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This GPU offers unparalleled GPU acceleration, making it ideal for advanced AI models, rendering tasks, and data center applications. Engineers and procurement professionals seeking top-tier performance in their data centers will find the Nvidia L40S to be an excellent choice.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eNvidia L40S Product Highlights\u003c\/b\u003e\u003c\/p\u003e\n\u003cul class=\"ul_add_distListType\"\u003e\n\u003cli\u003eAdvanced AI model acceleration\u003c\/li\u003e\n\u003cli\u003eHigh-performance rendering\u003c\/li\u003e\n\u003cli\u003eData center optimized\u003c\/li\u003e\n\u003cli\u003eUnmatched GPU power\u003c\/li\u003e\n\u003cli\u003eIndustry-leading technology\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eProduct Features Comparison\u003c\/b\u003e\u003c\/p\u003e\n\u003ctable border=\"1\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth\u003e\u003cb\u003eFeature\u003c\/b\u003e\u003c\/th\u003e\n\u003cth\u003e\u003cb\u003eNvidia L40S\u003c\/b\u003e\u003c\/th\u003e\n\u003cth\u003e\u003cb\u003eNvidia A100\u003c\/b\u003e\u003c\/th\u003e\n\u003cth\u003e\u003cb\u003eNvidia V100\u003c\/b\u003e\u003c\/th\u003e\n\u003cth\u003e\u003cb\u003eAMD Instinct MI100\u003c\/b\u003e\u003c\/th\u003e\n\u003cth\u003e\u003cb\u003eGoogle TPU v4\u003c\/b\u003e\u003c\/th\u003e\n\u003cth\u003e\u003cb\u003eIntel Habana Gaudi\u003c\/b\u003e\u003c\/th\u003e\n\u003cth\u003e\u003cb\u003eGraphcore IPU-M2000\u003c\/b\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003eGPU Architecture\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003eAmpere\u003c\/td\u003e\n\u003ctd\u003eAmpere\u003c\/td\u003e\n\u003ctd\u003eVolta\u003c\/td\u003e\n\u003ctd\u003eCDNA\u003c\/td\u003e\n\u003ctd\u003eTPU\u003c\/td\u003e\n\u003ctd\u003eGaudi\u003c\/td\u003e\n\u003ctd\u003eColossus Mk2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003eMemory\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003e48GB GDDR6\u003c\/td\u003e\n\u003ctd\u003e40GB HBM2\u003c\/td\u003e\n\u003ctd\u003e16GB HBM2\u003c\/td\u003e\n\u003ctd\u003e32GB HBM2\u003c\/td\u003e\n\u003ctd\u003e128GB\u003c\/td\u003e\n\u003ctd\u003e32GB HBM2\u003c\/td\u003e\n\u003ctd\u003e450MB In-Processor Memory\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003eMemory Bandwidth\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003e1.4 TB\/s\u003c\/td\u003e\n\u003ctd\u003e1.6 TB\/s\u003c\/td\u003e\n\u003ctd\u003e900 GB\/s\u003c\/td\u003e\n\u003ctd\u003e1.23 TB\/s\u003c\/td\u003e\n\u003ctd\u003e600 GB\/s\u003c\/td\u003e\n\u003ctd\u003e900 GB\/s\u003c\/td\u003e\n\u003ctd\u003e30 TB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003ePower Consumption\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003e300W\u003c\/td\u003e\n\u003ctd\u003e400W\u003c\/td\u003e\n\u003ctd\u003e250W\u003c\/td\u003e\n\u003ctd\u003e300W\u003c\/td\u003e\n\u003ctd\u003e280W\u003c\/td\u003e\n\u003ctd\u003e200W\u003c\/td\u003e\n\u003ctd\u003e400W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003ePeak Performance\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003e24 TFLOPs\u003c\/td\u003e\n\u003ctd\u003e312 TFLOPs\u003c\/td\u003e\n\u003ctd\u003e120 TFLOPs\u003c\/td\u003e\n\u003ctd\u003e184.6 TFLOPs\u003c\/td\u003e\n\u003ctd\u003e100+ PFLOPs\u003c\/td\u003e\n\u003ctd\u003e2 TAI TOPS\u003c\/td\u003e\n\u003ctd\u003e64 IPU-Tiles\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003cp\u003e\u003cb\u003eNvidia L40S Product Application Scenarios\u003c\/b\u003e\u003c\/p\u003e\n\u003cul class=\"ul_add_distListType\"\u003e\n\u003cli\u003eGPU-accelerated data centers\u003c\/li\u003e\n\u003cli\u003eAdvanced AI model development\u003c\/li\u003e\n\u003cli\u003eHigh-performance rendering tasks\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eOptional Add-ons\u003c\/b\u003e\u003c\/p\u003e\n\u003ctable border=\"1\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth\u003e\u003cb\u003eModel\u003c\/b\u003e\u003c\/th\u003e\n\u003cth\u003e\u003cb\u003eDescription\u003c\/b\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003eNvidia NVLink Bridge\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003eHigh-speed interconnect for multiple GPUs.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003eNVIDIA DGX Station A100\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003eWorkgroup appliance for AI development.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003eQuadro Sync II\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003eSynchronize up to 32 displays or projectors.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\u003c\/div\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":53781749137735,"sku":"L40S","price":8899.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0855\/3336\/0455\/files\/nvidia-l40s_1.webp?v=1777042439"},{"product_id":"nvidia-a10","title":"NVIDIA A10","description":"\u003cp\u003eThe NVIDIA A10 Tensor Core GPU provides designers, engineers, artists and scientists with the effectiveness they need to overcome today’s challenges. Small, single-slot 150W GPUs, combined with NVIDIA Virtualized GPU (vGPU) software, accelerate multiple data center workloads in an infrastructure that is easy to manage, secure and resilient to adapt to a variety of needs, ranging from graphically rich virtual desktop infrastructure (VDI) to artificial intelligence.\u003c\/p\u003e\u003ch3\u003eSpecifications\u003c\/h3\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003eFeature\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cb\u003eDetails\u003c\/b\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003eFP32\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003e31.2TF\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003eTF32 Tensor Core\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003e62.5TF | 125 TF\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003eBFLOAT16 Tensor Core\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003e125TF | 250TF\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003eFP16 Tensor Core\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003e125TF | 250 TF\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003eINT8 Tensor Core\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003e250 TOPS | 500 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003eINT4 Tensor Core\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003e500 TOPS | 1000TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003eRT Cores\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003e72\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003eEncode\/Decode\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003e1 encoder, 2 decoders (+AV1 decode)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003eGPU Memory\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003e24 GB GDDR6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch3\u003eSystem \u0026amp; Connectivity\u003c\/h3\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003eFeature\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cb\u003eDetails\u003c\/b\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003eGPU Memory Bandwidth\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003e600 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003eInterconnect\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003ePCIe Gen4: 64 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003eForm Factor\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003e1-slot FHFL\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003eMax TDP Power\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003e150W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003eSecure and Measured Boot with Hardware Root of Trust\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003eYes (optional)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003eNEBS Ready\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003eLevel 3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003ePower Connector\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003ePEX 8-pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003evGPU Software Support\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003eNVIDIA vPC\/vApps, NVIDIA RTX? vWS, NVIDIA AI Enterprise\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":53781749694791,"sku":"A10","price":2999.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0855\/3336\/0455\/files\/a10_front.webp?v=1777042367"},{"product_id":"nvidia-gpu-l4","title":"Nvidia GPU L4","description":"\u003ch2\u003eNvidia L4 Overview\u003c\/h2\u003e\u003cdiv class=\"std prod-description\"\u003e\n\u003cp\u003eNVIDIA L4 is a compact, energy-efficient GPU designed for AI, video analytics, and edge computing applications. Ideal for engineers and procurement personnel, it provides high performance and low power consumption, making it perfect for various computational tasks.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eNvidia L4 Product Highlights\u003c\/b\u003e\u003c\/p\u003e\n\u003cul class=\"ul_add_distListType\"\u003e\n\u003cli\u003eCompact design\u003c\/li\u003e\n\u003cli\u003eEnergy-efficient\u003c\/li\u003e\n\u003cli\u003eHigh performance\u003c\/li\u003e\n\u003cli\u003eAI optimized\u003c\/li\u003e\n\u003cli\u003eEdge computing ready\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eProduct Features Comparison\u003c\/b\u003e\u003c\/p\u003e\n\u003ctable border=\"1\"\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003e\u003cb\u003eFeatures\u003c\/b\u003e\u003c\/th\u003e\n\u003cth\u003eNvidia L4\u003c\/th\u003e\n\u003cth\u003eNvidia T4\u003c\/th\u003e\n\u003cth\u003eNvidia P4\u003c\/th\u003e\n\u003cth\u003eGoogle TPU\u003c\/th\u003e\n\u003cth\u003eAMD MI100\u003c\/th\u003e\n\u003cth\u003eIntel Nervana NNP\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003ePower Consumption\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003eLow\u003c\/td\u003e\n\u003ctd\u003eMedium\u003c\/td\u003e\n\u003ctd\u003eLow\u003c\/td\u003e\n\u003ctd\u003eHigh\u003c\/td\u003e\n\u003ctd\u003eHigh\u003c\/td\u003e\n\u003ctd\u003eMedium\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003ePerformance\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003eHigh\u003c\/td\u003e\n\u003ctd\u003eHigh\u003c\/td\u003e\n\u003ctd\u003eMedium\u003c\/td\u003e\n\u003ctd\u003eVery High\u003c\/td\u003e\n\u003ctd\u003eVery High\u003c\/td\u003e\n\u003ctd\u003eMedium\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003eForm Factor\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003eCompact\u003c\/td\u003e\n\u003ctd\u003eCompact\u003c\/td\u003e\n\u003ctd\u003eCompact\u003c\/td\u003e\n\u003ctd\u003eLarge\u003c\/td\u003e\n\u003ctd\u003eLarge\u003c\/td\u003e\n\u003ctd\u003eMedium\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003eApplication\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003eAI, Edge\u003c\/td\u003e\n\u003ctd\u003eAI, Data Center\u003c\/td\u003e\n\u003ctd\u003eInference, Edge\u003c\/td\u003e\n\u003ctd\u003eAI, Research\u003c\/td\u003e\n\u003ctd\u003eFP64 Compute\u003c\/td\u003e\n\u003ctd\u003eAI Compute\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003ePrice\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003eMid\u003c\/td\u003e\n\u003ctd\u003eMid\u003c\/td\u003e\n\u003ctd\u003eLow\u003c\/td\u003e\n\u003ctd\u003eHigh\u003c\/td\u003e\n\u003ctd\u003eHigh\u003c\/td\u003e\n\u003ctd\u003eMid\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e\u003cb\u003eNvidia L4 Product Application Scenarios\u003c\/b\u003e\u003c\/p\u003e\n\u003cul class=\"ul_add_distListType\"\u003e\n\u003cli\u003eAI-driven video analytics\u003c\/li\u003e\n\u003cli\u003eReal-time edge computing\u003c\/li\u003e\n\u003cli\u003eData-intensive AI applications\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eOptional Add-ons\u003c\/b\u003e\u003c\/p\u003e\n\u003ctable border=\"1\"\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eModel\u003c\/th\u003e\n\u003cth\u003eDescription\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVIDIA NVLink Bridge\u003c\/td\u003e\n\u003ctd\u003eIncreases GPU performance by interconnecting multiple GPUs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVIDIA Tesla P100\u003c\/td\u003e\n\u003ctd\u003eHigh-performance GPU for deep learning and AI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVIDIA TensorRT\u003c\/td\u003e\n\u003ctd\u003eDeep learning inference library for optimized AI applications\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":53781750415687,"sku":"49780","price":3949.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0855\/3336\/0455\/files\/nvidia-l4-4_1.webp?v=1777042305"},{"product_id":"nvidia-gpu-a100-40gb","title":"NVIDIA GPU A100 40GB","description":"\u003cp\u003eThe A100 PCIe 40 GB is a professional graphics card by NVIDIA, launched on June 22nd, 2020. Built on the 7 nm process, and based on the GA100 graphics processor, the card does not support DirectX. Since A100 PCIe 40 GB does not support DirectX 11 or DirectX 12, it might not be able to run all the latest games. The GA100 graphics processor is a large chip with a die area of 826 mm² and 54,200 million transistors. It features 6912 shading units, 432 texture mapping units, and 160 ROPs. Also included are 432 tensor cores which help improve the speed of machine learning applications. NVIDIA has paired 40 GB HBM2e memory with the A100 PCIe 40 GB, which are connected using a 5120-bit memory interface. The GPU is operating at a frequency of 765 MHz, which can be boosted up to 1410 MHz, memory is running at 1215 MHz.\u003cbr\u003e Being a dual-slot card, the NVIDIA A100 PCIe 40 GB draws power from an 8-pin EPS power connector, with power draw rated at 250 W maximum. This device has no display connectivity, as it is not designed to have monitors connected to it. A100 PCIe 40 GB is connected to the rest of the system using a PCI-Express 4.0 x16 interface. 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