{"title":"GPU","description":null,"products":[{"product_id":"729851-b21","title":"HPE Nvidia Grid K2 DW 8GB Dual GPU PCI-e Graphics Accelerator (732635-001) | 729851-B21","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e \u003cp\u003eThe HPE NVIDIA GRID K2 DW 8GB Dual GPU PCIe Graphics Accelerator is a professional graphics card designed for virtual desktop infrastructure (VDI) and remote desktop services (RDS) environments. This card is built with the Kepler architecture and features 8GB of GDDR5 memory, 3072 CUDA cores, and 2 physical GPUs.\u003c\/p\u003e\n\u003cp\u003eThe Quadro GRID K2 is designed to provide high-performance graphics acceleration to multiple virtual desktops, making it ideal for applications that require intensive graphical rendering such as 3D modeling, CAD, and scientific visualization. The card can support up to 16 simultaneous users, each with a dedicated graphics engine, allowing for smooth and responsive desktop experiences.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706243661909,"sku":"729851-B21","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/4506669744213_1.resize-low.jpg?v=1668204268"},{"product_id":"730872-b21","title":"Nvidia Quadro K5000 PCI-E Graphics Adapter | 730872-B21","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cp\u003eNVIDIA Quadro K5000 PCI-E Graphics Adapter\u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706243694677,"sku":"730872-B21","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/4506669776981_1.resize-low.jpg?v=1668204271"},{"product_id":"730874-b21","title":"Nvidia Quadro K6000 PCI-E Graphics Adapter | 730874-B21","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cp\u003eNVIDIA Quadro K6000 PCI-E Graphics Adapter\u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706243727445,"sku":"730874-B21","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/4506669809749_1.resize-low.jpg?v=1668204271"},{"product_id":"753958-b21","title":"Nvidia Grid K2 Reverse Air Flow Dual GPU PCIe Graphics Accelerator | 753958-B21","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cul\u003e\n\u003cli\u003eGRID K2\u003c\/li\u003e\n\u003cli\u003e6GB GDDR5\u003c\/li\u003e\n\u003cli\u003ePCI Express\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eThe NVIDIA Accelerators family improves computational time which can dramatically reduce compute time for parallel applications, offering quicker time to solutions.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706243760213,"sku":"753958-B21","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/4506669842517_1.resize-low.jpg?v=1668204271"},{"product_id":"753959-b21","title":"Nvidia Quadro K2000 PCIe Graphics Adapter | 753959-B21","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cp\u003eNVIDIA Quadro K2000 PCIe Graphics Adapter\u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706243825749,"sku":"753959-B21","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/4506669875285_1.resize-low.jpg?v=1668204272"},{"product_id":"753960-b21","title":"HPE Nvidia Tesla K40C DW 12GB Computational Accelerator (766915-001) | 753960-B21","description":"\u003cdiv class=\"product-section container jc-between-center is-flex-row\"\u003e\n  \u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n  \u003cp\u003eNVIDIA Tesla K40C Graphics Accelerator board - Requires two PCIe3 x16 slot - Has 12GB GDDR5 memory with 288GB\/sec bandwidth, 2880 CUDA (Compute Unified Device Architecture) cores, and integrated fan\u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706243858517,"sku":"753960-B21","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/4506669908053_1.resize-low.jpg?v=1668204274"},{"product_id":"787006-b21","title":"HPE ProLiant ML110 (G9) GPU Supporting Holder Kit (791711-001) | 787006-B21","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cp\u003e\u003cb\u003ePN:\u003c\/b\u003e 787006-B21 - 791711-001\u003c\/p\u003e\n\u003cp\u003eWhen you install the HPE NVIDIA Quadro K4200 Graphics Accelerator - J0G90A - 783875-00 into the ML110 Tower Server. You will need the \u003cem\u003eNeeds HP ML110 Gen9 GPU Supporting Holder Kit (791711-001). K4200 (secure the captive screw of the supporting holder to the system board) . Before installing this one. You have to remove the system board mounting screw and use it on the GPU card holder. \u003c\/em\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706243989589,"sku":"787006-B21","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/791711-001-GPU-holder-ml110-gen9.jpg?v=1680216298"},{"product_id":"b3m66a","title":"Nvidia Tesla K10 Dual GPU PCIe Computational Accelerator | B3M66A","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cp\u003eNVIDIA Tesla K10 Dual GPU PCIe Computational Accelerator\u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706244218965,"sku":"B3M66A","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/4506670301269_1.resize-low.jpg?v=1668204278"},{"product_id":"c1p87a","title":"Intel Xeon Phi 5110P Coprocessor | C1P87A","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cp\u003eIntel Xeon Phi 5110P CoProcessor\u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706244251733,"sku":"C1P87A","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/4506670334037_1.resize-low.jpg?v=1668204279"},{"product_id":"c7s14a","title":"Nvidia Tesla K20 5 Gb Computational Accelerator | C7S14A","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cp\u003eNVIDIA Tesla K20 5 GB Computational Accelerator\u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706244317269,"sku":"C7S14A","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/4506670399573_1.resize-low.jpg?v=1668204279"},{"product_id":"c7s15a","title":"Nvidia Tesla K20X 6 Gb Computational Accelerator | C7S15A","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cp\u003eNVIDIA Tesla K20X 6 GB Computational Accelerator\u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706244415573,"sku":"C7S15A","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/C7S15A.jpg?v=1669854342"},{"product_id":"e2m34a","title":"Intel Xeon Phi 7120P (16Gb\/300W) Coprocessor | E2M34A","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cp\u003eIntel Xeon Phi 7120P (16GB\/300W) CoProcessor\u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706244546645,"sku":"E2M34A","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/4506670497877_1.resize-low.jpg?v=1668204282"},{"product_id":"e5v47a","title":"Nvidia Tesla K10 Rev B Dual GPU PCIe Computational Accelerator | E5V47A","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cp\u003eNVIDIA Tesla K10 Rev B Dual GPU PCIe Computational Accelerator\u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706244579413,"sku":"E5V47A","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/4506670530645_1.resize-low.jpg?v=1668204283"},{"product_id":"f1r08a","title":"HPE Nvidia Tesla K40 12 GB Computational Accelerator (747401-001) | F1R08A","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e \u003cp\u003e NVIDIA Tesla K40 12GB Module - 2880 CUDA (Compute Unified Device Architecture) cores \u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706244612181,"sku":"F1R08A","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/4506670563413_1.resize-low.jpg?v=1668204283"},{"product_id":"j0g89a","title":"HPE Nvidia Quadro K2200 SW 4GB PCI-e 2.0X16 68W GPU (J0G89A) | 765148-002","description":"\u003cdiv class=\"product-section container jc-between-center is-flex-row\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003chr\u003e\n  \u003cdiv class=\"eight medium-down--one-whole-NG \"\u003e\n\u003cb\u003eFEATURES\u003c\/b\u003e \n\u003cul class=\"margin-empty margin-bottom\"\u003e\n\u003cli\u003eTwo DisplayPort 1.2 Connectors \u003c\/li\u003e\n\u003cli\u003eDisplayPort with Audio \u003c\/li\u003e\n\u003cli\u003eDVI-I Dual-Link Connector \u003c\/li\u003e\n\u003cli\u003eVGA Support 1 \u003c\/li\u003e\n\u003cli\u003eNVIDIA nView ™ Desktop\u003cbr\u003e\u0026gt; Management Software\u003cbr\u003e\u0026gt; Compatibility\u003c\/li\u003e\n\u003cli\u003eHDCP Support \u003c\/li\u003e\n\u003cli\u003eNVIDIA Mosaic \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"eight medium-down--one-whole-NG \"\u003e\n\u003chr class=\"is-hidden-mobile-only\"\u003e\n\u003cb\u003eSPECIFICATIONS\u003c\/b\u003e\n\u003cul class=\"margin-empty margin-bottom\"\u003e\n\u003cli\u003eGPU Memory 4 GB GDDR5 \u003c\/li\u003e\n\u003cli\u003eMemory Interface 128-bit \u003c\/li\u003e\n\u003cli\u003eMemory Bandwidth 80.0 GB\/s \u003c\/li\u003e\n\u003cli\u003eNVIDIA CUDA Cores 640 \u003c\/li\u003e\n\u003cli\u003eSystem Interface PCI Express 2.0 x16 \u003c\/li\u003e\n\u003cli\u003eMax Power Consumption 68 W \u003c\/li\u003e\n\u003cli\u003eThermal Solution Ultra-Quiet Active Fansink\u003c\/li\u003e\n\u003cli\u003eForm Factor 4.376” H × 7.97” L, Single Slot, Full Height\u003c\/li\u003e\n\u003cli\u003eDisplay Connectors DVI-I DL + 2x DP 1.2 \u003c\/li\u003e\n\u003cli\u003eMax Simultaneous Displays 3 Direct, 4 DP 1.2 Multi-Stream\u003c\/li\u003e\n\u003cli\u003eMax DP 1.2 Resolution 3840 x 2160 at 60 Hz \u003c\/li\u003e\n\u003cli\u003eMax DVI-I DL Resolution 2560 × 1600 at 60 Hz \u003c\/li\u003e\n\u003cli\u003eMax DVI-I SL Resolution 1920 × 1200 at 60 Hz \u003c\/li\u003e\n\u003cli\u003eMax VGA Resolution 2048 × 1536 at 85 Hz \u003c\/li\u003e\n\u003cli\u003eGraphics APIs Shader Model 5.0,\u003cbr\u003eOpenGL 4.53 ,\u003cbr\u003eDirectX 11.24 ,\u003cbr\u003eVulkan 1.03 \u003c\/li\u003e\n\u003cli\u003eCompute APIs CUDA, DirectCompute, OpenCL™ \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n    \u003c\/div\u003e\n\u003chr\u003e\n    \u003cdiv class=\"product-default-container\"\u003e\n\n\u003cp\u003eThe NVIDIA Quadro K2200 delivers exceptional power-efficient 3D application performance. 4 GB of GDDR5 GPU memory with fast bandwidth enables you to create large, complex models, and a flexible single-slot form factor makes it compatible with even the most space and power-constrained chassis. Plus, an all-new display engine drives up to four displays with DisplayPort 1.2 support for ultra-high resolutions up to 3840x2160 @ 60 Hz with 30-bit color.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706244644949,"sku":"765148-002","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/4506670596181_1.resize-low.jpg?v=1668204284"},{"product_id":"j0g90a","title":"HPE Nvidia Quadro K4200 Graphics Accelerator (J0G90A) | 783875-001","description":"\u003cdiv class=\"product-section container jc-between-center is-flex-row\"\u003e\n  \u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003chr\u003e\n        \u003cdiv class=\"eight medium-down--one-whole-NG \"\u003e\n\u003cb\u003eFEATURES\u003c\/b\u003e\n\u003cul class=\"margin-empty margin-bottom\"\u003e\n\u003cli\u003eTwo DisplayPort 1.2 Connectors \u003c\/li\u003e\n\u003cli\u003eDisplayPort with Audio \u003c\/li\u003e\n\u003cli\u003eDVI-I Dual-Link Connector \u003c\/li\u003e\n\u003cli\u003eVGA Support 1 \u003c\/li\u003e\n\u003cli\u003e3D Stereo Support 1 \u003c\/li\u003e\n\u003cli\u003eHD SDI Capture\/Output Compatibility\u003c\/li\u003e\n\u003cli\u003eNVIDIA GPUDirect ™ Support \u003c\/li\u003e\n\u003cli\u003eQuadro Sync Compatibility \u003c\/li\u003e\n\u003cli\u003eStereo Connector \u003c\/li\u003e\n\u003cli\u003eNVIDIA nView ™ Desktop Management Software Compatibility\u003c\/li\u003e\n\u003cli\u003eHDCP Support \u003c\/li\u003e\n\u003cli\u003eNVIDIA Mosaic 2 \u003c\/li\u003e\n\u003c\/ul\u003e\n          \u003c\/div\u003e\n        \u003cdiv class=\"eight medium-down--one-whole-NG \"\u003e\n          \u003chr class=\"is-hidden-mobile-only\"\u003e\n\n\u003cb\u003eSPECIFICATIONS \u003c\/b\u003e\n\n\u003cul class=\"margin-empty margin-bottom\"\u003e\n\u003cli\u003eGPU Memory 4 GB GDDR5 \u003c\/li\u003e\n\u003cli\u003eMemory Interface 256-bit \u003c\/li\u003e\n\u003cli\u003eMemory Bandwidth 173.0 GB\/s \u003c\/li\u003e\n\u003cli\u003eNVIDIA CUDA ® Cores 1344 \u003c\/li\u003e\n\u003cli\u003eSystem Interface PCI Express 2.0 x16 \u003c\/li\u003e\n\u003cli\u003eMax Power Consumption 108 W \u003c\/li\u003e\n\u003cli\u003eThermal Solution Ultra-Quiet Active Fansink\u003c\/li\u003e\n\u003cli\u003eForm Factor 4.376” H × 9.50” L, Single Slot, Full Height\u003c\/li\u003e\n\u003cli\u003eDisplay Connectors DVI-I DL + 2x DP 1.2 \u003c\/li\u003e\n\u003cli\u003eMax Simultaneous Displays 3 direct, 4 DP 1.2 Multi-Stream\u003c\/li\u003e\n\u003cli\u003eMax DP 1.2 Resolution 3840 × 2160 at 60 Hz \u003c\/li\u003e\n\u003cli\u003eMax DVI-I DL Resolution 2560 × 1600 at 60 Hz \u003c\/li\u003e\n\u003cli\u003eMax DVI-I SL Resolution 1920 × 1200 at 60 Hz \u003c\/li\u003e\n\u003cli\u003eMax VGA Resolution 2048 × 1536 at 85 Hz \u003c\/li\u003e\n\u003cli\u003eGraphics APIs Shader Model 5.0, OpenGL 4.53 , DirectX 11.24 \u003c\/li\u003e\n\u003cli\u003eCompute APIs CUDA, DirectCompute, OpenCL™ \u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003c\/div\u003e\n    \u003c\/div\u003e\n  \u003chr\u003e\n\u003cdiv class=\"product-section container jc-between-center is-flex-row\"\u003e\n        \u003cdiv class=\"eight medium-down--one-whole-NG \"\u003e\n  \u003cp\u003eThe NVIDIA Quadro K4200 delivers incredible 3D application performance and capability, allowing you to take advantage of dual copy-engines for seamless data movement between GPU and system memory—all in a flexible, single-slot form factor. 4 GB of GDDR5 GPU memory with ultra-fast bandwidth is ideal for creating and rendering large, complex models. An all-new display engine drives up to four displays with DisplayPort 1.2 support for ultra-high resolutions like 3840x2160 @ 60 Hz with 30-bit color. Synchronize multiple displays across systems with the Quadro Sync board. Accelerate data transfer with external I\/O boards through GPUDirect ™ for Video and dual-copy engines.\u003c\/p\u003e\n\u003c\/div\u003e\n        \u003cdiv class=\"eight medium-down--one-whole-NG \"\u003e\n\u003chr class=\"is-hidden-mobile-only\"\u003e\n\u003cp\u003eQuadro cards are certified with a broad range of sophisticated professional applications, tested by leading workstation manufacturers, and backed by a global team of support specialists, giving you the peace of mind to focus on doing your best work. Whether you’re developing revolutionary products or telling spectacularly vivid visual stories, Quadro gives you the performance to do it brilliantly.\u003c\/p\u003e\n\u003c\/div\u003e\n    \u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706244677717,"sku":"783875-001","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/4506670628949_1.resize-low.jpg?v=1668204287"},{"product_id":"j0g95a","title":"HPE Nvidia Tesla K80 Dual Computational Accelerator GPU (797637-001) | J0G95A","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e \u003cp\u003eNvidia Tesla K80 Dual GPU Module \u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706244743253,"sku":"J0G95A","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/4506670694485_1.resize-low.jpg?v=1668204287"},{"product_id":"j0h10a","title":"HPE Amd Firepro W7100 8Gb 4 Port SW 75W Accelerator Kit (803279-001) | J0H10A","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cp\u003eAMD FirePro W7100 8GB GDDR5 memory - Graphics Core Next (GCN) technology for GPU compute and 3D workloads, supports 4 native displays with adaptive-sync, PCIE 3.0x16 compliant 75 Watt Performance of the HPE AMD FirePro W7100 GPU \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e Single Width \u003c\/li\u003e\n\u003cli\u003e 1792 STREAM processors (28 compute units) \u003c\/li\u003e\n\u003cli\u003e 2.53 TFlops of double-precision peak performance \u003c\/li\u003e\n\u003cli\u003e 5.07 Tflops of single-precision peak performance \u003c\/li\u003e\n\u003cli\u003e GDDR5 memory optimizes performance and reduces data transfers by keeping large data sets in 8 GB of local memory \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e  The high speed PCIe Gen 3.0 data transfer maximizes bandwidth between the HPE ProLiant server and the FirePro GPU. \u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706244776021,"sku":"J0H10A","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/J0H10A.jpg?v=1669854507"},{"product_id":"j0x21a","title":"HPE Nvidia Tesla M60 Dual GPU PCIe Graphics Accelerator | J0X21A","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cp\u003eHPE NVIDIA Tesla M60 Dual GPU PCIe Graphics Accelerator\u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706244808789,"sku":"J0X21A","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/4506670760021_1.resize-low.jpg?v=1668204291"},{"product_id":"m3x68a","title":"HPE AMD Firepro S7150X2 Accelerator Kit | M3X68A","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cp\u003e 820179-001 PCA AMD FirePro S7150x2 accelerator kit \u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706244841557,"sku":"M3X68A","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/4506670792789_1.resize-low.jpg?v=1668204292"},{"product_id":"m9r60a","title":"HPE Nvidia Quadro M5000 DW 8GB 4P PCI-e 3.0X16 Graphics Card (826220-001) | M9R60A","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e \u003cp\u003e The NVIDIA Quadro M5000 is a professional-grade graphics processing unit (GPU) designed for use in demanding applications such as 3D modeling, animation, and scientific simulations. It features 2048 CUDA cores and 8GB of GDDR5 memory, providing high-performance computing capabilities for complex tasks. The Quadro M5000 is built on NVIDIA's Maxwell architecture, which provides improved power efficiency and performance per watt compared to previous generations. \u003c\/p\u003e \u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706244874325,"sku":"M9R60A","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/NVIDIA-Quadro-M5000-M9R60A.jpg?v=1679593264"},{"product_id":"m9x58a","title":"HPE Nvidia Quadro M4000 SW 8GB 4P PCI-e 3.0X16 Accelerator (841576-001) | M9X58A","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e \n\u003cp\u003eNVIDIA Quadro M4000 graphics accelerator board - Requires one PCIe (Gen 3) x16 slot - Has 8-GB GDDR5 memory with 192GB\/sec bandwidth, 1664 CUDA (Compute Unified Device Architecture) cores, and integrated fan - Has four DP 1.2 ports \u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706244907093,"sku":"M9X58A","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/4506670858325_1.resize-low.jpg?v=1668204292"},{"product_id":"p11529-b21","title":"HPE ProLiant ML110 (G10) GPU Fhfl Holder Kit | P11529-B21","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cp\u003eIf the full-length GPU is in slot 4, you must add the GPU \u003cspan\u003eholder . \u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706244939861,"sku":"P11529-B21","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/P11529-B21-GPU_holder.jpg?v=1681229099"},{"product_id":"p8y48a","title":"HPE Nvidia Quadro M2000 4 Port SW 4GB 75W GPU (855180-001) | P8Y48A","description":"\u003cdiv class=\"product-section container jc-between-center is-flex-row\"\u003e\n  \u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cdiv class=\"eight medium-down--one-whole-NG\"\u003e\n\u003cp\u003eFEATURES\u003c\/p\u003e\n\u003cul class=\"margin-empty margin-bottom\"\u003e\n\u003cli\u003eFour DisplayPort 1.2 Connectors\u003c\/li\u003e\n\u003cli\u003eDisplayPort with Audio\u003c\/li\u003e\n\u003cli\u003eNVIDIA nView ™ Desktop\u003c\/li\u003e\n\u003cli\u003e\u0026gt; Management Software\u003c\/li\u003e\n\u003cli\u003e\u0026gt; Compatibility\u003c\/li\u003e\n\u003cli\u003eHDCP Support\u003c\/li\u003e\n\u003cli\u003eNVIDIA Mosaic\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"eight medium-down--one-whole-NG\"\u003e\n\u003chr class=\"is-hidden-mobile-only\"\u003e\n\u003cp\u003eSPECIFICATIONS\u003c\/p\u003e\n\u003cul class=\"margin-empty margin-bottom\"\u003e\n\u003cli\u003eGPU Memory 4 GB GDDR5\u003c\/li\u003e\n\u003cli\u003eMemory Interface 128-bit\u003c\/li\u003e\n\u003cli\u003eMemory Bandwidth Up to 106 GB\/s\u003c\/li\u003e\n\u003cli\u003eNVIDIA CUDA Cores 768\u003c\/li\u003e\n\u003cli\u003eSystem Interface PCI Express 3.0 x16\u003c\/li\u003e\n\u003cli\u003eMax Power Consumption 75 W\u003c\/li\u003e\n\u003cli\u003eThermal Solution Active\u003c\/li\u003e\n\u003cli\u003eForm Factor 4.376” H x 6.6 L Single Slot\u003c\/li\u003e\n\u003cli\u003eDisplay Connectors DP 1.2 (4)\u003c\/li\u003e\n\u003cli\u003eMax Simultaneous Displays 4 DP 1.2 Multi-Stream\u003c\/li\u003e\n\u003cli\u003eMax DP 1.2 Resolution 4096 x 2160 @ 60Hz\u003c\/li\u003e\n\u003cli\u003eGraphics APIs DirectX 12 2 \u003cbr\u003eOpenGL 4.53\u003cbr\u003eShader Model 5.0\u003cbr\u003eVulkan 1.03\u003c\/li\u003e\n\u003cli\u003eCompute APIs CUDA, DirectCompute, OpenCL™\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n\u003cdiv class=\"product-default-container\"\u003e\n\n\u003cp\u003eDelivering incredible creative experiences across a broad range of professional 3D applications. This advanced graphics card features an NVIDIA Maxwell ™ - based GPU, plus 4 GB of ultra-fast on-board memory and the power to drive four 4K displays natively. This makes it an excellent choice for accelerating product development and content creation workflows that demand fluid interactivity with complex models and scenes. Creative professionals can tap into this increased performance—as well as hardware HEVC encode and decode engines—to accelerate both creation and playback of HEVC content.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706244972629,"sku":"855180-001","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/4506670923861_1.resize-low.jpg?v=1668204294"},{"product_id":"q0j62c","title":"HPE Nvidia Tesla M10 Quad 225W DW GPU Module (870046-001) | Q0J62C","description":"\u003cdiv class=\"product-section container jc-between-center is-flex-row\"\u003e\u003cp\u003ePCA NVIDIA Tesla M10 quad graphics processing unit (GPU)\u003c\/p\u003e\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706245005397,"sku":"Q0J62C","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/tesla-m10-Q0J62C-870046-001.jpg?v=1681427379"},{"product_id":"q0v77a","title":"HPE Nvidia Quadro P2000 75W Sw 5Gb PCI-E 3.0X16 4 Port 75W Accelerator | Q0V77A 871969-001","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cp\u003e\u003cb\u003ePN:\u003c\/b\u003e Q0V77A - 871969-001\u003c\/p\u003e\n\u003cp\u003e\u003cspan id=\"ctl00_BodyContentPlaceHolder_rptRoot_ctl00_gvProGeneral_ctl00_lbldesc\"\u003eNVIDIA Quadro P2000 GPU module - 3.0 TFLOPS, GPU memory 5GB GDDR5, memory bandwidth 140 GB\/s, PCI Express 3.0 x16 \u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706245103701,"sku":"Q0V77A","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/Q0V77A-P2000-871969-001-GPU.jpg?v=1680641539"},{"product_id":"q0v78a","title":"HPE Nvidia Quadro P4000 DW 8GB 105W PCI-e 3.0X16 Graphics Accelerator (871970-001) | Q0V78A","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e \u003cp\u003eNVIDIA Quadro P4000 GPU Module - 5.3 TFLOPS,GPU memory 8GB GDDR5,memory bandwidth 243 GB\/s,PCI Express 3.0 x16 \u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706245136469,"sku":"Q0V78A","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/4506671087701_1.resize-low.jpg?v=1668204298"},{"product_id":"q0v79a","title":"HPE Nvidia Tesla P4 8Gb Computational Accelerator | Q0V79A","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cp\u003eHPE NVIDIA Tesla P4 8GB Computational Accelerator\u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706245169237,"sku":"Q0V79A","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/4506671120469_1.resize-low.jpg?v=1668204299"},{"product_id":"q0v80c","title":"HPE Nvidia Tesla P40 24Gb Sw 250W Computational Accelerator | Q0V80C","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cp\u003e\u003cb\u003ePN:\u003c\/b\u003e Q0V80C - 872323-001\u003cbr\u003eNVIDIA Tesla P40 24GB module - 12 TFLOPS, GPU memory 24GB GDDR5,memory bandwidth 364GB\/s\u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706245202005,"sku":"Q0V80C","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/Q0V80C.jpg?v=1669854601"},{"product_id":"q1k36c","title":"HPE AMD Radeon Pro Wx4100 Graphics Accelerator | Q1K36C","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cp\u003eHPE AMD Radeon Pro WX4100 Graphics Accelerator\u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706245234773,"sku":"Q1K36C","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/Q1K36C.jpg?v=1669854662"},{"product_id":"q1k37a","title":"HPE AMD Radeon Pro Wx7100 Graphics Accelerator | Q1K37A","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cp\u003eHPE AMD Radeon Pro WX7100 Graphics Accelerator\u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706245267541,"sku":"Q1K37A","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/4506671218773_1.resize-low.jpg?v=1668204302"},{"product_id":"q1k38c","title":"HPE AMD Radeon Instinct Mi25 Graphics Accelerator | Q1K38C","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cp\u003eHPE AMD Radeon Instinct MI25 Graphics Accelerator\u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706245333077,"sku":"Q1K38C","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/4506671284309_1.resize-low.jpg?v=1668204303"},{"product_id":"q1p47c","title":"HPE AMD Radeon Pro Wx2100 35W SW 2GB GPU (878794-001) | Q1P47C","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e \u003chr\u003e\n\u003cb\u003eHPE AMD Radeon Pro WX2100 GPU \u003c\/b\u003e\n\n\u003cul class=\"margin-empty margin-bottom\"\u003e\n\u003cli\u003eSTREAM processors: 512 (8 compute units)\u003c\/li\u003e\n\u003cli\u003eDP (peak): 78.02 Gflops\u003c\/li\u003e\n\u003cli\u003eSP (peak): 1.25 TFlops\u003c\/li\u003e\n\u003cli\u003eTotal Dedicated memory: 2GB\u003c\/li\u003e\n\u003cli\u003eMemory Bandwidth: 48 GB\/s\u003c\/li\u003e\n\u003cli\u003ePower Consumption: 35W TDP\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr\u003e\n\u003cb\u003eHPE AMD Radeon Pro WX2100 Graphics Accelerator \u003c\/b\u003e\n\u003cul class=\"margin-empty margin-bottom\"\u003e\n\u003cli\u003eGen9 ProLiant supported servers: RHEL7.x, SLES12 SPx\u003c\/li\u003e\n\u003cli\u003eGen10 ProLiant supported servers: RHEL7.4, Windows Server 2016\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003chr\u003e\n\u003cb\u003eDisplayPort™\u003c\/b\u003e\n\u003cul class=\"margin-empty margin-bottom\"\u003e\n\u003cli\u003e1x DisplayPort 1.4,\u003c\/li\u003e\n\u003cli\u003e2x Mini-DisplayPort 1.4\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n  \u003cdiv class=\"product-default-container\"\u003e\n\u003cp\u003eThe AMD accelerators provide all of the standard benefits of GPU computing while enabling maximum reliability and tight integration with system monitoring and management tools such as HPE Insight Cluster Management Utility. The HPE accelerator ecosystem includes HPE Cluster Platform specification and qualification, HPE-supported accelerator-aware cluster software, and also third-party accelerator-aware cluster software for AMD GPUs on HPE ProLiant Servers. In particular, the HPE Insight Cluster Management Utility (CMU) will monitor and display AMD GPU health sensors such as temperature. Insight CMU is integrated with popular schedulers such as Adaptive Moab, Altair PBS Professional, UNIVA Grid Engine and IBM Platform LSF - all of which have the capability of scheduling jobs based on GPU requirements.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706245365845,"sku":"Q1P47C","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/4506671317077_1.resize-low.jpg?v=1668204304"},{"product_id":"q7g75c","title":"HPE Nvidia Quadro P2200 Graphics Accelerator | Q7G75C","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cp\u003eHPE NVIDIA Quadro P2200 Graphics Accelerator\u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706245398613,"sku":"Q7G75C","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/Q7G75C.jpg?v=1669854753"},{"product_id":"q9b37c","title":"Intel Arria 10 Gx Fpga Accelerator | Q9B37C","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cp\u003eIntel Arria 10 GX FPGA Accelerator\u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706245431381,"sku":"Q9B37C","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/4506671382613_1.resize-low.jpg?v=1668204305"},{"product_id":"q9u36c","title":"HPE Nvidia Tesla V100 PCI-e 32GB Computational Accelerator | Q9U36C","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e \u003cp\u003eP05913-001  HPE NVIDIA Tesla V100 PCIe 32GB\u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706245464149,"sku":"Q9U36C","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/Q9U36C.jpg?v=1669854842"},{"product_id":"r0x82c","title":"HPE Intel Fpga Pac D5005 Dw Accelerator | R0X82C","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cp\u003eP09570-001 - HPE Intel FPGA PAC D5005 Accelerator\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIntel FPGA accelerators provide faster time to solution with their ability to accelerate specific workloads, such as database queries, Big Data analytics, and financial services industry (FSI) back-testing simulations.\u003c\/li\u003e\n\u003cli\u003eEliminate in-house application development and maintenance with the availability of third party solutions, allowing users to focus on problem solving and innovation instead of programming.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706245496917,"sku":"R0X82C","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/R0X82C.jpg?v=1669854890"},{"product_id":"r0z45c","title":"HPE Nvidia Quadro RTX 6000 250W 24GB DW Passive GPU (P11377-001) | R0Z45C","description":"\u003cdiv class=\"product-section container jc-between-center is-flex-row\"\u003e\n   \u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e \u003chr\u003e\n        \u003cdiv class=\"eight medium-down--one-whole-NG \"\u003e\n         \n    \u003cul\u003e\n      \u003cli\u003eRTX 6000 PASSIVE\u003c\/li\u003e\n      \u003cli\u003eDouble Wide\u003c\/li\u003e\n      \u003cli\u003ePCIe 3.0x16\u003c\/li\u003e\n      \u003cli\u003e250W\u003c\/li\u003e\n      \u003cli\u003e24GB\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706245529685,"sku":"R0Z45C","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/R0Z45C.jpg?v=1669854937"},{"product_id":"r1f95c","title":"HPE Nvidia Quadro Rtx 4000 125W SW 8GB Graphics Accelerator (P11603-001) | R1F95C","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e \n\u003chr\u003e\n\u003cul\u003e\n\u003cli\u003ePeak Single Precision Performance 7.1 TFlops \u003c\/li\u003e\n\u003cli\u003eNumber of accelerators per card 1 \u003c\/li\u003e\n\u003cli\u003eCores 2304 \u003c\/li\u003e\n\u003cli\u003eMemory size per board 8 GB GDDR6 \u003c\/li\u003e\n\u003cli\u003eMemory bandwidth for board 416 GB\/s \u003c\/li\u003e\n\u003cli\u003eArchitecture features Real-time ray tracing accelerated by up to 25x that of the previous P6000. Features tensor cores that accelerate DL training and inferencing. Faster simulation and rasterization with Turing streaming multiprocessor. \u003c\/li\u003e\n\u003cli\u003eSystem Compatible with HPE ProLiant DL360 Gen10, DL380 Gen10 and ML350 Gen10 servers. \u003c\/li\u003e\n\u003cli\u003eProduct Dimensions (metric) 1.73 x 24.13 x 11.1 cm \u003c\/li\u003e\n\u003cli\u003eWeight 0.79 kg \u003c\/li\u003e\n\u003cli\u003eDisplay Connectors 3xDP 1.4, 1x USB-C \u003c\/li\u003e\n\u003cli\u003eForm Factor 4.4” H x 9.5” L, Single Slot \u003c\/li\u003e\n\u003cli\u003eSystem Interface PCI Express 3.0 x16 \u003c\/li\u003e\n\u003cli\u003ePower Consumption Total board power: 160 W \u003cbr\u003eTotal graphics power: 125 W \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003cb\u003eIncreased Performance to Solve Problems Faster\u003c\/b\u003e \u003cp\u003eThe NVIDIA accelerators for HPE ProLiant servers improve computational performance, dramatically reducing the completion time for parallel tasks, offering quicker time to solutions. \u003cbr\u003eCo-locating the NVIDIA Quadro® or NVIDIA GRID GPUs with computational servers, large data sets can be shared, dramatically improving display refresh rates. \u003cbr\u003eThese GPUs are specifically designed to enable rich graphics in virtualized environments. Hewlett Packard Enterprise can satisfy NVIDIA GRID software via HPE Complete. \u003cbr\u003eNVIDIA accelerators can be configured and monitored by HPE Insight Cluster Management Utility (CMU). HPE Insight CMU monitors and displays GPU health and temperature, as well as installs and provisions the GPU drivers and CUDA software. \u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706245562453,"sku":"R1F95C","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/4506671513685_1.resize-low.jpg?v=1668204310"},{"product_id":"r1f96c","title":"HPE Nvidia Quadro Rtx X16 2-Way 2-Slot Nvlink Bridge | R1F96C","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cp\u003ePN: R1F96C - P11689-001\u003cbr\u003eNvidia Quadro RTX NVLink Bridge\u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706245595221,"sku":"R1F96C","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/R1F96C.jpg?v=1669854997"},{"product_id":"r1f97c","title":"HPE Nvidia Quadro Rtx 8000 260W Dw Graphics Accelerator | R1F97C","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cp\u003e\u003cb\u003ePN:\u003c\/b\u003e R1F97C - P11743-001\u003cbr\u003eNvidia Quadro RTX8000 Module\u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706245627989,"sku":"R1F97C","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/4506671579221_1.resize-low.jpg?v=1668204312"},{"product_id":"r2u55c","title":"HPE Nvidia Quadro P2200 75W DW PCI-e 3.0X16 Graphics Accelerator (P16021-001) | R2U55C","description":"\u003cdiv class=\"product-section container jc-between-center is-flex-row\"\u003e\u003cp\u003eHPE NVIDIA Quadro P2200 Graphics Accelerator\u003c\/p\u003e\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706245660757,"sku":"R2U55C","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/R2U55C.jpg?v=1669855048"},{"product_id":"r3k70c","title":"HPE Nvidia Quadro P1000 47W Dw PCI-E 3.0X16 Graphics Accelerator | R3K70C","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cp\u003e\u003cb\u003ePN:\u003c\/b\u003e P19324-001 - R3K70C\u003cbr\u003eHPE NVIDIA Quadro P1000 Graphics Accelerator\u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706245693525,"sku":"R3K70C","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/P19324-001-R3K70C-p1000-nvidia.jpg?v=1680801843"},{"product_id":"q2s42a","title":"HPE Nvidia Tesla P100 PCI-e 12GB Computational Accelerator (877646-001) | Q2S42A","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e \u003cp\u003e  NVIDIA Tesla P100 12GB computational accelerator module - 9.3 TFLOPS single-precision, NVIDIA CUDA cores 3584, PCIe Full Height\/Length \u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706245726293,"sku":"Q2S42A","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/4506671677525_1.resize-low.jpg?v=1668204314"},{"product_id":"m3x67a","title":"HPE Nvidia Tesla M60 Reverse Air Flow Dual 300W DW 16GB GPU PCI-e Graphics Accelerator | M3X67A","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n  \u003cul class=\"margin-empty margin-bottom\"\u003e\n\u003cli\u003e\n\u003cb\u003eVirtualization Use Case\u003c\/b\u003e: Performance-Optimized Graphics Virtualization\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eGPU Architecture\u003c\/b\u003e: NVIDIA Maxwell ™\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eGPUs per Board\u003c\/b\u003e: 2\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMax User per Board\u003c\/b\u003e: 32 (16 per GPU)\u003c\/li\u003e\n\u003cli\u003eNVIDIA CUDA ® Cores 4096 NVIDIA CUDA Cores (2048 per GPU)\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eGPU Memory\u003c\/b\u003e: 16 GB of GDDR5 Memory (8 per GPU)\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eH.264 1080p30 streams\u003c\/b\u003e: 36\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMax Power Consumption\u003c\/b\u003e: 300 W\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eThermal Solution\u003c\/b\u003e: Active\/Passive\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eForm Factor\u003c\/b\u003e: PCIe 3.0 Dual Slot\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003cp\u003eThe NVIDIA Tesla M60 GPU accelerator works with NVIDIA GRID software to provide the industry’s highest user performance for virtualized workstations, desktops, and applications. This solution allows enterprises to virtualize any application—including professional graphics applications—and deliver them out to any device, anywhere. \u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706245955669,"sku":"M3X67A","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/4506671906901_1.resize-low.jpg?v=1668204316"},{"product_id":"p8y46a","title":"HPE Nvidia Tesla M40 24GB Computational Accelerator | P8Y46A","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cul\u003e\n\u003cli\u003eNVIDIA GPU Boost™ delivering up to 7 Teraflops of single-precision performance\u003c\/li\u003e\n\u003cli\u003e24 GB of GDDR5 memory for training large deep learning models\u003c\/li\u003e\n\u003cli\u003eServer-qualified to deliver maximum uptime in the data center\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003cp\u003eDeep learning is redefining what’s possible, from image recognition and natural language processing to neural machine translation and image classification. From early-stage startups to large web service providers, deep learning has become the fundamental building block in delivering amazing solutions for end users. \u003cbr\u003e\u003cbr\u003eDeep learning models typically take days to weeks to train, forcing scientists to make compromises between accuracy and time to deployment. The NVIDIA Tesla M40 GPU accelerator, based on the ultra-efficient NVIDIA Maxwell™ architecture, is designed to deliver the highest single precision performance. Together with its high memory density, this makes the Tesla M40 the world’s fastest accelerator for deep learning training.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706246053973,"sku":"P8Y46A","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/4506672005205_1.resize-low.jpg?v=1668204316"},{"product_id":"q0j62a","title":"HPE Nvidia Tesla M10 Quad GPU Module | Q0J62A","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cp\u003eThe NVIDIA\u003csup\u003e®\u003c\/sup\u003e M10 GPU works with NVIDIA GRID\u003csup\u003e® \u003c\/sup\u003esoftware to deliver the industry's highest user density for virtualized desktops and applications. It supports up to 32 users per board (1GB profile), up to 96 users per server, giving businesses the power to deliver great experiences to all of their employees at an affordable cost.\u003c\/p\u003e\n\u003cdiv\u003e\n\u003cul\u003e\n\u003cli\u003eFour \u003ca href=\"https:\/\/developer.nvidia.com\/maxwell-compute-architecture\" data-mce-href=\"https:\/\/developer.nvidia.com\/maxwell-compute-architecture\"\u003eNVIDIA Maxwell\u003c\/a\u003e\u003csup\u003e™\u003c\/sup\u003e GPUs\u003c\/li\u003e\n\u003cli\u003eUp to 32 users per board\u003c\/li\u003e\n\u003cli\u003e2560 NVIDIA CUDA\u003csup\u003e®\u003c\/sup\u003e cores (640 per GPU)\u003c\/li\u003e\n\u003cli\u003e32 GB of GDDR5 memory (8 per GPU)\u003c\/li\u003e\n\u003cli\u003e28 H.264 1080p30 streams\u003c\/li\u003e\n\u003cli\u003eECC protection for increased reliability\u003c\/li\u003e\n\u003cli\u003eServer optimization to deliver the best throughput in the data center\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv\u003e\u003cdiv\u003e\u003c\/div\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706246086741,"sku":"Q0J62A","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/4506672037973_1.resize-low.jpg?v=1668204318"},{"product_id":"r1f95a","title":"HPE Nvidia Quadro Rtx 4000 Graphics Accelerator | R1F95A","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cp\u003eQuadro is certified with a broad range of sophisticated professional applications, tested by leading workstation manufacturers, and backed by a global team of NVIDIA support specialists so you can focus on doing your best work. Whether you’re developing revolutionary products or telling spectacularly vivid visual stories, do it brilliantly with Quadro performance\u003c\/p\u003e\n\u003cb\u003eFEATURES\u003c\/b\u003e\u003cbr\u003e\u003cul\u003e\n\u003cli\u003eThree DisplayPort 1.4 Connectors\u003c\/li\u003e\n\u003cli\u003eVirtualLink Connector1\u003c\/li\u003e\n\u003cli\u003eDisplayPort with Audio\u003c\/li\u003e\n\u003cli\u003eVGA Support2\u003c\/li\u003e\n\u003cli\u003e3D Stereo Support with Stereo Connector2\u003c\/li\u003e\n\u003cli\u003eNVIDIA GPUDirect™ Support\u003c\/li\u003e\n\u003cli\u003eQuadro Sync II3 Compatibility\u003c\/li\u003e\n\u003cli\u003eNVIDIA nView® Desktop Management Software\u003c\/li\u003e\n\u003cli\u003eHDCP 2.2 Support\u003c\/li\u003e\n\u003cli\u003eNVIDIA Mosaic\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706246119509,"sku":"R1F95A","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/4506672070741_1.resize-low.jpg?v=1668204318"},{"product_id":"730870-b21","title":"HPE Nvidia Quadro K4000 PCI-E Graphics Adapter | 730870-B21","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cp\u003eNVIDIA Quadro K4000 PCI-E Graphics Adapter\u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706246250581,"sku":"730870-B21","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/4506672201813_1.resize-low.jpg?v=1668204321"},{"product_id":"805133-b21","title":"HPE MultiGPU Carrier With 2 Nvidia Tesla M6 8GB GPU FIO Adapter | 805133-B21","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e \u003cp\u003eHPE MultiGPU Carrier with 2 NVIDIA Tesla M6 GPU FIO Adapter\u003c\/p\u003e\n\u003cp\u003e The NVIDIA Tesla M6 Mezzanine is a powerful graphics processing unit (GPU) designed for use in server environments. 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