{"product_id":"pny-nvidia-a100-80gb-pcie-gpu-6912-cuda-cores-7nm-tsmc-process-size-432-tensor-cores-5120-bit-1555-gb-s-bandwidth-pcie-4-0-x16-interface-ampere-8-pin-2-way-low-profil","title":"PNY Nvidia A100 80GB PCIE GPU, 6912 Cuda Cores, 7nm TSMC Process Size, 432 Tensor Cores, 5120 Bit, 1555 GB\/s Bandwidth, PCIe 4.0 x16 Interface, Ampere, 8 Pin, 2 Way Low Profil","description":"\u003cdiv class=\"flex-1 overflow-hidden\" data-mce-fragment=\"1\"\u003e\n\u003cdiv class=\"react-scroll-to-bottom--css-arsmu-79elbk h-full dark:bg-gray-800\" data-mce-fragment=\"1\"\u003e\n\u003cdiv class=\"react-scroll-to-bottom--css-arsmu-1n7m0yu\" data-mce-fragment=\"1\"\u003e\n\u003cdiv class=\"flex flex-col text-sm dark:bg-gray-800\" data-mce-fragment=\"1\"\u003e\n\u003cdiv class=\"group w-full text-token-text-primary border-b border-black\/10 dark:border-gray-900\/50 bg-gray-50 dark:bg-[#444654]\" data-mce-fragment=\"1\"\u003e\n\u003cdiv class=\"flex p-4 gap-4 text-base md:gap-6 md:max-w-2xl lg:max-w-[38rem] xl:max-w-3xl md:py-6 lg:px-0 m-auto\" data-mce-fragment=\"1\"\u003e\n\u003cdiv class=\"relative flex w-[calc(100%-50px)] flex-col gap-1 md:gap-3 lg:w-[calc(100%-115px)]\" data-mce-fragment=\"1\"\u003e\n\u003cdiv class=\"flex flex-grow flex-col gap-3\" data-mce-fragment=\"1\"\u003e\n\u003cdiv class=\"min-h-[20px] flex flex-col items-start gap-3 overflow-x-auto whitespace-pre-wrap break-words\" data-mce-fragment=\"1\"\u003e\n\u003cdiv class=\"markdown prose w-full break-words dark:prose-invert light\" data-mce-fragment=\"1\"\u003e\n\u003cp data-mce-fragment=\"1\"\u003eUnprecedented Advancement for the Most Powerful Elastic Data Centers Worldwide\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eThe NVIDIA A100 80GB Tensor Core GPU introduces an unparalleled level of acceleration on all fronts, catering to a diverse range of scales, to drive the operation of the planet's most high-performing elastic data centers designed for AI, data analytics, and high-performance computing (HPC) tasks. Serving as the driving force behind NVIDIA's data center infrastructure, the A100 establishes a performance benchmark that surpasses the preceding NVIDIA Volta generation by up to 20 times. The A100's capabilities extend to efficient scalability and division into seven distinct GPU instances, utilizing the Multi-Instance GPU (MIG) feature. This innovative technology creates a unified foundation, allowing elastic data centers to dynamically adapt to varying workload requirements.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eWithin the comprehensive NVIDIA data center ecosystem, the A100 forms a crucial component, seamlessly integrating hardware, networking, software, libraries, and optimized AI models and applications sourced from the NGC. Representing the ultimate end-to-end AI and HPC solution for data centers, it empowers researchers to deliver tangible real-world outcomes and implement solutions on a large scale. Simultaneously, IT administrators gain the capability to optimize the utilization of each available A100 GPU at their disposal.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003cstrong\u003eSpecification\u003c\/strong\u003e\u003c\/span\u003e,\u003c\/p\u003e\n\u003ctable class=\"table\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCUDA Cores\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd class=\"h-colorGrey\"\u003e6912\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eStreaming Multiprocessors\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd class=\"h-colorGrey\"\u003e108\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eTensor Cores | Gen 3\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd class=\"h-colorGrey\"\u003e432\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU Memory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd class=\"h-colorGrey\"\u003e80GB HBM2e ECC on by Default\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemory Interface\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd class=\"h-colorGrey\"\u003e5120-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemory Bandwidth\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd class=\"h-colorGrey\"\u003e1555 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eNVLink\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd class=\"h-colorGrey\"\u003e2-Way, 2-Slot, 600 GB\/s Bidirectional\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMIG (Multi-Instance GPU) Support\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd class=\"h-colorGrey\"\u003eYes, up to 7 GPU Instances\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFP64\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd class=\"h-colorGrey\"\u003e9.7 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFP64 Tensor Core\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd class=\"h-colorGrey\"\u003e19.5 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFP32\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd class=\"h-colorGrey\"\u003e19.5 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eTF32 Tensor Core\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd class=\"h-colorGrey\"\u003e156 TFLOPS | 312 TFLOPS*\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBFLOAT16 Tensor Core\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd class=\"h-colorGrey\"\u003e312 TFLOPS | 624 TFLOPS*\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFP16 Tensor Core\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd class=\"h-colorGrey\"\u003e312 TFLOPS | 624 TFLOPS*\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eINT8 Tensor Core\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd class=\"h-colorGrey\"\u003e624 TOPS | 1248 TOPS*\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eINT4 Tensor Core\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd class=\"h-colorGrey\"\u003e1248 TOPS | 2496 TOPS*\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eThermal Solutions\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd class=\"h-colorGrey\"\u003ePassive\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003evGPU Support\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd class=\"h-colorGrey\"\u003eNVIDIA Virtual Compute Server (vCS)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSystem Interface\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd class=\"h-colorGrey\"\u003ePCIE 4.0 x16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMaximum Power Consumption\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd class=\"h-colorGrey\"\u003e300 W\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\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","brand":"emarathgamers","offers":[{"title":"Default Title","offer_id":46355566952731,"sku":"","price":60485.0,"currency_code":"AED","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0797\/7077\/9931\/files\/a100-pcie-3QTR-600x600.png?v=1692523064","url":"https:\/\/emaratgamers.ae\/products\/pny-nvidia-a100-80gb-pcie-gpu-6912-cuda-cores-7nm-tsmc-process-size-432-tensor-cores-5120-bit-1555-gb-s-bandwidth-pcie-4-0-x16-interface-ampere-8-pin-2-way-low-profil","provider":"emaratgamers.ae","version":"1.0","type":"link"}