{"title":"NVIDIA","description":"","products":[{"product_id":"nvidia-rtx-pro-6000-blackwell-max-q-96gb-workstation-edition","title":"NVIDIA RTX PRO 6000 Blackwell Max-Q 96GB Workstation Edition","description":"\u003ch2 class=\"title\"\u003eNVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003eExperience the next level of AI and creative performance with the NVIDIA RTX PRO™ 6000 Blackwell Max-Q Workstation Edition. Engineered to accelerate your most demanding workflows, it delivers unparalleled AI and neural rendering capabilities backed by 96GB of ultra-fast GDDR7 memory, in a density-optimized design. Seamlessly scale from one to four GPUs, multiplying your compute power and enabling you to pioneer new frontiers in AI, data science, and graphics.\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli class=\"a-list-item\"\u003eNVIDIA Blackwell Architecture\u003c\/li\u003e\n\u003cli class=\"a-list-item\"\u003e96GB GDDR7 Memory with ECC\u003c\/li\u003e\n\u003cli class=\"a-list-item\"\u003eGraphics Bus: PCI-E 5.0 x16\u003c\/li\u003e\n\u003cli class=\"a-list-item\"\u003eThermal Solution: Blower Active Fan\u003c\/li\u003e\n\u003cli class=\"a-list-item\"\u003eDisplay Connectors: DP 2.1 (4)\u003c\/li\u003e\n\u003cli class=\"a-list-item\"\u003eMax. Power Consumption: 300W\u003c\/li\u003e\n\u003cli class=\"a-list-item\"\u003eCompatible with RTX PRO Sync\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eSpecifications:\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable class=\"table table-bordered newtable\"\u003e\n\u003ctbody\u003e\n\u003ctr class=\"odd-row\"\u003e\n\u003ctd class=\"first\"\u003eArchitecture\u003c\/td\u003e\n\u003ctd class=\"last\"\u003eNVIDIA Blackwell Architecture\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"first\"\u003eCUDA Parallel Processing Cores\u003c\/td\u003e\n\u003ctd class=\"last\"\u003e24,064\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"odd-row\"\u003e\n\u003ctd class=\"first\"\u003eNVIDIA Tensor Cores\u003c\/td\u003e\n\u003ctd class=\"last\"\u003e752\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"first\"\u003eNVIDIA RT Cores\u003c\/td\u003e\n\u003ctd class=\"last\"\u003e188\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"odd-row\"\u003e\n\u003ctd class=\"first\"\u003eSingle-Precision Performance\u003c\/td\u003e\n\u003ctd class=\"last\"\u003e110 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"first\"\u003eAI Performance\u003c\/td\u003e\n\u003ctd class=\"last\"\u003e3511 AI TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"odd-row\"\u003e\n\u003ctd class=\"first\"\u003eRT Core Performance\u003c\/td\u003e\n\u003ctd class=\"last\"\u003e333 TFLOPSS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"first\"\u003eGPU Memory\u003c\/td\u003e\n\u003ctd class=\"last\"\u003e96 GB GDDR7 with ECC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"odd-row\"\u003e\n\u003ctd class=\"first\"\u003eMemory Interface\u003c\/td\u003e\n\u003ctd class=\"last\"\u003e512-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"first\"\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd class=\"last\"\u003e1792 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"odd-row\"\u003e\n\u003ctd class=\"first\"\u003eMax Power Consumption\u003c\/td\u003e\n\u003ctd class=\"last\"\u003e300W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"first\"\u003eMulti-Instance GPU\u003c\/td\u003e\n\u003ctd class=\"last\"\u003eUp to 4x 24GB\u003cbr\u003eUp to 2x 48GB\u003cbr\u003eUp to 1x 96GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"odd-row\"\u003e\n\u003ctd class=\"first\"\u003eGraphics Bus\u003c\/td\u003e\n\u003ctd class=\"last\"\u003ePCI Express 5.0 x16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"first\"\u003eDisplay Connectors\u003c\/td\u003e\n\u003ctd class=\"last\"\u003eDP 2.1 (4)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"odd-row\"\u003e\n\u003ctd class=\"first\"\u003eForm Factor\u003c\/td\u003e\n\u003ctd class=\"last\"\u003e4.4” H x 10.5” L, FHFL, Dual Slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"first\"\u003eProduct Weight\u003c\/td\u003e\n\u003ctd class=\"last\"\u003e1.23 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"odd-row\"\u003e\n\u003ctd class=\"first\"\u003eThermal Solution\u003c\/td\u003e\n\u003ctd class=\"last\"\u003eBlower Active Fan\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"first\"\u003eNVIDIA\u003cspan\u003e \u003c\/span\u003e3D Vision\u003cspan\u003e \u003c\/span\u003eand 3D Vision Pro\u003c\/td\u003e\n\u003ctd class=\"last\"\u003eSupport via 3-pin mini DIN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"odd-row\"\u003e\n\u003ctd class=\"first\"\u003eFrame Lock\u003c\/td\u003e\n\u003ctd class=\"last\"\u003eCompatible (with NVIDIA RTX PRO Sync)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"first\"\u003ePower Connector\u003c\/td\u003e\n\u003ctd class=\"last\"\u003e1x PCIe CEM5 16-pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":43062946201648,"sku":"1096329","price":1381800.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0646\/8855\/4032\/files\/51029_1M.jpg?v=1779453758"},{"product_id":"nvidia-h200-tensor-core-gpu-supercharging-ai-and-hpc-workloads","title":"NVIDIA H200 Tensor Core GPU Supercharging AI and HPC workloads","description":"\u003cdiv class=\"nv-title text h--medium aem-GridColumn--tablet--12 aem-GridColumn--offset--tablet--0 aem-GridColumn--default--none aem-GridColumn--phone--none aem-GridColumn--phone--12 aem-GridColumn--tablet--none aem-GridColumn aem-GridColumn--default--7 aem-GridColumn--offset--phone--0 aem-GridColumn--offset--default--0\"\u003e\n\u003cdiv id=\"nv-title-4b0aecd5cc\" class=\"general-container-text\"\u003e\n\u003cdiv class=\"text-left lap-text-left tab-text-center mob-text-center\"\u003e\n\u003ch2 class=\"title\"\u003eThe GPU for Generative AI and HPC\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"nv-text text aem-GridColumn--tablet--12 aem-GridColumn--offset--tablet--0 aem-GridColumn--default--none aem-GridColumn--phone--none aem-GridColumn--phone--12 aem-GridColumn--tablet--none aem-GridColumn aem-GridColumn--default--7 aem-GridColumn--offset--phone--0 aem-GridColumn--offset--default--0\"\u003e\n\u003cdiv class=\"general-container-text\"\u003e\n\u003cdiv class=\"text-left lap-text-left tab-text-center mob-text-center\"\u003e\n\u003cdiv class=\"description\"\u003e\n\u003cp\u003e\u003cspan class=\"p--large\"\u003eThe NVIDIA H200 GPU supercharges generative AI and high-performance computing (HPC) workloads with game-changing performance and memory capabilities. As the first GPU with HBM3E, the H200’s larger and faster memory fuels the acceleration of generative AI and large language models (LLMs) while advancing scientific computing for HPC workloads.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv class=\"xp-llm-section\"\u003e\n\u003cdiv class=\"xp-llm-container\"\u003e\n\u003c!-- Left Image --\u003e\n\u003cdiv class=\"xp-llm-image\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0864\/6144\/8507\/files\/llm-inference-chart.svg?v=1776493167\" alt=\"LLM Performance\"\u003e\u003c\/div\u003e\n\u003c!-- Right Content --\u003e\n\u003cdiv class=\"xp-llm-content\"\u003e\n\u003ch2 class=\"xp-llm-title\"\u003eUnlock Insights With High-Performance LLM Inference\u003c\/h2\u003e\n\u003cp class=\"xp-llm-text\"\u003eIn the ever-evolving landscape of AI, businesses rely on LLMs to address a diverse range of inference needs. An AI inference accelerator must deliver the highest throughput at the lowest TCO when deployed at scale for a massive user base.\u003c\/p\u003e\n\u003cp class=\"xp-llm-text\"\u003eThe H200 boosts inference speed by up to 2X compared to H100 GPUs when handling LLMs like Llama2.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cstyle\u003e\n\/* Wrapper *\/\n.xp-llm-section {\n  padding: 50px 20px;\n  background: #f5f5f5;\n}\n\n\/* Container *\/\n.xp-llm-container {\n  max-width: 1100px;\n  margin: auto;\n  display: flex;\n  align-items: center;\n  gap: 40px;\n  flex-wrap: wrap;\n}\n\n\/* Image *\/\n.xp-llm-image {\n  flex: 1;\n  min-width: 280px;\n}\n\n.xp-llm-image img {\n  width: 100%;\n  height: auto;\n  border-radius: 6px;\n}\n\n\/* Content *\/\n.xp-llm-content {\n  flex: 1;\n  min-width: 280px;\n}\n\n.xp-llm-title {\n  font-size: 28px;\n  font-weight: 700;\n  margin-bottom: 15px;\n}\n\n.xp-llm-text {\n  font-size: 14px;\n  color: #555;\n  line-height: 1.6;\n  margin-bottom: 15px;\n}\n\n\/* Button *\/\n.xp-llm-btn {\n  display: inline-block;\n  margin-top: 10px;\n  font-size: 14px;\n  font-weight: 600;\n  color: #000;\n  text-decoration: none;\n  border-bottom: 2px solid #76b900;\n  padding-bottom: 3px;\n}\n\n.xp-llm-btn:hover {\n  color: #76b900;\n}\n\n\/* Mobile *\/\n@media (max-width: 768px) {\n  .xp-llm-container {\n    flex-direction: column;\n    text-align: center;\n  }\n}\n\u003c\/style\u003e\n\u003cdiv class=\"nv-text text aem-GridColumn--tablet--12 aem-GridColumn--offset--tablet--0 aem-GridColumn--default--none aem-GridColumn--phone--none aem-GridColumn--phone--12 aem-GridColumn--tablet--none aem-GridColumn aem-GridColumn--default--7 aem-GridColumn--offset--phone--0 aem-GridColumn--offset--default--0\"\u003e\n\u003cdiv class=\"general-container-text\"\u003e\n\u003cdiv class=\"text-left lap-text-left tab-text-center mob-text-center\"\u003e\n\u003cdiv class=\"description\"\u003e\n\u003cdiv class=\"xp-hpc-section\"\u003e\n\u003cdiv class=\"xp-hpc-container\"\u003e\n\u003c!-- Left Content --\u003e\n\u003cdiv class=\"xp-hpc-content\"\u003e\n\u003ch3 class=\"xp-hpc-title\"\u003eSupercharge High-Performance Computing\u003c\/h3\u003e\n\u003cp class=\"xp-hpc-text\"\u003eMemory bandwidth is crucial for HPC applications as it enables faster data transfer, reducing complex processing bottlenecks. For memory-intensive HPC applications like simulations, scientific research, and artificial intelligence, the H200’s higher memory bandwidth ensures that data can be accessed and manipulated efficiently, leading up to 110X faster time to results compared to CPUs.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c!-- Right Charts --\u003e\n\u003cdiv class=\"xp-hpc-charts\"\u003e\n\u003c!-- Chart 1 --\u003e\n\u003cdiv class=\"xp-hpc-chart-box\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0864\/6144\/8507\/files\/high-performance-computing-chart.svg?v=1776493556\" alt=\"ML Performance Chart\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cstyle\u003e\n\/* Section *\/\n.xp-hpc-section {\n  padding: 50px 20px;\n  background: #f5f5f5;\n}\n\n\/* Container *\/\n.xp-hpc-container {\n  max-width: 1200px;\n  margin: auto;\n  display: flex;\n  gap: 40px;\n  align-items: center;\n  flex-wrap: wrap;\n}\n\n\/* Left Content *\/\n.xp-hpc-content {\n  flex: 1;\n  min-width: 300px;\n}\n\n.xp-hpc-title {\n  font-size: 30px;\n  font-weight: 700;\n  margin-bottom: 15px;\n}\n\n.xp-hpc-text {\n  font-size: 14px;\n  color: #555;\n  line-height: 1.7;\n}\n\n\/* Right Charts *\/\n.xp-hpc-charts {\n  flex: 1;\n  min-width: 300px;\n  display: flex;\n  gap: 20px;\n}\n\n\/* Individual Chart *\/\n.xp-hpc-chart-box {\n  flex: 1;\n}\n\n.xp-hpc-chart-box img,\n.xp-hpc-chart-box svg {\n  width: 100%;\n  height: auto;\n}\n\n\/* Mobile *\/\n@media (max-width: 768px) {\n  .xp-hpc-container {\n    flex-direction: column;\n  }\n\n  .xp-hpc-charts {\n    flex-direction: column;\n  }\n}\n\u003c\/style\u003e\n\u003cdiv class=\"nv-text text aem-GridColumn--tablet--12 aem-GridColumn--offset--tablet--0 aem-GridColumn--default--none aem-GridColumn--phone--none aem-GridColumn--phone--12 aem-GridColumn--tablet--none aem-GridColumn aem-GridColumn--default--7 aem-GridColumn--offset--phone--0 aem-GridColumn--offset--default--0\"\u003e\n\u003cdiv class=\"general-container-text\"\u003e\n\u003cdiv class=\"text-left lap-text-left tab-text-center mob-text-center\"\u003e\n\u003cdiv class=\"description\"\u003e\n\u003cdiv class=\"xp-energy-section\"\u003e\n\u003cdiv class=\"xp-energy-container\"\u003e\n\u003c!-- Left Chart --\u003e\n\u003cdiv class=\"xp-energy-chart\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0864\/6144\/8507\/files\/energy-tco-chart.svg?v=1776493785\" alt=\"Energy and TCO Reduction Chart\"\u003e\u003c\/div\u003e\n\u003c!-- Right Content --\u003e\n\u003cdiv class=\"xp-energy-content\"\u003e\n\u003ch3 class=\"xp-energy-title\"\u003eReduce Energy and TCO\u003c\/h3\u003e\n\u003cp class=\"xp-energy-text\"\u003eWith the introduction of the H200, energy efficiency and TCO reach new levels. This cutting-edge technology offers unparalleled performance, all within the same power profile as the H100. AI factories and supercomputing systems that are not only faster but also more eco-friendly, deliver an economic edge that propels the AI and scientific community forward.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cstyle\u003e\n\/* Section *\/\n.xp-energy-section {\n  padding: 50px 20px;\n  background: #f5f5f5;\n}\n\n\/* Container *\/\n.xp-energy-container {\n  max-width: 1100px;\n  margin: auto;\n  display: flex;\n  align-items: center;\n  gap: 40px;\n  flex-wrap: wrap;\n}\n\n\/* Chart *\/\n.xp-energy-chart {\n  flex: 1;\n  min-width: 280px;\n}\n\n.xp-energy-chart img,\n.xp-energy-chart svg {\n  width: 100%;\n  height: auto;\n}\n\n\/* Content *\/\n.xp-energy-content {\n  flex: 1;\n  min-width: 280px;\n}\n\n.xp-energy-title {\n  font-size: 30px;\n  font-weight: 700;\n  margin-bottom: 15px;\n}\n\n.xp-energy-text {\n  font-size: 14px;\n  color: #555;\n  line-height: 1.7;\n}\n\n\/* Mobile *\/\n@media (max-width: 768px) {\n  .xp-energy-container {\n    flex-direction: column;\n    text-align: center;\n  }\n}\n\u003c\/style\u003e\n\u003cdiv class=\"xp-accel-section\"\u003e\n\u003cdiv class=\"xp-accel-container\"\u003e\n\u003c!-- Title --\u003e\n\u003ch2 class=\"xp-accel-title\"\u003eAccelerating AI Acceleration for Mainstream Enterprise Servers With H200 NVL\u003c\/h2\u003e\n\u003c!-- Image --\u003e\n\u003cdiv class=\"xp-accel-image\"\u003e\u003cimg alt=\"H200 NVL\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0864\/6144\/8507\/files\/h200nvl-ari.jpg?v=1776494137\"\u003e\u003c\/div\u003e\n\u003c!-- Description --\u003e\n\u003cp class=\"xp-accel-text\"\u003eNVIDIA H200 NVL is ideal for lower-power, air-cooled enterprise rack designs that require flexible configurations, delivering acceleration for every AI and HPC workload regardless of size. With up to four GPUs connected by NVIDIA NVLink™ and a 1.5x memory increase, large language model (LLM) inference can be accelerated up to 1.7x, and HPC applications achieve up to 1.3x more performance over the H100 NVL.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cstyle\u003e\n\/* Section *\/\n.xp-accel-section {\n  padding: 50px 20px;\n  background: #f5f5f5;\n  text-align: center;\n}\n\n\/* Container *\/\n.xp-accel-container {\n  max-width: 1100px;\n  margin: auto;\n}\n\n\/* Title *\/\n.xp-accel-title {\n  font-size: 32px;\n  font-weight: 700;\n  margin-bottom: 25px;\n}\n\n\/* Image *\/\n.xp-accel-image {\n  margin-bottom: 20px;\n}\n\n.xp-accel-image img {\n  width: 100%;\n  max-width: 900px;\n  height: auto;\n  border-radius: 6px;\n}\n\n\/* Text *\/\n.xp-accel-text {\n  font-size: 14px;\n  color: #555;\n  line-height: 1.7;\n  max-width: 900px;\n  margin: auto;\n}\n\n\/* Mobile *\/\n@media (max-width: 768px) {\n  .xp-accel-title {\n    font-size: 24px;\n  }\n}\n\u003c\/style\u003e\n\u003cp\u003e\u003cstrong\u003eSpecifications:\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable style=\"width: 100%; height: 757.938px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 42.5938px;\"\u003e\n\u003ctd style=\"width: 34.9462%; height: 42.5938px;\"\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 65.0538%; height: 42.5938px;\"\u003e\u003cstrong\u003eH200 NVL\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 31.5938px;\"\u003e\n\u003ctd style=\"width: 34.9462%; height: 31.5938px;\"\u003eFP64\u003c\/td\u003e\n\u003ctd style=\"width: 65.0538%; height: 31.5938px;\"\u003e30 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 31.5938px;\"\u003e\n\u003ctd style=\"width: 34.9462%; height: 31.5938px;\"\u003eFP64 Tensor Core\u003c\/td\u003e\n\u003ctd style=\"width: 65.0538%; height: 31.5938px;\"\u003e60 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 34.5938px;\"\u003e\n\u003ctd style=\"width: 34.9462%; height: 34.5938px;\"\u003eFP32\u003c\/td\u003e\n\u003ctd style=\"width: 65.0538%; height: 34.5938px;\"\u003e60 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 33.5938px;\"\u003e\n\u003ctd style=\"width: 34.9462%; height: 33.5938px;\"\u003eTF32 Tensor Core\u003c\/td\u003e\n\u003ctd style=\"width: 65.0538%; height: 33.5938px;\"\u003e835 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"width: 34.9462%; height: 39.1875px;\"\u003eBFLOAT16 Tensor Core\u003c\/td\u003e\n\u003ctd style=\"width: 65.0538%; height: 39.1875px;\"\u003e1,671 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 33.5938px;\"\u003e\n\u003ctd style=\"width: 34.9462%; height: 33.5938px;\"\u003eFP16 Tensor Core²\u003c\/td\u003e\n\u003ctd style=\"width: 65.0538%; height: 33.5938px;\"\u003e1,671 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 36.5938px;\"\u003e\n\u003ctd style=\"width: 34.9462%; height: 36.5938px;\"\u003eFP8 Tensor Core\u003c\/td\u003e\n\u003ctd style=\"width: 65.0538%; height: 36.5938px;\"\u003e3,341 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 34.5938px;\"\u003e\n\u003ctd style=\"width: 34.9462%; height: 34.5938px;\"\u003eINT8 Tensor Core\u003c\/td\u003e\n\u003ctd style=\"width: 65.0538%; height: 34.5938px;\"\u003e3,341 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 28.5938px;\"\u003e\n\u003ctd style=\"width: 34.9462%; height: 28.5938px;\"\u003eGPU Memory\u003c\/td\u003e\n\u003ctd style=\"width: 65.0538%; height: 28.5938px;\"\u003e141GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"width: 34.9462%; height: 39.1875px;\"\u003eGPU Memory Bandwidth\u003c\/td\u003e\n\u003ctd style=\"width: 65.0538%; height: 39.1875px;\"\u003e4.8TB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"width: 34.9462%; height: 39.1875px;\"\u003eDecoders\u003c\/td\u003e\n\u003ctd style=\"width: 65.0538%; height: 39.1875px;\"\u003e7 NVDEC\u003cbr\u003e7 JPEG\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"width: 34.9462%; height: 39.1875px;\"\u003eConfidential Computing\u003c\/td\u003e\n\u003ctd style=\"width: 65.0538%; height: 39.1875px;\"\u003eSupported\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.75px;\"\u003e\n\u003ctd style=\"width: 34.9462%; height: 58.75px;\"\u003eMax Thermal Design Power (TDP)\u003c\/td\u003e\n\u003ctd style=\"width: 65.0538%; height: 58.75px;\"\u003eUp to 600W (configurable)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"width: 34.9462%; height: 39.1875px;\"\u003eMulti-Instance GPUs\u003c\/td\u003e\n\u003ctd style=\"width: 65.0538%; height: 39.1875px;\"\u003eUp to 7 MIGs @16.5GB each\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"width: 34.9462%; height: 39.1875px;\"\u003eForm Factor\u003c\/td\u003e\n\u003ctd style=\"width: 65.0538%; height: 39.1875px;\"\u003ePCIe\u003cbr\u003eDual-slot air-cooled\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.7812px;\"\u003e\n\u003ctd style=\"width: 34.9462%; height: 58.7812px;\"\u003eInterconnect\u003c\/td\u003e\n\u003ctd style=\"width: 65.0538%; height: 58.7812px;\"\u003e2- or 4-way NVIDIA NVLink bridge:\u003cbr\u003e900GB\/s per GPU\u003cbr\u003ePCIe Gen5: 128GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.75px;\"\u003e\n\u003ctd style=\"width: 34.9462%; height: 58.75px;\"\u003eServer Options\u003c\/td\u003e\n\u003ctd style=\"width: 65.0538%; height: 58.75px;\"\u003eNVIDIA MGX H200 NVL partner and NVIDIA-Certified Systems with up to 8 GPUs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"width: 34.9462%; height: 39.1875px;\"\u003eNVIDIA AI Enterprise\u003c\/td\u003e\n\u003ctd style=\"width: 65.0538%; height: 39.1875px;\"\u003eIncluded\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":43062958620720,"sku":"NVIDIA H200","price":2832200.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0646\/8855\/4032\/files\/490-BKRM_v1.jpg?v=1779454119"},{"product_id":"nvidia-tesla-l4-24gb-pcie-graphics-acellerator-hh-hl-75w-gpu-900-2g193-0000-000","title":"NVIDIA Tesla L4 24GB PCIe Graphics ACELLERATOR HH\/HL 75W GPU 900-2G193-0000-000","description":"\u003ch2 class=\"a-size-base-plus a-text-bold\"\u003eAbout this item\u003c\/h2\u003e\n\u003cul class=\"a-unordered-list a-vertical a-spacing-mini\"\u003e\n\u003cli class=\"a-spacing-mini\"\u003e\u003cspan class=\"a-list-item\"\u003e24GB Video Memory\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"a-spacing-mini\"\u003e\u003cspan class=\"a-list-item\"\u003eFourth Generation Tensor Cores\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"a-spacing-mini\"\u003e\u003cspan class=\"a-list-item\"\u003eHALF HEIGHT BRACKET ONLY\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003e\u003cspan class=\"a-list-item\"\u003eSpecifications\u003c\/span\u003e\u003c\/h2\u003e\n\u003ctable class=\"a-keyvalue prodDetTable\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eGraphics Coprocessor\u003c\/th\u003e\n\u003ctd class=\"a-size-base prodDetAttrValue\"\u003eL4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eGraphics Card Ram\u003c\/th\u003e\n\u003ctd class=\"a-size-base prodDetAttrValue\"\u003e24\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eGPU Clock Speed\u003c\/th\u003e\n\u003ctd class=\"a-size-base prodDetAttrValue\"\u003e2040\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eVideo Output Interface\u003c\/th\u003e\n\u003ctd class=\"a-size-base prodDetAttrValue\"\u003eHDMI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eGraphics Ram Type\u003c\/th\u003e\n\u003ctd class=\"a-size-base prodDetAttrValue\"\u003eGDDR6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eCompatible Devices\u003c\/th\u003e\n\u003ctd class=\"a-size-base prodDetAttrValue\"\u003eSERVERS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eDisplay Resolution Maximum\u003c\/th\u003e\n\u003ctd class=\"a-size-base prodDetAttrValue\"\u003e3840x2160\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eGraphics Card Interface\u003c\/th\u003e\n\u003ctd class=\"a-size-base prodDetAttrValue\"\u003ePCI-Express x16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eMemory Clock Speed\u003c\/th\u003e\n\u003ctd class=\"a-size-base prodDetAttrValue\"\u003e1563\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":43062958817328,"sku":"900-2G193-0000-000","price":242844.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0646\/8855\/4032\/files\/41XzibJupDL._AC_SL1000.jpg?v=1779454126"},{"product_id":"nvidia-900-2g133-0080-000-l40s-48gb-pcie-gen4-passive-gpu","title":"NVIDIA 900-2G133-0080-000 L40S 48GB PCIe Gen4 Passive GPU","description":"\u003ch2\u003e\n\u003cb\u003eKey Features \u003c\/b\u003e\u003cbr\u003e\n\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eForm Factor : Dual Slot\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eVideo Interface : Pci Express 4.0\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eThermal Solution : Passive\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eGraphics Controller : NVIDIA L40s\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eVideo Memory \/ Installed Size : 48 Gb\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eMax Power Consumption : 350 Watt\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eFeatures : Fourth-generation Tensor Cores,third-generation Rt Cores,transformer Engine\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":43062961438768,"sku":"900-2G133-0080-000","price":785470.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0646\/8855\/4032\/files\/388519.webp?v=1779454204"},{"product_id":"nvidia-geforce-rtx-5090-founder-edition","title":"NVIDIA GeForce RTX 5090 32GB Founder Edition Graphic Card","description":"\u003ch3\u003eSpecifications\u003c\/h3\u003e\n\u003ctable class=\"simple\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd width=\"200px\"\u003eAV1_Encode:\u003c\/td\u003e\n\u003cth\u003eYes\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"200px\"\u003emax_GPU_Temperature:\u003c\/td\u003e\n\u003cth\u003e90\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"200px\"\u003eNVIDIA_Encoder:\u003c\/td\u003e\n\u003cth\u003e3x Ninth Generation\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"200px\"\u003eGraphics_Power:\u003c\/td\u003e\n\u003cth\u003e575\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"200px\"\u003eVR_Ready:\u003c\/td\u003e\n\u003cth\u003eYes\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"200px\"\u003eNVIDIA_DLSS:\u003c\/td\u003e\n\u003cth\u003eDLSS 4 Super Resolution DLAA Ray Reconstruction\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"200px\"\u003eNVIDIA_Architecture:\u003c\/td\u003e\n\u003cth\u003eBlackwell\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"200px\"\u003eNVIDIA_Decoder:\u003c\/td\u003e\n\u003cth\u003e2x Sixth Generation\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"200px\"\u003eTensor_Cores:\u003c\/td\u003e\n\u003cth\u003e5th Generation 3352 AI TOPS\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"200px\"\u003eRay_Tracing_Cores:\u003c\/td\u003e\n\u003cth\u003e4th Generation 318 TFLOPS\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"200px\"\u003eStandard_Memory_Config:\u003c\/td\u003e\n\u003cth\u003e32 GB GDDR7\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"200px\"\u003eAV1_Decode:\u003c\/td\u003e\n\u003cth\u003eYes\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"200px\"\u003eCUDA_capability:\u003c\/td\u003e\n\u003cth\u003e12.8\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"200px\"\u003ePower:\u003c\/td\u003e\n\u003cth\u003e1000\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"200px\"\u003eNVIDIA CUDA Cores:\u003c\/td\u003e\n\u003cth\u003e21760\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"200px\"\u003eBoost Clock:\u003c\/td\u003e\n\u003cth\u003e2.41\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"200px\"\u003eStandard Display Connectors:\u003c\/td\u003e\n\u003cth\u003e3x DisplayPort(2), 1x HDMI(3)\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"200px\"\u003eMulti Monitor:\u003c\/td\u003e\n\u003cth\u003eup to 4(4)\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"200px\"\u003eHDCP:\u003c\/td\u003e\n\u003cth\u003e2.3\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"200px\"\u003eDisplay Resolution:\u003c\/td\u003e\n\u003cth\u003e4K at 480Hz or 8K at 120Hz with DSC\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"200px\"\u003eMemory Interface:\u003c\/td\u003e\n\u003cth\u003e512-bit\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"200px\"\u003eBase Clock:\u003c\/td\u003e\n\u003cth\u003e2.01\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":43062966222896,"sku":"1094501","price":396900.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0646\/8855\/4032\/files\/61dU_1-MDyL._SL1400.jpg?v=1779454315"},{"product_id":"nvidia-quadro-rtx-pro-4000-blackwell-24gb-graphic-card","title":"NVIDIA Quadro RTX PRO 4000 Blackwell 24GB Graphic Card","description":"\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ctable width=\"100%\" style=\"width: 100%;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 35.8894%;\"\u003eNVIDIA Architecture\u003c\/td\u003e\n\u003ctd style=\"width: 63.7255%;\"\u003eNVIDIA Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 35.8894%;\"\u003eTensor Cores\u003c\/td\u003e\n\u003ctd style=\"width: 63.7255%;\"\u003e5th Gen\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 35.8894%;\"\u003eRay Tracing Cores\u003c\/td\u003e\n\u003ctd style=\"width: 63.7255%;\"\u003e4th Gen\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 35.8894%;\"\u003eNVIDIA Encoder (NVENC)\u003c\/td\u003e\n\u003ctd style=\"width: 63.7255%;\"\u003e2x 9th Gen\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 35.8894%;\"\u003eNVIDIA Decoder (NVDEC)\u003c\/td\u003e\n\u003ctd style=\"width: 63.7255%;\"\u003e2x 6th Gen\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 35.8894%;\"\u003eMemory Configuration\u003c\/td\u003e\n\u003ctd style=\"width: 63.7255%;\"\u003e24GB GDDR7 with error-correcting code (ECC)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 35.8894%;\"\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd style=\"width: 63.7255%;\"\u003e672 GB\/sec\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 35.8894%;\"\u003eMax Power Consumption\u003c\/td\u003e\n\u003ctd style=\"width: 63.7255%;\"\u003e140 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":43062982049840,"sku":"1097640","price":210700.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0646\/8855\/4032\/files\/61IZK6lFlqL._SL1500.jpg?v=1779454776"},{"product_id":"nvidia-rtx-pro-6000-96gb-gddr7-graphic-card","title":"NVIDIA RTX Pro 6000, 96GB GDDR7 Blackwell Workstatsion Graphic Card","description":"\u003ch3\u003eTechnical Details\u003c\/h3\u003e\n\u003ctable id=\"productDetails_techSpec_section_1\" class=\"a-keyvalue prodDetTable\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eManufacturer\u003c\/th\u003e\n\u003ctd class=\"a-size-base prodDetAttrValue\"\u003e‎Nvidia\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eModel\u003c\/th\u003e\n\u003ctd class=\"a-size-base prodDetAttrValue\"\u003e‎RTX Pro 6000 WKS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eModel Name\u003c\/th\u003e\n\u003ctd class=\"a-size-base prodDetAttrValue\"\u003e‎Rtx Pro 6000 Blackwell Workstation Edition\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eProduct Dimensions\u003c\/th\u003e\n\u003ctd class=\"a-size-base prodDetAttrValue\"\u003e‎30.5 x 12.5 x 0.1 cm; 3 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eItem model number\u003c\/th\u003e\n\u003ctd class=\"a-size-base prodDetAttrValue\"\u003e‎RTX Pro 6000 WKS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eHardware Interface\u003c\/th\u003e\n\u003ctd class=\"a-size-base prodDetAttrValue\"\u003e‎PCI Express x16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eGraphics Card Description\u003c\/th\u003e\n\u003ctd class=\"a-size-base prodDetAttrValue\"\u003e‎Nvidia Rtx Pro 6000 Blackwell Workstation Edition Graphics Card Featuring 24064 Cuda Cores, 96gb Gddr7 Memory, And Advanced Double-flow-through Cooling System. Delivers Up To 4000 Tops Of Ai Processing Power With 600w Power Design For Professional Workloads Including Ai Development, Real-time Rendering, And Scientific Simulations.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eGraphics Card Ram Size\u003c\/th\u003e\n\u003ctd class=\"a-size-base prodDetAttrValue\"\u003e‎96\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eGraphics RAM Type\u003c\/th\u003e\n\u003ctd class=\"a-size-base prodDetAttrValue\"\u003e‎GDDR7\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eGraphics Card Interface\u003c\/th\u003e\n\u003ctd class=\"a-size-base prodDetAttrValue\"\u003e‎PCI-Express x16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eGraphics Coprocessor\u003c\/th\u003e\n\u003ctd class=\"a-size-base prodDetAttrValue\"\u003e‎Nvidia Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eCompatible Devices\u003c\/th\u003e\n\u003ctd class=\"a-size-base prodDetAttrValue\"\u003e‎Desktop, Workstation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eMounting Hardware\u003c\/th\u003e\n\u003ctd class=\"a-size-base prodDetAttrValue\"\u003e‎Graphics Card, User Manual\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eNumber of items\u003c\/th\u003e\n\u003ctd class=\"a-size-base prodDetAttrValue\"\u003e‎1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eResolution\u003c\/th\u003e\n\u003ctd class=\"a-size-base prodDetAttrValue\"\u003e‎8192 Pixels\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eVideo output interface\u003c\/th\u003e\n\u003ctd class=\"a-size-base prodDetAttrValue\"\u003e‎Displayport 2.1b\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eManufacturer\u003c\/th\u003e\n\u003ctd class=\"a-size-base prodDetAttrValue\"\u003e‎Nvidia\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":43063002431536,"sku":"1097777","price":1249500.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0646\/8855\/4032\/files\/41QNagw_c2L._SX522.jpg?v=1779455309"},{"product_id":"nvidia-rtx-pro-4500-blackwell-32gb-ddr7-graphics-card","title":"NVIDIA RTX Pro 4500 Blackwell 32GB DDR7 Graphics Card","description":"\u003ch3\u003eFeatures\u003c\/h3\u003e\n\u003cul class=\"columns-2 productTools-features gray-bullets\"\u003e\n\u003cli class=\"\"\u003e\u003cspan aria-expanded=\"true\"\u003eNVIDIA Blackwell Architecture\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan aria-expanded=\"false\"\u003e32 GB GDDR7 with ECC\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan aria-expanded=\"false\"\u003eNVIDIA RTX PRO SYNC Compatible\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan aria-expanded=\"false\"\u003e4 x Display Port 2.1\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan aria-expanded=\"false\"\u003e10,496 CUDA\u003csup\u003e®\u003c\/sup\u003e Cores\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan aria-expanded=\"false\"\u003eMax Power Consumption 200 W\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003e\u003cspan aria-expanded=\"false\"\u003eTechnical details\u003c\/span\u003e\u003c\/h3\u003e\n\u003ctable border=\"1\" width=\"100%\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd width=\"30%\"\u003eCategory\u003c\/td\u003e\n\u003ctd width=\"70%\"\u003eDetails\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eArchitecture\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Blackwell Architecture\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFoundry\u003c\/td\u003e\n\u003ctd\u003eTSMC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProcess Size\u003c\/td\u003e\n\u003ctd\u003e4N NVIDIA Custom Process\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTransistors\u003c\/td\u003e\n\u003ctd\u003e45.6 Billion\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDie Size\u003c\/td\u003e\n\u003ctd\u003e378 mm²\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCUDA Cores\u003c\/td\u003e\n\u003ctd\u003e10,496\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTensor Cores\u003c\/td\u003e\n\u003ctd\u003e328\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRT Cores\u003c\/td\u003e\n\u003ctd\u003e82\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCategory\u003c\/td\u003e\n\u003ctd\u003eDetails\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU Memory\u003c\/td\u003e\n\u003ctd\u003e32 GB GDDR7 with ECC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory Interface\u003c\/td\u003e\n\u003ctd\u003e256-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd\u003e896 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMax Power Consumption\u003c\/td\u003e\n\u003ctd\u003e200W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGraphics Bus\u003c\/td\u003e\n\u003ctd\u003ePCI Express 5.0 x16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCategory\u003c\/td\u003e\n\u003ctd\u003eDetails\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay Connectors\u003c\/td\u003e\n\u003ctd\u003e4x DisplayPort 2.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eForm Factor\u003c\/td\u003e\n\u003ctd\u003e4.4” H x 10.5” L, FHFL Dual Slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct Weight\u003c\/td\u003e\n\u003ctd\u003e1.070 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eThermal Solution\u003c\/td\u003e\n\u003ctd\u003eBlower-style Active Fan\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Connector\u003c\/td\u003e\n\u003ctd\u003e1x PCIe CEM5 16-pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFeature\u003c\/td\u003e\n\u003ctd\u003eDetails\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e3D Vision 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TYPE\u003c\/td\u003e\n\u003ctd\u003eGDDR6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOpenGL\u003c\/td\u003e\n\u003ctd\u003e4.6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePORTS\u003c\/td\u003e\n\u003ctd\u003eDisplayPort\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRESOLUTION\u003c\/td\u003e\n\u003ctd\u003e7680 x 4320\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMax Display Support\u003c\/td\u003e\n\u003ctd\u003e4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU CORE (CUDA CORE)\u003c\/td\u003e\n\u003ctd\u003e2304\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWARRANTY\u003c\/td\u003e\n\u003ctd\u003e3 Years\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":43063003512880,"sku":"1092157","price":42385.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0646\/8855\/4032\/files\/900-5g172-2580-000-image-01.webp?v=1779455313"},{"product_id":"nvidia-quadro-rtx-a400-4gb-gddr6-graphics-card","title":"NVIDIA Quadro RTX A400 4GB GDDR6 Graphics Card","description":"\u003cp\u003e\u003cstrong\u003e\u003cspan\u003eFeatures:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eSecond-generation RT Cores\u003c\/li\u003e\n\u003cli\u003eThird-generation Tensor Cores\u003c\/li\u003e\n\u003cli\u003eFour Mini DisplayPort 1.4a\u003c\/li\u003e\n\u003cli\u003eAV1 decode support\u003c\/li\u003e\n\u003cli\u003eDisplayPort with audio\u003c\/li\u003e\n\u003cli\u003eNVIDIA RTX Experience\u003c\/li\u003e\n\u003cli\u003eNVIDIA RTX Desktop Manager software\u003c\/li\u003e\n\u003cli\u003eNVIDIA RTX IO support\u003c\/li\u003e\n\u003cli\u003eHDCP 2.2 support\u003c\/li\u003e\n\u003cli\u003eNVIDIA Mosaic1 technology\u003c\/li\u003e\n\u003cli\u003ePCI Express Gen 4\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eTechnical details\u003c\/h3\u003e\n\u003ctable class=\"table\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eModel\u003c\/td\u003e\n\u003ctd\u003eNVIDIA QUADRO RTX A400\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eChipset\u003c\/td\u003e\n\u003ctd\u003eNVIDIA QUADRO\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eA400\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePCI EXPRESS\u003c\/td\u003e\n\u003ctd\u003e4.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMEMORY SIZE\u003c\/td\u003e\n\u003ctd\u003e4 GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMEMORY INTERFACE\u003c\/td\u003e\n\u003ctd\u003e64-BIT\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMEMORY TYPE\u003c\/td\u003e\n\u003ctd\u003eGDDR6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOpenGL\u003c\/td\u003e\n\u003ctd\u003e4.6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePORTS\u003c\/td\u003e\n\u003ctd\u003eDisplayPort\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDirectX\u003c\/td\u003e\n\u003ctd\u003e12 Ultimate\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRESOLUTION\u003c\/td\u003e\n\u003ctd\u003e7680 x 4320\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCOOLER\u003c\/td\u003e\n\u003ctd\u003eBlower\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMax Display Support\u003c\/td\u003e\n\u003ctd\u003e4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU CORE (CUDA CORE)\u003c\/td\u003e\n\u003ctd\u003e768\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWARRANTY\u003c\/td\u003e\n\u003ctd\u003e3 Years\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":43063003578416,"sku":"1092098","price":18130.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0646\/8855\/4032\/files\/rtxa400-4gb-image-20.webp?v=1779455315"},{"product_id":"pny-quadro-rtx-pro-5000-blackwell-48gb-graphics-card","title":"Nvidia Quadro RTX PRO 5000 Blackwell 48GB Graphics Card","description":"\u003cp\u003e\u003cspan\u003e\u003cstrong\u003eFeatures:\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eNVIDIA Blackwell Architecture\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e48 GB\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eGDDR7 with ECC\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA RTX PRO\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eSYNC Compatible\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e4 x\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eDisplay Port 2.1\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e14,080\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eCUDA Cores\u003c\/li\u003e\n\u003cli\u003eMax Power Consumption\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e300 W\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFoundry:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eTSMC\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProcess Size:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e4N NVIDIA Custom Process\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTransistors:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e92.2 Billion\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDie Size:\u003cspan\u003e \u003c\/span\u003e\u003c\/strong\u003e750 mm2\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA Tensor Cores:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e440\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA RT Cores:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e110\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMemory Bandwidth:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003e1344 GB\/s\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMulti-Instance GPU:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eUp to 2x 24GB \/ Up to 1x 48GB\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA 3D Vision and 3D Vision Pro:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eSupport Via 3-pin Mini DIN\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFrame Lock:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eCompatible (with NVIDIA RTX PRO Sync)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eTake your professional workflows to the next level with the NVIDIA RTX PRO 5000 Blackwell Generation. Equipped with the latest NVIDIA architecture and 48GB of fast GDDR7 memory, this GPU delivers exceptional performance, graphics, and AI capabilities, making it perfect for professionals who demand the best. With NVIDIA's AI-powered technologies, professionals can accelerate their workflows, bring complex projects to life, and achieve stunning results, all while enjoying seamless multitasking and improved collaboration.\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003eFifth-Generation Tensor Cores\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e5th Generation Tensor Cores deliver up to 3X the performance of the previous generation and add support for FP4 precision and DLSS 4 multi-frame generation technology. Accelerate local LLMs, prototype new AI models, and drive enhanced content creation and graphics.\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003eFourth-Generation RT Cores\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003eFourth-gen RT Cores deliver up to 2X the performance of the previous generation, accelerating rendering for M\u0026amp;E content creation, AECO design, and manufacturing prototyping. Create photoreal, physically accurate scenes and immersive 3D designs with neural graphics-based technologies, such as RTX Mega Geometry, enabling up to 100X more ray-traced triangles.\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003eNinth-Generation NVENC Engines\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003eNinth-gen NVIDIA NVENC engines significantly accelerate video encoding speed, and improve quality for professional video applications. They add new support for 4:2:2 H.264 and HEVC encoding, and improve HEVC and AV1 encoding quality.\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003eSixth-Generation NVDEC Engines\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003eSixth-gen NVIDIA NVDEC engines provide up to double the H.264 decoding throughput and offer support for 4:2:2 H.264 and HEVC decode. Professionals can benefit from high-quality video playback, accelerated video data ingestion, and use advanced AI-powered video editing features.\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003eGDDR7 Memory\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003eNew and improved GDDR7 memory significantly boosts bandwidth and capacity, empowering your applications to run faster, and work with larger, more complex datasets. With up to 96 GB of GPU memory, tackle massive 3D and AI projects, explore large-scale VR environments, and drive larger multi-app workflows.\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003eNVIDIA RTX PRO\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003eDesigned for professionals who demand the best, NVIDIA RTX PRO solutions deliver unparalleled performance, reliability, and support. Every GPU is rigorously tested for a wide range of design, engineering, and AI workflows and continually optimized through enterprise drivers. With extensive ISV certifications, robust IT management tools, and enterprise-grade support, RTX PRO workstations are the trusted choice for enterprise deployments and mission-critical work.\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003eNVIDIA Blackwell Architecture\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003eThe NVIDIA Blackwell architecture is the engine of AI that combines breakthrough AI, ray tracing and neural graphics technology to create a new standard of visual fidelity and performance. With massive performance and memory improvements to drive cutting-edge professional creative, design, and engineering workflows from anywhere.\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003eBlackwell Streaming Multiprocessor (SM)\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003eBlackwell is the most powerful professional RTX GPU ever created with the latest SM and CUDA core technology. The new SM features increased processing throughput, and new neural shaders that integrate neural networks inside of programmable shaders to drive the next decade of AI-augmented graphics innovations.\u003c\/p\u003e\n\u003ctable class=\"table\"\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eGRAPHICS\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eModel\u003c\/td\u003e\n\u003ctd\u003eVCNRTXPRO5000-SB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eChipset\u003c\/td\u003e\n\u003ctd\u003eNVIDIA QUADRO\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eRTX PRO 5000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePCI EXPRESS\u003c\/td\u003e\n\u003ctd\u003e5.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMEMORY SIZE\u003c\/td\u003e\n\u003ctd\u003e48 GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMEMORY INTERFACE\u003c\/td\u003e\n\u003ctd\u003e384-BIT\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMEMORY TYPE\u003c\/td\u003e\n\u003ctd\u003eGDDR7\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePORTS\u003c\/td\u003e\n\u003ctd\u003eDisplayPort\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCOOLER\u003c\/td\u003e\n\u003ctd\u003eBlower Active Fan\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMax Display Support\u003c\/td\u003e\n\u003ctd\u003e4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU CORE (CUDA CORE)\u003c\/td\u003e\n\u003ctd\u003e14080\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePOWER CONNECTORS\u003c\/td\u003e\n\u003ctd\u003e1 x 16-pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWARRANTY\u003c\/td\u003e\n\u003ctd\u003e3 Years\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNOTE**\u003c\/td\u003e\n\u003ctd\u003e\n\u003cp\u003e\u003cspan\u003eFeatures, Price and Specifications are subject to change without notice. Images use for Representation Purpose Only.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":43063063019568,"sku":"1097200","price":612500.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0646\/8855\/4032\/files\/vcnrtxpro5000-sb-image-02.jpg?v=1779456256"},{"product_id":"nvidia-dgx-spark-ai-supercomputer","title":"NVidia DGX Spark - Personal AI Supercomputer 4TB","description":"\u003ch2 style=\"\n    color: black;\n\"\u003e\n\u003cspan dir=\"ltr\" role=\"presentation\"\u003eNVIDIA DGX Spark - \u003c\/span\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003eDGX personal AI computer, designed to build \u003c\/span\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003eand run AI.\u003c\/span\u003e\n\u003c\/h2\u003e\n\u003cp style=\"\n    color: black;\n\"\u003e\u003cstrong\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003eDevelop Locally, Deploy Anywhere at Scale\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv data-loaded=\"true\" aria-label=\"Page 2\" role=\"region\" data-page-number=\"2\" class=\"page\"\u003e\n\u003cdiv class=\"textLayer\" style=\"\n    color: black;\n\"\u003e\n\u003cspan dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eNVIDIA DGX Spark\u003c\/strong\u003e provides \u003cstrong\u003eorganizations\u003c\/strong\u003e and \u003cstrong\u003edevelopers\u003c\/strong\u003e with a powerful, \u003c\/span\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003eeconomical experimentation ground for prototype models, freeing up valuable \u003c\/span\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003ecompute resources in their cluster environments better suited for training \u003c\/span\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003eand deploying production models. Leveraging the NVIDIA AI platform software \u003c\/span\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003earchitecture makes it possible for NVIDIA DGX Spark users to easily move their \u003c\/span\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003ework from their desktop to DGX Cloud or any accelerated cloud or data center \u003c\/span\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003einfrastructure, making it easier than ever to prototype, fine-tune, and iterate.\u003c\/span\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"textLayer\"\u003e\n\u003cspan dir=\"ltr\" role=\"presentation\"\u003e\u003c\/span\u003e\u003cbr\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"textLayer\" style=\"\n    color: black;\n\"\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eDesktop AI Compute Demands\u003c\/strong\u003e\u003cbr role=\"presentation\"\u003eThe increasing size and complexity of generative AI models is making development efforts on local systems challenging. Prototyping, tuning, and inferencing large models locally requires large amounts of memory and significant compute performance. As enterprises, software providers, government agencies, startups, and researchers staff up AI efforts, the need for AI compute resources continues to grow.\u003c\/span\u003e\u003c\/div\u003e\n\u003cdiv class=\"textLayer\"\u003e\n\u003cspan dir=\"ltr\" role=\"presentation\"\u003e\u003c\/span\u003e\u003cbr\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"textLayer\" style=\"\n    color: black;\n\"\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eWork With Large-Parameter AI Models\u003c\/strong\u003e\u003cbr role=\"presentation\"\u003eWith 128 GB of unified system memory and support for the FP4 data format, NVIDIA DGX Spark can support AI models of up to 200B parameters, enabling AI developers to prototype, fine-tune, and inference large models on their desktop. With built-in NVIDIA ConnectX network technology, two NVIDIA DGX Spark systems can be connected to work on even larger models such as Llama 3.1 405B.\u003c\/span\u003e\u003c\/div\u003e\n\u003cdiv class=\"textLayer\"\u003e\n\u003cspan dir=\"ltr\" role=\"presentation\"\u003e\u003c\/span\u003e\u003cbr\u003e\n\u003c\/div\u003e\n\u003ch3 class=\"textLayer\"\u003e\u003cstrong\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003eTechnical Specifications:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cdiv class=\"textLayer\"\u003e\n\u003ctable width=\"100%\" style=\"width: 100.036%;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003eArchitecture\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e \u003cspan\u003eNVIDIA Grace Blackwell\u003c\/span\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003eNVIDIA Blackwell Architecture\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\n\u003cspan role=\"presentation\" dir=\"ltr\"\u003e20 core Arm, 10 Cortex-X925\u003c\/span\u003e\u003cbr role=\"presentation\"\u003e\u003cspan role=\"presentation\" dir=\"ltr\"\u003e+ 10 Cortex-A725 Arm\u003c\/span\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003e\u003cspan role=\"presentation\" dir=\"ltr\"\u003eCUDA Cores\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003eNVIDIA Blackwell Generation\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003e\u003cspan role=\"presentation\" dir=\"ltr\"\u003eTensor Cores\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003e5th Generation\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003e\u003cspan role=\"presentation\" dir=\"ltr\"\u003eRT Cores\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003e4th Generation\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003e\u003cspan role=\"presentation\" dir=\"ltr\"\u003eTensor Performance\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003e1 PFLOP\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003e\u003cspan role=\"presentation\" dir=\"ltr\"\u003eSystem Memory\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\n\u003cspan role=\"presentation\" dir=\"ltr\"\u003e128 GB LPDDR5x, coherent unified \u003c\/span\u003e\u003cspan role=\"presentation\" dir=\"ltr\"\u003esystem memory\u003c\/span\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003e\u003cspan role=\"presentation\" dir=\"ltr\"\u003eMemory Interface\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003e256-bit\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003eMemory Bandwidth\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003eUp to 273 GB\/s\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003eStorage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003e4 TB NVME.M2 with self-encryption\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003eUSB\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003e4x USB TypeC\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003eEthernet\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\n\u003cspan dir=\"ltr\" role=\"presentation\"\u003e1x RJ-45 connector \u003c\/span\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003e10 GbE\u003c\/span\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003eNIC\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003eConnectX-7 NIC @ 200 Gbps\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003eWi-Fi\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003eWiFi 7\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003eBluetooth\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003eBT 5.4 w\/LE\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003eAudio-output\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003eHDMI multichannel audio output\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003ePower Supply\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003e240 W\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003eGB10 TDP*\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003e140 W\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003eDisplay Connectors\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003e1x HDMI 2.1a\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003eNVENC | NVDEC\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003e1x | 1x\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003eOS\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\n\u003cspan dir=\"ltr\" role=\"presentation\"\u003eNVIDIA DGX\u003c\/span\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003e™\u003c\/span\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003e \u003c\/span\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003eOS\u003c\/span\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003eSystem Dimensions\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003e150 mm L x 150 mm W x 50.5 mm H\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.554%;\"\u003e\u003cstrong\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003eSystem Weight\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 67.2662%;\"\u003e\u003cspan\u003e1.2 kg\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv data-loaded=\"true\" aria-label=\"Page 3\" role=\"region\" data-page-number=\"3\" class=\"page\"\u003e\n\u003cdiv class=\"textLayer\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":43063068393520,"sku":"1097764","price":494890.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0646\/8855\/4032\/files\/DGX-Spark.png?v=1779456435"},{"product_id":"nvidia-geforce-rtx-5080-founders-edition-16-gb-graphic-card","title":"NVIDIA GeForce RTX 5080 Founders Edition 16 GB Graphic Card","description":"","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":43063071965232,"sku":"1093575","price":116620.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0646\/8855\/4032\/files\/31DskP4o6yL.jpg?v=1779456534"},{"product_id":"nvidia-geforce-rtx-5070-founders-edition-graphics-card-12gb-gddr7","title":"NVIDIA GEFORCE RTX 5070 FOUNDERS EDITION GRAPHICS CARD, 12GB GDDR7","description":"\u003ch3 class=\"a-size-base-plus a-text-bold\"\u003eAbout this item\u003c\/h3\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cul class=\"a-unordered-list a-vertical a-spacing-mini\"\u003e\n\u003cli class=\"a-spacing-mini\"\u003e\u003cspan class=\"a-list-item\"\u003eNEXT-GEN ARCHITECTURE: Powered by NVIDIA Blackwell architecture, delivering groundbreaking AI capabilities and exceptional gaming performance\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"a-spacing-mini\"\u003e\u003cspan class=\"a-list-item\"\u003eADVANCED MEMORY: Features 12GB GDDR7 memory configuration, providing enhanced bandwidth and faster data processing for demanding applications\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"a-spacing-mini\"\u003e\u003cspan class=\"a-list-item\"\u003eAI CAPABILITIES: Equipped with substantial AI processing power to enable DLSS 4 technology for superior performance and image quality\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"a-spacing-mini\"\u003e\u003cspan class=\"a-list-item\"\u003eFOUNDERS EDITION DESIGN: Premium build quality with an innovative cooling solution and sleek aesthetic featuring a dual-fan configuration\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"a-spacing-mini\"\u003e\u003cspan class=\"a-list-item\"\u003eCREATOR-READY: Optimised for NVIDIA Studio, offering accelerated content creation and professional-grade capabilities for creative workflows\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv class=\"a-row\"\u003e\n\u003cdiv class=\"a-column a-span6\"\u003e\n\u003ch3 class=\"a-size-medium a-spacing-small\"\u003eTechnical Details\u003c\/h3\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"a-expander-content a-expander-extend-content\" data-expanded=\"true\"\u003e\n\u003cdiv class=\"a-row a-expander-container a-expander-inline-container\"\u003e\n\u003cdiv class=\"a-expander-content a-expander-section-content a-section-expander-inner\" data-expanded=\"true\"\u003e\n\u003ctable style=\"width: 100.059%;\" class=\"a-keyvalue prodDetTable\" id=\"productDetails_techSpec_section_1\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth style=\"width: 32.473%;\" class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eBrand\u003c\/th\u003e\n\u003ctd style=\"width: 67.049%;\" class=\"a-size-base prodDetAttrValue\"\u003e‎NVIDIA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"width: 32.473%;\" class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eManufacturer\u003c\/th\u003e\n\u003ctd style=\"width: 67.049%;\" class=\"a-size-base prodDetAttrValue\"\u003e‎NVIDIA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"width: 32.473%;\" class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eModel Name\u003c\/th\u003e\n\u003ctd style=\"width: 67.049%;\" class=\"a-size-base prodDetAttrValue\"\u003e‎GeForce RTX™ 5070 FOUNDERS EDITION 12GB DDR7\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"width: 32.473%;\" class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eProduct Dimensions\u003c\/th\u003e\n\u003ctd style=\"width: 67.049%;\" class=\"a-size-base prodDetAttrValue\"\u003e‎30 x 12.5 x 0.1 cm; 1 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"width: 32.473%;\" class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eHardware Interface\u003c\/th\u003e\n\u003ctd style=\"width: 67.049%;\" class=\"a-size-base prodDetAttrValue\"\u003e‎PCI Express x16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"width: 32.473%;\" class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eGraphics Card Description\u003c\/th\u003e\n\u003ctd style=\"width: 67.049%;\" class=\"a-size-base prodDetAttrValue\"\u003e‎Nvidia Geforce Rtx 5070 Founders Edition Featuring Blackwell Architecture With Dlss 4 Support And Advanced Ai Capabilities For Gaming And Creative Workloads\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"width: 32.473%;\" class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eGraphics Card Ram Size\u003c\/th\u003e\n\u003ctd style=\"width: 67.049%;\" class=\"a-size-base prodDetAttrValue\"\u003e‎12 GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"width: 32.473%;\" class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eGraphics RAM Type\u003c\/th\u003e\n\u003ctd style=\"width: 67.049%;\" class=\"a-size-base prodDetAttrValue\"\u003e‎GDDR7\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"width: 32.473%;\" class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eGraphics Card Interface\u003c\/th\u003e\n\u003ctd style=\"width: 67.049%;\" class=\"a-size-base prodDetAttrValue\"\u003e‎PCI-Express x16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"width: 32.473%;\" class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eGraphics Coprocessor\u003c\/th\u003e\n\u003ctd style=\"width: 67.049%;\" class=\"a-size-base prodDetAttrValue\"\u003e‎Nvidia Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"width: 32.473%;\" class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eCompatible Devices\u003c\/th\u003e\n\u003ctd style=\"width: 67.049%;\" class=\"a-size-base prodDetAttrValue\"\u003e‎Desktop, Gaming Pc, Workstation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"width: 32.473%;\" class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eMounting Hardware\u003c\/th\u003e\n\u003ctd style=\"width: 67.049%;\" class=\"a-size-base prodDetAttrValue\"\u003e‎Graphics Card, Quick Start Guide, Support Bracket\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"width: 32.473%;\" class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eNumber of items\u003c\/th\u003e\n\u003ctd style=\"width: 67.049%;\" class=\"a-size-base prodDetAttrValue\"\u003e‎1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"width: 32.473%;\" class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eResolution\u003c\/th\u003e\n\u003ctd style=\"width: 67.049%;\" class=\"a-size-base prodDetAttrValue\"\u003e‎8192 Pixels\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"width: 32.473%;\" class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eVideo output interface\u003c\/th\u003e\n\u003ctd style=\"width: 67.049%;\" class=\"a-size-base prodDetAttrValue\"\u003e‎Displayport 2.1, HDMI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"width: 32.473%;\" class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eManufacturer\u003c\/th\u003e\n\u003ctd style=\"width: 67.049%;\" class=\"a-size-base prodDetAttrValue\"\u003e‎NVIDIA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"width: 32.473%;\" class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eCountry of Origin\u003c\/th\u003e\n\u003ctd style=\"width: 67.049%;\" class=\"a-size-base prodDetAttrValue\"\u003e‎USA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"width: 32.473%;\" class=\"a-color-secondary a-size-base prodDetSectionEntry\"\u003eItem Weight\u003c\/th\u003e\n\u003ctd style=\"width: 67.049%;\" class=\"a-size-base prodDetAttrValue\"\u003e‎1 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":43063107223600,"sku":"1094500","price":56350.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0646\/8855\/4032\/files\/71CXXxhCzdL._SL1500.jpg?v=1779457389"},{"product_id":"nvidia-quadro-rtx-6000-ada-48gb-graphics-card","title":"NVIDIA QUADRO RTX 6000 ADA 48GB GRAPHICS CARD","description":"\u003ch3\u003e\u003cspan aria-expanded=\"true\" tabindex=\"0\"\u003eFeatures\u003c\/span\u003e\u003c\/h3\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv class=\"accordion-content\"\u003e\n\u003cul class=\"columns-2 productTools-features gray-bullets\"\u003e\n\u003cli class=\"is-active\"\u003e\u003cspan aria-expanded=\"true\"\u003eNVIDIA Ada Lovelace Architecture\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan aria-expanded=\"false\"\u003e48 GB GDDR6 with ECC\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan aria-expanded=\"false\"\u003e568 Gen 4 Tensor Cores\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan aria-expanded=\"false\"\u003e142 Gen 3 RT Cores\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan aria-expanded=\"false\"\u003e18,176 CUDA\u003csup\u003e®\u003c\/sup\u003e\u003cspan\u003e \u003c\/span\u003eCores\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan aria-expanded=\"false\"\u003e300 W Max Power Consumption\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan aria-expanded=\"false\"\u003e3 Years Manufacturers Warranty\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch3\u003eS\u003cstrong\u003epecifications\u003c\/strong\u003e\n\u003c\/h3\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ctable style=\"width: 100%;\"\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth style=\"width: 23.3562%;\"\u003e\u003cstrong\u003eCategory\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth style=\"width: 76.3378%;\"\u003e\u003cstrong\u003eSpecification\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 23.3562%;\"\u003e\u003cstrong\u003eForm Factor\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 76.3378%;\"\u003e4.4\" H x 10.5\" L, Dual-Slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 23.3562%;\"\u003e\u003cstrong\u003eThermal\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 76.3378%;\"\u003eActive Fansink\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 23.3562%;\"\u003e\u003cstrong\u003eVR Ready\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 76.3378%;\"\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 23.3562%;\"\u003e\u003cstrong\u003eProcess Size\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 76.3378%;\"\u003e4nm NVIDIA Custom Process\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 23.3562%;\"\u003e\u003cstrong\u003eDie Size\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 76.3378%;\"\u003e608.4 mm²\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 23.3562%;\"\u003e\u003cstrong\u003eTransistors\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 76.3378%;\"\u003e76.3 Billion\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv class=\"accordion-content\"\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdiv class=\"column med-12 h-hardEnds\"\u003e\n\u003ch3\u003eSystem Requirements\u003c\/h3\u003e\n\u003cul class=\"productTools-features gray-bullets\"\u003e\n\u003cli class=\"\"\u003e\u003cspan aria-expanded=\"true\"\u003eIntel Core i5, i7, i9, or Xeon processor or later\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"\"\u003e\u003cspan aria-expanded=\"false\"\u003eAMD Ryzen or Epyc class processor or later\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"\"\u003e\u003cspan aria-expanded=\"false\"\u003ePCI Express 4.0 x16 (preferred) expansion slot\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"\"\u003e\u003cspan aria-expanded=\"false\"\u003eSystem memory greater than or equal to GPU memory, twice the GPU memory recommended\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"\"\u003e\u003cspan aria-expanded=\"false\"\u003eInternet connection for driver installation\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"\"\u003e\u003cspan aria-expanded=\"false\"\u003eDisplayPort 1.4a (preferred), HDMI, or DVI-compatible display(s)\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"column med-12 h-hardEnds\"\u003e\n\u003ch3\u003eSupported Platforms\u003c\/h3\u003e\n\u003cul class=\"productTools-features gray-bullets\"\u003e\n\u003cli class=\"\"\u003e\u003cspan aria-expanded=\"true\"\u003eMicrosoft Windows 11 (64-bit)\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"\"\u003e\u003cspan aria-expanded=\"false\"\u003eMicrosoft Windows 10 (64-bit)\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"\"\u003e\u003cspan aria-expanded=\"false\"\u003eRed Hat Enterprise Linux 7.x\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"\"\u003e\u003cspan aria-expanded=\"false\"\u003eSUSE Linux Enterprise Desktop 15.x\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"\"\u003e\u003cspan aria-expanded=\"false\"\u003eFedora 31\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"\"\u003e\u003cspan aria-expanded=\"false\"\u003eUbuntu 18.04\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"\"\u003e\u003cspan aria-expanded=\"false\"\u003eFreeBSD 11.x\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"\"\u003e\u003cspan aria-expanded=\"false\"\u003eSolaris 11\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":43063298752560,"sku":"1092383","price":693840.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0646\/8855\/4032\/files\/NVIDIA-RTX-6000-Ada-3QTR-Back-Left-icons.png?v=1779460532"},{"product_id":"nvidia-quadro-rtx-a5000-24gb-graphics-card","title":"NVIDIA QUADRO RTX A5000 24GB GRAPHICS CARD","description":"\u003ch2\u003eSpecifications:\u003c\/h2\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ctable cellspacing=\"0\" cellpadding=\"0\" height=\"478\" style=\"width: 101.356%;\"\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth style=\"width: 29.0957%; text-align: left;\"\u003eGPU Features\u003c\/th\u003e\n\u003cth style=\"width: 70.7878%; text-align: left;\"\u003eNVIDIA RTX A5000\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 29.0957%;\"\u003eGPU Memory\u003c\/td\u003e\n\u003ctd style=\"width: 70.7878%;\"\u003e24GB GDDR6 with error-correction code (ECC)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 29.0957%;\"\u003eDisplay Ports\u003c\/td\u003e\n\u003ctd style=\"width: 70.7878%;\"\u003e4x DisplayPort 1.4*\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 29.0957%;\"\u003eMax Power Consumption\u003c\/td\u003e\n\u003ctd style=\"width: 70.7878%;\"\u003e230 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 29.0957%;\"\u003eGraphics Bus\u003c\/td\u003e\n\u003ctd style=\"width: 70.7878%;\"\u003ePCI Express Gen 4 x 16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 29.0957%;\"\u003eForm Factor\u003c\/td\u003e\n\u003ctd style=\"width: 70.7878%;\"\u003e4.4” (H) x 10.5” (L) Dual Slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 29.0957%;\"\u003eThermal\u003c\/td\u003e\n\u003ctd style=\"width: 70.7878%;\"\u003eActive\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 29.0957%;\"\u003eNVLink\u003c\/td\u003e\n\u003ctd style=\"width: 70.7878%;\"\u003e2-way low profile (2-slot and 3-slot bridges)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 29.0957%;\"\u003eVirtual GPU (vGPU) Software Support\u003c\/td\u003e\n\u003ctd style=\"width: 70.7878%;\"\u003eNVIDIA Virtual PC (vPC) and Virtual Applications (vApps), NVIDIA RTX vWS, NVIDIA Virtual Compute Server\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 29.0957%;\"\u003evGPU Profiles Supported\u003c\/td\u003e\n\u003ctd style=\"width: 70.7878%;\"\u003e\u003ca href=\"https:\/\/www.nvidia.com\/content\/dam\/en-zz\/Solutions\/design-visualization\/solutions\/resources\/documents1\/Virtual-GPU-Packaging-and-Licensing-Guide.pdf\" target=\"_blank\"\u003eSee the Virtual GPU Licensing Guide\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 29.0957%;\"\u003eVR Ready\u003c\/td\u003e\n\u003ctd style=\"width: 70.7878%;\"\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":43064037998640,"sku":"105559","price":191002.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0646\/8855\/4032\/files\/vcnrtxa5000-sb-image-main-600x600_1ff0f895-b3e7-414d-ba6d-6ad4c7ff80e4.webp?v=1779465702"},{"product_id":"nvidia-quadro-t400-4gb-graphics-card","title":"NVIDIA QUADRO T400 4GB GRAPHIC CARD","description":"\u003ctable class=\"table table-bordered\" style=\"font-size:14px\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU Memory\u003c\/td\u003e\n\u003ctd\u003e4 GB GDDR6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory Interface\u003c\/td\u003e\n\u003ctd\u003e64-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd\u003eUp to 80GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVIDIA CUDA Cores\u003c\/td\u003e\n\u003ctd\u003e384\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSingle-Precision Performance\u003c\/td\u003e\n\u003ctd\u003eUp to 1.09 TFLOPs3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSystem Interface\u003c\/td\u003e\n\u003ctd\u003ePCI Express 3.0 x 16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMax Power Consumption\u003c\/td\u003e\n\u003ctd\u003e30 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eThermal Solution A\u003c\/td\u003e\n\u003ctd\u003eActive\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eForm Factor\u003c\/td\u003e\n\u003ctd\u003e2.713 inches H x 6.137 inches L, single slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay Connectors\u003c\/td\u003e\n\u003ctd\u003e3 x mDP 1.4 with latching mechanism\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMax Simultaneous Displays\u003c\/td\u003e\n\u003ctd\u003e3x 3840 x 2160 @ 120Hz 3x 5120 x 2880 @ 60Hz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGraphics APIs\u003c\/td\u003e\n\u003ctd\u003eDirectX 12.07, Shader Model 5.17, OpenGL 4.68, Vulkan 1.2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCompute APIs\u003c\/td\u003e\n\u003ctd\u003eCUDA, DirectCompute, OpenCL\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWarranty\u003c\/td\u003e\n\u003ctd\u003e3-Year Limited Warranty\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cspan style=\"color:red\"\u003e\n\n*Note: The actual colors may be different from the color displayed here. Features, Price and Specifications are subject to change without notice.\u003c\/span\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":43065147752496,"sku":"107543","price":11466.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0646\/8855\/4032\/files\/1_3d144084-ee96-442e-bc6d-667fe6bdd6b7.jpg?v=1779468734"},{"product_id":"nvidia-quadro-t1000-8gb-graphics-card","title":"NVIDIA QUADRO T1000 8GB GRAPHIC CARD","description":"\u003ctable class=\"table table-bordered\" style=\"font-size:14px\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU Memory\u003c\/td\u003e\n\u003ctd\u003e8    GB GDDR6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory Interface\u003c\/td\u003e\n\u003ctd\u003e128-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd\u003eUp    to 160 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVIDIA CUDA Cores\u003c\/td\u003e\n\u003ctd\u003e896\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSingle-Precision Performance\u003c\/td\u003e\n\u003ctd\u003eUp    to 2.5 TFLOPs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSystem Interface\u003c\/td\u003e\n\u003ctd\u003ePCI    Express 3.0 x 16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMax Power Consumption\u003c\/td\u003e\n\u003ctd\u003e50    W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eThermal Solution\u003c\/td\u003e\n\u003ctd\u003eActive\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eForm Factor\u003c\/td\u003e\n\u003ctd\u003e2.713    inches H x 6.137 inches L, single slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay Connectors\u003c\/td\u003e\n\u003ctd\u003e4    x mDP 1.4 with latching mechanism\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"3\"\u003eMax Simultaneous Displays\u003c\/td\u003e\n\u003ctd\u003e4x    3840 x 2160 @ 120Hz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e4x 5120 x 2880 @ 60Hz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e2x 7680 x 4320 @ 60Hz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"4\"\u003eGraphics APIs\u003c\/td\u003e\n\u003ctd\u003eDirectX    12.07,\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eShader Model 5.17,\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOpenGL 4.68\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVulkan 1.2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCompute APIs\u003c\/td\u003e\n\u003ctd\u003eCUDA,    DirectCompute, OpenCLô\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWarranty\u003c\/td\u003e\n\u003ctd\u003e3    Year\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cspan style=\"color:red\"\u003e\n\n*Note: The actual colors may be different from the color displayed here. Features, Price and Specifications are subject to change without notice.\u003c\/span\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":43065147883568,"sku":"1082251","price":29890.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0646\/8855\/4032\/files\/1_ad65c410-b6c9-41dd-a5d8-98af003c7ccb.jpg?v=1779468736"},{"product_id":"nvidia-quadro-t1000-4gb-graphics-card","title":"NVIDIA QUADRO T1000 4GB GRAPHIC CARD","description":"\u003ctable class=\"table table-bordered\" style=\"font-size:14px\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Quadro T1000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCUDA    Cores\u003c\/td\u003e\n\u003ctd\u003e896\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo    Memory\u003c\/td\u003e\n\u003ctd\u003e4GB GDDR6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory    Interface\u003c\/td\u003e\n\u003ctd\u003e128-Bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOpenGL\u003c\/td\u003e\n\u003ctd\u003e4.6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory    Bandwidth\u003c\/td\u003e\n\u003ctd\u003eUp to 160 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSystem    Interface\u003c\/td\u003e\n\u003ctd\u003ePCIe 3.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"3\"\u003eResolution\u003c\/td\u003e\n\u003ctd\u003e4x 3840 x 2160 @ 120Hz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e4x 5120 x 2880 @ 60Hz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e2x 7680 x 4320 @ 60Hz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHDCP    Support\u003c\/td\u003e\n\u003ctd\u003eYes 2.2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSingle-Precision    Performance\u003c\/td\u003e\n\u003ctd\u003eUp to 2.5 TFLOPs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eThermal    Solution\u003c\/td\u003e\n\u003ctd\u003eActive\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMax    Power Consumption\u003c\/td\u003e\n\u003ctd\u003e50 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMaximum    Display Support\u003c\/td\u003e\n\u003ctd\u003e4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower    Connectors\u003c\/td\u003e\n\u003ctd\u003e4 x mDP 1.4 with latching mechanism\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"4\"\u003eGraphic APIs\u003c\/td\u003e\n\u003ctd\u003eDirectX 12.07\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eShader Model 5.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOpenGL 4.6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVulkan 1.2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"4\"\u003eSoftware\u003c\/td\u003e\n\u003ctd\u003eNVIDIA RTX Desktop Manager software\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVIDIA RTX Experience\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVIDIA Mosaic technology\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHDCP 2.2 support\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensions\u003c\/td\u003e\n\u003ctd\u003e15.5 x 6.8 cm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWarranty\u003c\/td\u003e\n\u003ctd data-warranty=\"3\"\u003e3 Years of Brand    Warranty\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cspan style=\"color:red\"\u003e\n\n*Note: The actual colors may be different from the color displayed here. Features, Price and Specifications are subject to change without notice.\u003c\/span\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":43065148014640,"sku":"104859","price":23030.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0646\/8855\/4032\/files\/1_9222a172-a5e8-4462-8893-2eb87df7fa0b.jpg?v=1779468738"},{"product_id":"nvidia-quadro-rtx-a4000-16gb-workstation-graphics-card","title":"NVIDIA QUADRO RTX A4000 16GB WORKSTATION GRAPHIC CARD","description":"\u003ctable class=\"table table-bordered\" style=\"font-size:14px\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU Memory\u003c\/td\u003e\n\u003ctd\u003e16    GB GDDR6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory interface\u003c\/td\u003e\n\u003ctd\u003e256-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory bandwidth\u003c\/td\u003e\n\u003ctd\u003e448    GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eError-correcting code (ECC)\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVIDIA Ampere architecture-based CUDA Cores\u003c\/td\u003e\n\u003ctd\u003e6144\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVIDIA third-generation Tensor Cores\u003c\/td\u003e\n\u003ctd\u003e192\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVIDIA second-generation RT Cores\u003c\/td\u003e\n\u003ctd\u003e48\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSingle-precision performance\u003c\/td\u003e\n\u003ctd\u003e19.2    TFLOPS3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRT Core performance\u003c\/td\u003e\n\u003ctd\u003e37.4    TFLOPS3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTensor performance\u003c\/td\u003e\n\u003ctd\u003e153.4    TFLOPS4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSystem interface\u003c\/td\u003e\n\u003ctd\u003ePCI    Express 4.0 x16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Consumption\u003c\/td\u003e\n\u003ctd\u003eTotal    board power: 140 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eThermal Solution\u003c\/td\u003e\n\u003ctd\u003eActive\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eForm Factor\u003c\/td\u003e\n\u003ctd\u003e4.4î    H x 9.5î L, single slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay connectors\u003c\/td\u003e\n\u003ctd\u003e4x    DisplayPort 1.4a\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"3\"\u003eMax simultaneous displays\u003c\/td\u003e\n\u003ctd\u003e4x    4096 x 2160 @ 120 Hz,\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e4x 5120 x 2880 @ 60 Hz,\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e2x 7680 x 4320 @ 60 Hz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower connector\u003c\/td\u003e\n\u003ctd\u003e1x    6-pin PCIe\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEncode\/decode engines\u003c\/td\u003e\n\u003ctd\u003e1x    encode, 1x decode (+AV1 decode)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGraphics APIs\u003c\/td\u003e\n\u003ctd\u003eDirectX    12.075 , Shader Model 5.175 , OpenGL 4.686 , Vulkan 1.26\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCompute APIs\u003c\/td\u003e\n\u003ctd\u003eCUDA,    DirectCompute, OpenCLô\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVirtual GPU (vGPU) Software Support\u003c\/td\u003e\n\u003ctd\u003eVIDIA    vPC\/vApps, NVIDIA RTX Virtual Workstation, NVIDIA Virtual Compute Server\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVR Ready\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWarranty\u003c\/td\u003e\n\u003ctd\u003e3    Year\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cspan style=\"color:red\"\u003e\n\n*Note: The actual colors may be different from the color displayed here. Features, Price and Specifications are subject to change without notice.\u003c\/span\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":43065148145712,"sku":"105710","price":79380.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0646\/8855\/4032\/files\/1_5eae8d21-35af-4ac8-a096-0acf67b452f1.jpg?v=1779468740"},{"product_id":"nividia-quadro-rtx-a2000-6gb-graphic-card","title":"NVIDIA QUADRO RTX A2000 6GB GRAPHIC CARD","description":"\u003ctable class=\"table table-bordered\" style=\"font-size:14px\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eSpecification\u003c\/td\u003e\n\u003ctd\u003e \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU memory\u003c\/td\u003e\n\u003ctd\u003e6    GB GDDR6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory interface\u003c\/td\u003e\n\u003ctd\u003e192-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory bandwidth\u003c\/td\u003e\n\u003ctd\u003e288    GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eError-correcting code (ECC)\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVIDIA Ampere architecture-based CUDA Cores\u003c\/td\u003e\n\u003ctd\u003e3328\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVIDIA third-generation Tensor Cores\u003c\/td\u003e\n\u003ctd\u003e104\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRT Cores\u003c\/td\u003e\n\u003ctd\u003e26\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSingle Precision Performance\u003c\/td\u003e\n\u003ctd\u003e8.0    TFLOPS2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRT Core Performance\u003c\/td\u003e\n\u003ctd\u003e15.6    TFLOPS2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTensor Performance\u003c\/td\u003e\n\u003ctd\u003e63.9    TFLOPS3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSystem interface\u003c\/td\u003e\n\u003ctd\u003ePCI    Express 4.0 x16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower consumption\u003c\/td\u003e\n\u003ctd\u003eTotal    board power: 70 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eThermal solution\u003c\/td\u003e\n\u003ctd\u003eActive\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"2\"\u003eForm factor\u003c\/td\u003e\n\u003ctd\u003e2.7î    H x 6.6î L,\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e dual slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay connectors\u003c\/td\u003e\n\u003ctd\u003e4x    mDP 1.4a with latching mechanism\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"3\"\u003eMax simultaneous displays\u003c\/td\u003e\n\u003ctd\u003e4x    4096 x 2160 @ 120 Hz,\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e4x 5120 x 2880 @ 60 Hz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e2x 7680 x 4320 @ 60 Hz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEncode\/decode engines\u003c\/td\u003e\n\u003ctd\u003e1x    encode, 1x decode (+AV1 decode)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVR ready\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"4\"\u003eGraphics APIs\u003c\/td\u003e\n\u003ctd\u003eDirectX    12.074\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eShader Model 5.174\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOpenGL 4.685\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e Vulkan 1.25\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCompute APIs\u003c\/td\u003e\n\u003ctd\u003eCUDA,    DirectCompute, OpenCLô\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWarranty\u003c\/td\u003e\n\u003ctd\u003e3-Year    Limited Warranty\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cspan style=\"color:red\"\u003e\n\n*Note: The actual colors may be different from the color displayed here. Features, Price and Specifications are subject to change without notice.\u003c\/span\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":43065148702768,"sku":"1085207","price":27440.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0646\/8855\/4032\/files\/1_6b0e4fa4-ef7e-4e94-a2b2-9a2854f61af7.jpg?v=1779468748"}],"url":"https:\/\/mehtabrothers.in\/collections\/nvidia.oembed","provider":"Mehta Brothers Shop","version":"1.0","type":"link"}