hfour\"\u003ePart Number: \u003c\/div\u003e \u003cul\u003e \u003cli\u003eNot Specified\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e\n\u003c\/div\u003e \u003cdiv class=\"product-section container jc-between-center is-flex-row\"\u003e         \u003cdiv class=\"eight medium-down--one-whole-NG \"\u003e \u003cp\u003eThe NVIDIA T1000 4GB Graphics Card is a professional workstation GPU built on the Turing architecture, delivering powerful performance for CAD, DCC, and visualization workflows. It features 896 CUDA cores and 4GB of high-speed GDDR6 memory.\u003c\/p\u003e \u003c\/div\u003e \u003cdiv class=\"eight medium-down--one-whole-NG \"\u003e \u003cp\u003eThis low-profile, single-slot card supports up to four 5K displays via Mini DisplayPort and is ideal for compact systems requiring high-efficiency graphics processing. It offers exceptional performance and stability for demanding creative and design applications.\u003c\/p\u003e \u003c\/div\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":50210853585208,"sku":"","price":0.0,"currency_code":"USD","in_stock":false}]},{"product_id":"nvidia-t1000-8gb-graphic-card","title":"Nvidia T1000 8GB Graphic Card","description":"\u003cdiv class=\"product-section container jc-between-center is-flex-row\"\u003e\n\u003cdiv class=\"twelve columns medium-down--one-whole-NG product-section-extras quick-specs\"\u003e\n\u003cdiv class=\"quick-specs-data\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cul class=\"margin-empty margin-bottom\"\u003e\n\u003cli\u003e\n\u003cb\u003eGPU\u003c\/b\u003e: NVIDIA T1000\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMemory\u003c\/b\u003e: 8GB GDDR6\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eInterface\u003c\/b\u003e: PCIe 3.0 x16\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eForm Factor\u003c\/b\u003e: Low Profile, Single Slot\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eOutputs\u003c\/b\u003e: 4 x Mini DisplayPort\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eCooling\u003c\/b\u003e: Active (Fan)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"four column product-section-extras ideal-for\"\u003e\n\u003cdiv class=\"hfour\"\u003ePart Number:\u003c\/div\u003e\n\u003cul\u003e\n\u003cli\u003eNot Specified\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"sixteen column\"\u003e\n\u003cdiv class=\"eight medium-down--one-whole-NG\"\u003e\n\u003cp\u003eThe NVIDIA T1000 4GB Graphics Card is a professional workstation GPU built on the Turing architecture, delivering powerful performance for CAD, DCC, and visualization workflows. It features 896 CUDA cores and 4GB of high-speed GDDR6 memory.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"eight medium-down--one-whole-NG\"\u003e\n\u003cp\u003eThis low-profile, single-slot card supports up to four 5K displays via Mini DisplayPort and is ideal for compact systems requiring high-efficiency graphics processing. It offers exceptional performance and stability for demanding creative and design applications.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":50210854535480,"sku":null,"price":0.0,"currency_code":"USD","in_stock":false}]},{"product_id":"mbf2h516a-ceeot","title":"Nvidia Mellanox Bluefield-2 Dual Port 100GbE QSFP56 Crypto Adapter | MBF2H516A-CEEOT","description":"\u003cdiv class=\"product-section container jc-between-center is-flex-row\"\u003e \u003cdiv class=\"twelve columns medium-down--one-whole-NG product-section-extras quick-specs\"\u003e \u003cdiv class=\"one-whole columns quick-specs-data\"\u003e \u003cdiv class=\"hfour\"\u003eAdapter Specs\u003c\/div\u003e \u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eModel\u003c\/b\u003e: Mellanox MBF2H516A-CEEOT\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eType\u003c\/b\u003e: BlueField-2 DPU Network Adapter\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003ePorts\u003c\/b\u003e: Dual QSFP56 100GbE\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eInterface\u003c\/b\u003e: PCIe 4.0 x16\u003c\/li\u003e\n\u003c\/ul\u003e \u003c\/div\u003e \u003c\/div\u003e\n\u003cdiv class=\"four-NG medium-down--one-whole-NG product-section-extras ideal-for\"\u003e \u003cdiv class=\"hfour\"\u003ePart Number:\u003c\/div\u003e \u003cul\u003e \u003cli\u003eMBF2H516A-CEEOT\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":51025529143608,"sku":"mbf2h516a-ceeot","price":495.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/files\/mellanox-bluefield-2p-mbf2h516a-ceeot---1.png?v=1755626140"},{"product_id":"nvidia-tesla-gpu-straight-extender-bracket-320-0867-003","title":"Nvidia TESLA GPU Straight Extender Bracket | 320-0867-003","description":"\u003cdiv class=\"product-section container is-gap-10 is-flex-row\"\u003e\n    \u003cdiv class=\"twelve 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Specs\u003c\/div\u003e\n            \u003cdiv class=\"other-version-medium-down-scroll\"\u003e\n   \u003cul class=\"margin-empty margin-bottom\"\u003e\n\u003cli\u003eType: Long Offset Extender Bracket\u003c\/li\u003e\n\u003cli\u003eCompatibility: NVIDIA Quadro, Tesla, RTX 5000 Graphics Processing Units\u003c\/li\u003e\n\u003cli\u003eCondition: Refurbished\u003c\/li\u003e\n\u003cli\u003ePurpose: Extends GPU mounting for proper fit in chassis\u003c\/li\u003e\n\u003cli\u003eAvailability: In Stock (as of 3\/17\/2025)\u003c\/li\u003e\n\u003cli\u003ePart Number: 320-0866-004\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n        \u003c\/div\u003e\n    \u003c\/div\u003e\n    \u003cdiv class=\"four-NG-plus medium-down--one-whole-NG product-section-extras ideal-for\"\u003e\n        \u003cdiv class=\"hfour\"\u003ePart Number:\u003c\/div\u003e\n  \u003cul\u003e\n   \u003cli\u003e320-0866-004\u003c\/li\u003e\n  \u003c\/ul\u003e\n \u003c\/div\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":51033335103800,"sku":"320-0866-004","price":75.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/files\/hpe-320-0866-004---1.png?v=1755794447"},{"product_id":"nvidia-a100-gpu-retention-bracket","title":"Nvidia A100 GPU Retention Bracket","description":"\u003cdiv class=\"product-section container is-gap-10 is-flex-row\"\u003e\n    \u003cdiv class=\"twelve columns medium-down--one-whole-NG product-section-extras quick-specs row-col\"\u003e\n        \u003cdiv class=\"one-whole medium-down--one-whole-NG quick-specs-data\"\u003e\n            \u003cdiv class=\"hfour border-bottom-dashed-grey\"\u003eQuick Specs\u003c\/div\u003e\n            \u003cdiv class=\"other-version-medium-down-scroll\"\u003e    \u003cul class=\"margin-empty margin-bottom\"\u003e \u003cli\u003e \u003cb\u003eType\u003c\/b\u003e: GPU Retention Bracket\u003c\/li\u003e \u003cli\u003e \u003cb\u003ePurpose\u003c\/b\u003e: Prevents GPU sag, secures NVIDIA A100 in chassis\u003c\/li\u003e \u003cli\u003e \u003cb\u003eCompatibility\u003c\/b\u003e: NVIDIA A100 40GB\/80GB, select server chassis\u003c\/li\u003e \u003cli\u003e \u003cb\u003eMaterial\u003c\/b\u003e: Aluminum or steel (typical for server-grade brackets)\u003c\/li\u003e \u003cli\u003e \u003cb\u003eMounting\u003c\/b\u003e: Attaches to PCIe slot or chassis mounting points\u003c\/li\u003e \u003c\/ul\u003e  \u003c\/div\u003e\n        \u003c\/div\u003e\n    \u003c\/div\u003e\n    \u003cdiv class=\"four-NG-plus medium-down--one-whole-NG product-section-extras ideal-for\"\u003e\n        \u003cdiv class=\"hfour\"\u003ePart Number:\u003c\/div\u003e   \u003cul\u003e    \u003cli\u003eA100-Bracket\u003c\/li\u003e   \u003c\/ul\u003e  \u003c\/div\u003e \u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":51033448612152,"sku":"a100-bracket","price":95.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/files\/nvidia-a100-bracket----2.png?v=1756142999"},{"product_id":"nvidia-h200-nvl-gpu","title":"NVIDIA H200 NVL AI \u0026 HPC DW 700W GPU","description":"\u003cdiv class=\"product-section container jc-between-center is-flex-row\"\u003e\n\u003cdiv class=\"twelve columns medium-down--one-whole-NG product-section-extras quick-specs\"\u003e \u003cdiv class=\"quick-specs-data\"\u003e \u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e \u003cul class=\"margin-empty margin-bottom\"\u003e\n\u003cli\u003e\n\u003cb\u003eArchitecture\u003c\/b\u003e: Hopper GPU with Transformer Engine\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eCUDA Cores\u003c\/b\u003e: 16,896\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eTensor Cores\u003c\/b\u003e: 528 Fourth Generation\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eFP8 Performance\u003c\/b\u003e: 3959 TFLOPS (with sparsity)\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eFP16\/BF16 Performance\u003c\/b\u003e: 1979 TFLOPS (with sparsity)\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eTF32 Performance\u003c\/b\u003e: 989 TFLOPS (with sparsity)\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eFP64 Performance\u003c\/b\u003e: 30 TFLOPS\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMemory\u003c\/b\u003e: 141 GB HBM3\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMemory Bandwidth\u003c\/b\u003e: 4.8 TB\/s\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eNVLink\u003c\/b\u003e: 900 GB\/s (18 links, 50 GB\/s each)\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eTDP\u003c\/b\u003e: \u003cb\u003eUp to 600W (configurable)\u003c\/b\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eForm Factor\u003c\/b\u003e: Dual-slot PCIe\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"four column product-section-extras ideal-for\"\u003e\n\u003cdiv class=\"hfour\"\u003ePart Number: \u003c\/div\u003e\n\u003cul\u003e\u003cli\u003e900-21010-0040-000\u003c\/li\u003e\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":51180543902008,"sku":null,"price":0.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/files\/L40S_bb6944d8-6d01-4f11-a598-75e8fc7caf22.jpg?v=1759169220"},{"product_id":"tphc986","title":"TPHC986 - Nvidia P4 Low Profile Single-Width GPU","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cul\u003e\n\u003cli\u003eSmall form-factor, 75-Watt design fits any scale-out server.\u003c\/li\u003e\n\u003cli\u003eINT8 operations slash latency by 15X.\u003c\/li\u003e\n\u003cli\u003eHardware-decode engine capable of transcoding and inferencing 35 HD video streams in real time.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eGPUArchitecture\u003c\/b\u003e NVIDIA Pascal™\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eSingle-Precision Performance\u003c\/b\u003e 5.5 TeraFLOPS*\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eInteger Operations (INT8)\u003c\/b\u003e 22 TOPS* (TeraOperations per Second)\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eGPU Memory\u003c\/b\u003e 8 GB\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMemory Bandwidth\u003c\/b\u003e 192 GB\/s\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eSystem Interface\u003c\/b\u003e Low-Profile PCI Express Form Factor\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMax Power\u003c\/b\u003e 75W\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eEnhanced Programmability with Page Migration Engine\u003c\/b\u003e Yes\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eECC Protection\u003c\/b\u003e Yes\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eServer-Optimized for Data Center Deployment\u003c\/b\u003e Yes\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eHardware-Accelerated Video Engine\u003c\/b\u003e 1x Decode Engine, 2x Encode Engine\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003cp\u003eThe NVIDIA Tesla P4 is powered by the revolutionary NVIDIA Pascal™ architecture and purpose-built to boost efficiency for scale-out servers running deep learning workloads, enabling smart responsive AI-based services. It slashes inference latency by 15X in any hyperscale infrastructure and provides an incredible 60X better energy efficiency than CPUs. This unlocks a new wave of AI services previous impossible due to latency limitations.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":52291420258616,"sku":"TPHC986","price":0.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/UCSC-GPU-P4.jpg?v=1664912370"},{"product_id":"nvidia-bluefield-3-2x-200gbe-b3220-dpu","title":"NVIDIA BlueField-3 2x 200GbE B3220 DPU","description":"\u003cdiv class=\"product-section container jc-between-center is-flex-row\"\u003e\n\u003cdiv class=\"twelve columns medium-down--one-whole-NG product-section-extras quick-specs\"\u003e\n\u003cdiv class=\"one-whole columns quick-specs-data\"\u003e\n\u003cdiv class=\"hfour\"\u003eDPU Specs\u003c\/div\u003e\n\u003cul class=\"margin-empty margin-bottom\"\u003e\n\u003cli\u003e\n\u003cb\u003eType\u003c\/b\u003e: Data Processing Units (DPU)\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eNetworking\u003c\/b\u003e: 2x 200GbE\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eForm Factor\u003c\/b\u003e: FHHL\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eInterface\u003c\/b\u003e: PCIe Gen5 x16\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003ePower Consumption\u003c\/b\u003e: 150W\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eCompatible Risers\u003c\/b\u003e: RC 3(Slot 1)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"four-NG medium-down--one-whole-NG product-section-extras ideal-for\"\u003e\n\u003cdiv class=\"hfour\"\u003ePart Number:\u003c\/div\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"product-section container jc-between-center is-flex-row\"\u003e\n  \u003cdiv class=\"one-half medium-down--one-whole-NG\"\u003e\n  \u003cb\u003eWhat is a DPU?\u003c\/b\u003e\n\u003cp\u003e\nA Data Processing Unit (DPU) is a specialized processor designed to handle data movement, networking, storage, and security tasks in servers and data centers. It functions as a programmable SmartNIC with its own Arm CPU cores, hardware accelerators, and high-speed networking capabilities. DPUs offload heavy infrastructure workloads from the main CPU, freeing it up for application-level work. They are commonly used in modern cloud and AI environments to improve efficiency and performance at scale. Popular examples include NVIDIA’s BlueField series of DPUs.\n\u003c\/p\u003e\n  \u003c\/div\u003e\n    \u003cdiv class=\"one-half medium-down--one-whole-NG\"\u003e\n\n\u003cb\u003eWhy is a DPU different from a GPU?\u003c\/b\u003e\n\u003cp\u003e\nA DPU is different from a GPU because it is optimized for moving, securing, and processing data in transit (networking \u0026amp; storage), whereas a GPU is built for performing massive parallel mathematical computations such as AI training and graphics rendering.\n\u003c\/p\u003e\n    \u003c\/div\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n\u003cb\u003eKey Differences Between DPU and GPU\u003c\/b\u003e\n\u003cdiv class=\"product-section container jc-between-center is-flex-row\"\u003e\n  \u003cdiv class=\"one-half medium-down--one-whole-NG\"\u003e\n\n\u003cul\u003e\n    \u003cli\u003e\n\u003cb\u003ePurpose:\u003c\/b\u003e DPU handles data movement, networking, encryption, and storage offloading;\u003c\/li\u003e\n    \u003cli\u003e\n\u003cb\u003eWorkload:\u003c\/b\u003e DPU excels at infrastructure tasks (packets, security, telemetry); \u003c\/li\u003e\n    \u003cli\u003e\n\u003cb\u003eLocation \u0026amp; Role:\u003c\/b\u003e DPU sits on the data path as a SmartNIC; \u003c\/li\u003e\n    \u003cli\u003e\n\u003cb\u003eEfficiency Goal:\u003c\/b\u003e DPU improves overall server efficiency by freeing CPU cycles; \u003c\/li\u003e\n\u003c\/ul\u003e\n    \u003c\/div\u003e\n    \u003cdiv class=\"one-half medium-down--one-whole-NG\"\u003e\n      \u003cul\u003e\n    \u003cli\u003e\n\u003cb\u003ePurpose:\u003c\/b\u003e GPU focuses on heavy parallel math and compute workloads.\u003c\/li\u003e\n    \u003cli\u003e\n\u003cb\u003eWorkload:\u003c\/b\u003e GPU excels at AI\/ML training, simulations, and rendering.\u003c\/li\u003e\n    \u003cli\u003e\n\u003cb\u003eLocation \u0026amp; Role:\u003c\/b\u003e GPU acts as a compute accelerator.\u003c\/li\u003e\n    \u003cli\u003e\n\u003cb\u003eEfficiency Goal:\u003c\/b\u003e GPU increases raw computational power.\u003c\/li\u003e\n\u003c\/ul\u003e\n  \u003c\/div\u003e\n   \u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":52394935615800,"sku":null,"price":0.0,"currency_code":"USD","in_stock":false}]},{"product_id":"nvidia-bluefield-3-1x400-gbe-b3140h","title":"NVIDIA BlueField-3 1x 400 GbE B3140H","description":"\u003cdiv class=\"product-section container jc-between-center is-flex-row\"\u003e\n\u003cdiv class=\"twelve columns medium-down--one-whole-NG product-section-extras quick-specs\"\u003e\n\u003cdiv class=\"one-whole columns quick-specs-data\"\u003e\n\u003cdiv class=\"hfour\"\u003eDPU Specs\u003c\/div\u003e\n\u003cul class=\"margin-empty margin-bottom\"\u003e\n\u003cli\u003e\n\u003cb\u003eType\u003c\/b\u003e: Data Processing Units (DPU)\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eNetworking\u003c\/b\u003e: 1x 400GbE\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eForm Factor\u003c\/b\u003e: FHHL\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eInterface\u003c\/b\u003e: PCIe Gen5 x16\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003ePower Consumption\u003c\/b\u003e: 75W\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eCompatible Risers\u003c\/b\u003e: N\/A\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"four-NG medium-down--one-whole-NG product-section-extras ideal-for\"\u003e\n\u003cdiv class=\"hfour\"\u003ePart Number:\u003c\/div\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"product-section container jc-between-center is-flex-row\"\u003e\n\u003cdiv class=\"one-half medium-down--one-whole-NG\"\u003e\n\u003cb\u003eWhat is a DPU?\u003c\/b\u003e\n\u003cp\u003eA Data Processing Unit (DPU) is a specialized processor designed to handle data movement, networking, storage, and security tasks in servers and data centers. It functions as a programmable SmartNIC with its own Arm CPU cores, hardware accelerators, and high-speed networking capabilities. DPUs offload heavy infrastructure workloads from the main CPU, freeing it up for application-level work. They are commonly used in modern cloud and AI environments to improve efficiency and performance at scale. Popular examples include NVIDIA’s BlueField series of DPUs.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"one-half medium-down--one-whole-NG\"\u003e\n\u003cb\u003eWhy is a DPU different from a GPU?\u003c\/b\u003e\n\u003cp\u003eA DPU is different from a GPU because it is optimized for moving, securing, and processing data in transit (networking \u0026amp; storage), whereas a GPU is built for performing massive parallel mathematical computations such as AI training and graphics rendering.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n\u003cp\u003e\u003cb\u003eKey Differences Between DPU and GPU\u003c\/b\u003e\u003c\/p\u003e\n\u003cdiv class=\"product-section container jc-between-center is-flex-row\"\u003e\n\u003cdiv class=\"one-half medium-down--one-whole-NG\"\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003ePurpose:\u003c\/b\u003e DPU handles data movement, networking, encryption, and storage offloading;\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eWorkload:\u003c\/b\u003e DPU excels at infrastructure tasks (packets, security, telemetry);\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eLocation \u0026amp; Role:\u003c\/b\u003e DPU sits on the data path as a SmartNIC;\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eEfficiency Goal:\u003c\/b\u003e DPU improves overall server efficiency by freeing CPU cycles;\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"one-half medium-down--one-whole-NG\"\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003ePurpose:\u003c\/b\u003e GPU focuses on heavy parallel math and compute workloads.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eWorkload:\u003c\/b\u003e GPU excels at AI\/ML training, simulations, and rendering.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eLocation \u0026amp; Role:\u003c\/b\u003e GPU acts as a compute accelerator.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eEfficiency Goal:\u003c\/b\u003e GPU increases raw computational power.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":52394946199864,"sku":null,"price":0.0,"currency_code":"USD","in_stock":false}]},{"product_id":"nvidia-rtx-a400-4gb-50w-gpu","title":"NVIDIA RTX A400 4GB 50W GPU","description":"\u003cdiv class=\"product-section container jc-between-center is-flex-row\"\u003e\n\u003cdiv class=\"twelve columns medium-down--one-whole-NG product-section-extras quick-specs\"\u003e\n\u003cdiv class=\"one-whole columns quick-specs-data\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cul class=\"margin-empty margin-bottom\"\u003e\n\u003cli\u003eGPU Memory: 4GB GDDR6\u003c\/li\u003e\n\u003cli\u003eDisplay Ports: 4x mini DisplayPort 1.4a \u003c\/li\u003e\n  \u003cli\u003eMax Power Consumption: 50W\u003c\/li\u003e\n  \u003cli\u003eGraphics Bus: PCIe Gen 4 x8*\u003c\/li\u003e\n  \u003cli\u003eForm Factor: 2.7” (H) x 6.4” (L) single slot\u003c\/li\u003e\n  \u003cli\u003eRTX A400 utilizes a full-length PCIe Gen 4 x8 interface.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"four-NG medium-down--one-whole-NG product-section-extras ideal-for\"\u003e\n\u003cdiv class=\"hfour\"\u003ePart Number:\u003c\/div\u003e\n\u003cul\u003e\n\u003cli\u003eN\/A\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":52519126434104,"sku":null,"price":0.0,"currency_code":"USD","in_stock":false}]},{"product_id":"nvidia-rtx-a1000-8gb-50w-gpu","title":"NVIDIA RTX A1000 8GB 50W GPU","description":"\u003cdiv class=\"product-section container jc-between-center is-flex-row\"\u003e\n\u003cdiv class=\"twelve columns medium-down--one-whole-NG product-section-extras quick-specs\"\u003e\n\u003cdiv class=\"one-whole columns quick-specs-data\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cul class=\"margin-empty margin-bottom\"\u003e\n\u003cli\u003eGPU Memory: 8GB GDDR6\u003c\/li\u003e\n\u003cli\u003eDisplay Ports: 4x mini DisplayPort 1.4a\u003c\/li\u003e\n\u003cli\u003eMax Power Consumption: 50W\u003c\/li\u003e\n\u003cli\u003eGraphics Bus: PCIe Gen 4 x8*\u003c\/li\u003e\n\u003cli\u003eForm Factor: 2.7” (H) x 6.4” (L) single slot\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"four-NG medium-down--one-whole-NG product-section-extras ideal-for\"\u003e\n\u003cdiv class=\"hfour\"\u003ePart Number:\u003c\/div\u003e\n\u003cul\u003e\n\u003cli\u003eN\/A\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":52519133577528,"sku":null,"price":0.0,"currency_code":"USD","in_stock":false}]},{"product_id":"900-5g147-2270-000","title":"900-5G147-2270-000 - NVIDIA RTX PRO 4000 Blackwell 24GB GDDR7 Graphics Card","description":"\u003cdiv class=\"product-section container jc-between-center is-flex-row\"\u003e\n  \u003cdiv class=\"twelve columns medium-down--one-whole-NG product-section-extras quick-specs\"\u003e\n    \u003cdiv class=\"one-whole columns quick-specs-data\"\u003e\n      \u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n      \u003cul class=\"margin-empty margin-bottom\"\u003e\n        \u003cli class=\"click-cell\" data-page=\"https:\/\/www.nvidia.com\/content\/dam\/en-zz\/Solutions\/products\/workstations\/professional-desktop-gpus\/rtx-pro-4000\/workstation-datasheet-rtx-pro-4000-nvidia-us-web.pdf\" alt=\"NVIDIA Datasheet\" title=\"NVIDIA Datasheet\" style=\"display:flex;align-items:center;gap:8px;\"\u003e\n  \u003cimg width=\"25\" height=\"30\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/files\/pdf.png\" alt=\"NVIDIA Datasheet\" title=\"NVIDIA Datasheet\" style=\"flex-shrink:0;\"\u003e\n  \u003cspan\u003eNVIDIA Datasheet\u003c\/span\u003e\n\u003c\/li\u003e\n\u003chr\u003e\n        \u003cli\u003e\n          \u003cb\u003eGPU\u003c\/b\u003e: NVIDIA RTX PRO 4000 Blackwell\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eArchitecture\u003c\/b\u003e: NVIDIA Blackwell\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eCUDA Cores\u003c\/b\u003e: 8,960\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eTensor Cores\u003c\/b\u003e: 5th Generation\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eRT Cores\u003c\/b\u003e: 4th Generation\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eMemory\u003c\/b\u003e: 24 GB GDDR7 with ECC\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eMemory Interface\u003c\/b\u003e: 192-bit\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eMemory Bandwidth\u003c\/b\u003e: 672 GB\/s\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eInterface\u003c\/b\u003e: PCIe 5.0 x16\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eDisplay Outputs\u003c\/b\u003e: 4x DisplayPort 2.1b\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eMax Displays\u003c\/b\u003e: 4x 3840x2160 @ 165 Hz; 2x 7680x4320 @ 100 Hz\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eEncode \/ Decode\u003c\/b\u003e: 2x NVENC (9th Gen); 2x NVDEC (6th Gen)\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eForm Factor\u003c\/b\u003e: 4.4 in H x 9.5 in L, single-slot, full height\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eCooling\u003c\/b\u003e: Active\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eTotal Board Power\u003c\/b\u003e: 145 W\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003ePower Connector\u003c\/b\u003e: 1x PCIe CEM5 16-pin\u003c\/li\u003e\n      \u003c\/ul\u003e\n    \u003c\/div\u003e\n  \u003c\/div\u003e\n  \u003cdiv class=\"four-NG medium-down--one-whole-NG product-section-extras ideal-for\"\u003e\n    \u003cdiv class=\"hfour\"\u003ePart Number:\u003c\/div\u003e\n    \u003cul\u003e\n      \u003cli\u003e900-5G147-2270-000\u003c\/li\u003e\n    \u003c\/ul\u003e\n  \u003c\/div\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":53014778118456,"sku":"900-5G147-2270-000","price":0.0,"currency_code":"USD","in_stock":false}]},{"product_id":"900-5g147-2250-000","title":"900-5G147-2250-000 - NVIDIA RTX PRO 4500 Blackwell 32GB GDDR7 Graphics Card","description":"\u003cdiv class=\"product-section container jc-between-center is-flex-row\"\u003e\n  \u003cdiv class=\"twelve columns medium-down--one-whole-NG product-section-extras quick-specs\"\u003e\n    \u003cdiv class=\"one-whole columns quick-specs-data\"\u003e\n      \u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n      \u003cul class=\"margin-empty margin-bottom\"\u003e\n        \u003cli class=\"click-cell\" data-page=\"https:\/\/www.nvidia.com\/content\/dam\/en-zz\/Solutions\/data-center\/rtx-pro-4500-blackwell\/workstation-datasheet-blackwell-rtx-pro-4500-we-nvidia-us-5108623-web.pdf\" alt=\"NVIDIA Datasheet\" title=\"NVIDIA Datasheet\" style=\"display:flex;align-items:center;gap:8px;\"\u003e\n  \u003cimg width=\"25\" height=\"30\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/files\/pdf.png\" alt=\"NVIDIA Datasheet\" title=\"NVIDIA Datasheet\" style=\"flex-shrink:0;\"\u003e\n  \u003cspan\u003eNVIDIA Datasheet\u003c\/span\u003e\n\u003c\/li\u003e\n\u003chr\u003e\n        \u003cli\u003e\n          \u003cb\u003eGPU\u003c\/b\u003e: NVIDIA RTX PRO 4500 Blackwell Workstation Edition\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eArchitecture\u003c\/b\u003e: NVIDIA Blackwell\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eCUDA Cores\u003c\/b\u003e: 10,496\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eTensor Cores\u003c\/b\u003e: 5th Generation\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eRT Cores\u003c\/b\u003e: 4th Generation\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eMemory\u003c\/b\u003e: 32 GB GDDR7 with ECC\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eMemory Interface\u003c\/b\u003e: 256-bit\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eMemory Bandwidth\u003c\/b\u003e: 896 GB\/s\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eInterface\u003c\/b\u003e: PCIe 5.0 x16\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eDisplay Outputs\u003c\/b\u003e: 4x DisplayPort 2.1b\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eMax Displays\u003c\/b\u003e: 4x 3840x2160 @ 165 Hz; 2x 7680x4320 @ 100 Hz\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eEncode \/ Decode\u003c\/b\u003e: 2x NVENC (9th Gen); 2x NVDEC (6th Gen)\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eForm Factor\u003c\/b\u003e: 4.4 in H x 10.5 in L, dual-slot, full height\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eCooling\u003c\/b\u003e: Active\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eTotal Board Power\u003c\/b\u003e: 200 W\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003ePower Connector\u003c\/b\u003e: 1x PCIe CEM5 16-pin\u003c\/li\u003e\n      \u003c\/ul\u003e\n    \u003c\/div\u003e\n  \u003c\/div\u003e\n  \u003cdiv class=\"four-NG medium-down--one-whole-NG product-section-extras ideal-for\"\u003e\n    \u003cdiv class=\"hfour\"\u003ePart Number:\u003c\/div\u003e\n    \u003cul\u003e\n      \u003cli\u003e900-5G147-2250-000\u003c\/li\u003e\n    \u003c\/ul\u003e\n  \u003c\/div\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":53014786900280,"sku":"900-5G147-2250-000","price":0.0,"currency_code":"USD","in_stock":false}]},{"product_id":"900-5g195-2551-000","title":"900-5G195-2551-000 - NVIDIA RTX PRO 2000 Blackwell 16GB GDDR7 Graphics Card","description":"\u003cdiv class=\"product-section container jc-between-center is-flex-row\"\u003e\n  \u003cdiv class=\"twelve columns medium-down--one-whole-NG product-section-extras quick-specs\"\u003e\n    \u003cdiv class=\"one-whole columns quick-specs-data\"\u003e\n      \u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n      \u003cul class=\"margin-empty margin-bottom\"\u003e\n        \u003cli class=\"click-cell\" data-page=\"https:\/\/www.nvidia.com\/content\/dam\/en-zz\/Solutions\/products\/workstations\/professional-desktop-gpus\/rtx-pro-2000\/workstation-datasheet-blackwell-rtx-pro-2000-nvidia-us-4016661.pdf\" alt=\"NVIDIA Datasheet\" title=\"NVIDIA Datasheet\" style=\"display:flex;align-items:center;gap:8px;\"\u003e\n  \u003cimg width=\"25\" height=\"30\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/files\/pdf.png\" alt=\"NVIDIA Datasheet\" title=\"NVIDIA Datasheet\" style=\"flex-shrink:0;\"\u003e\n  \u003cspan\u003eNVIDIA Datasheet\u003c\/span\u003e\n\u003c\/li\u003e\n\u003chr\u003e\n        \u003cli\u003e\n          \u003cb\u003eGPU\u003c\/b\u003e: NVIDIA RTX PRO 2000 Blackwell\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eArchitecture\u003c\/b\u003e: NVIDIA Blackwell\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eCUDA Cores\u003c\/b\u003e: 4,352\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eTensor Cores\u003c\/b\u003e: 5th Generation\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eRT Cores\u003c\/b\u003e: 4th Generation\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eMemory\u003c\/b\u003e: 16 GB GDDR7 with ECC\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eMemory Interface\u003c\/b\u003e: 128-bit\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eMemory Bandwidth\u003c\/b\u003e: 288 GB\/s\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eInterface\u003c\/b\u003e: PCIe 5.0 x8\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eDisplay Outputs\u003c\/b\u003e: 4x Mini DisplayPort 2.1b\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eMax Displays\u003c\/b\u003e: Up to four simultaneous displays\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eEncode \/ Decode\u003c\/b\u003e: 1x NVENC (9th Gen); 1x NVDEC (6th Gen)\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eForm Factor\u003c\/b\u003e: 2.7 in H x 6.6 in L, dual-slot\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eCooling\u003c\/b\u003e: Active\u003c\/li\u003e\n        \u003cli\u003e\n          \u003cb\u003eMax Power\u003c\/b\u003e: 70 W\u003c\/li\u003e\n      \u003c\/ul\u003e\n    \u003c\/div\u003e\n  \u003c\/div\u003e\n  \u003cdiv class=\"four-NG medium-down--one-whole-NG product-section-extras ideal-for\"\u003e\n    \u003cdiv class=\"hfour\"\u003ePart Number:\u003c\/div\u003e\n    \u003cul\u003e\n      \u003cli\u003e900-5G195-2551-000\u003c\/li\u003e\n    \u003c\/ul\u003e\n  \u003c\/div\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":53014786965816,"sku":"900-5G195-2551-000","price":0.0,"currency_code":"USD","in_stock":false}]}],"url":"https:\/\/expresscomputersystems.com\/collections\/nvidia.oembed?page=4","provider":"Express Computer Systems","version":"1.0","type":"link"}