{"title":"DL380 Gen10 HPE Expansion","description":"","products":[{"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":"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":"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":"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":"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":"r0w29c","title":"HPE Nvidia Tesla T4 16GB 70W SW Computational Accelerator (P09571-001) | R0W29C","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cb\u003eDL380 Gen10 Plus Notes: \u003c\/b\u003e\n\u003cul\u003e\n\u003cli\u003e− If more than one GPU is selected, the GPU SKU numbers must match; Mixing of GPUs is not allowed.\u003c\/li\u003e\n\u003cli\u003e− System memory should be 2x GPU memory.\u003c\/li\u003e\n\u003cli\u003e− This option requires the High Performance Fan Kit (P14608-B21) to be selected.\u003c\/li\u003e\n\u003cli\u003eIf this option is being configured into a 12LFF Model-X or 24SFF Model-X, this rule does not apply as these models already come standard with the High Performance Fans.\u003c\/li\u003e\n\u003cli\u003e− This option requires the selection of the High Performance Heatsink (P27095-B21)\u003c\/li\u003e\n\u003cli\u003e− Max of 8 NVMe Drives allowed for selection with this Graphics Option (All NVMe Drives selected must be below 11W).\u003c\/li\u003e\n\u003cli\u003e− If NVMe Drive is selected with this Graphics Option then it can be populated in front cage only. Please consider this limitation while selecting Drives and Drive Cage.\u003c\/li\u003e\n\u003cli\u003e− This Graphics option and SAS4 Drives cannot be selected together\u003c\/li\u003e\n\u003cli\u003e− Graphics Option and 100Gb or above PCIe Networking\/ Infiniband\/ Smart IO (HW) Cards cannot be selected together.\u003c\/li\u003e\n\u003cli\u003e− Could observe sub-optimal performance if installed in x8 slot.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":31706247266389,"sku":"R0W29C","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/products\/4506673152085_1.resize-low.jpg?v=1668204326"},{"product_id":"hpe-16gb-nvidia-tesla-a2-x8-pci-e-60w-sw-fh-hl-gpu","title":"HPE Nvidia Tesla A2 16GB PCI-e 4.0 x8 60W SW FH\/HL GPU (P51434-001) | R9H23C","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cp\u003eThe NVIDIA A2 Tensor Core GPU provides entry-level inference with low power, a small footprint, and high performance for NVIDIA AI at the edge. Featuring a low-profile PCIe Gen4 card and a low 40-60W configurable thermal design power (TDP) capability, the A2 brings versatile inference acceleration to any server for deployment at scale.\u003c\/p\u003e\n\u003chr\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eModel\u003c\/b\u003e: A2\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eGPU Memory\u003c\/b\u003e: 16 GB GDDR6\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMemory ECC\u003c\/b\u003e: Y\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMemory Bandwidth\u003c\/b\u003e: 200 GB\/sec\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMax Power Consumption\u003c\/b\u003e: 60W\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eGraphic Bus \/ System Interface\u003c\/b\u003e: PCIe Gen4x8\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eInterconnect Bandwidth\u003c\/b\u003e: 32 GB\/sec (PCIe 4.0)\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eSlot Width\u003c\/b\u003e: SW\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eGPU Height \/ Length\u003c\/b\u003e: FHHL\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eAuxiliary Cable\u003c\/b\u003e: N\/A\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eWorkload\u003c\/b\u003e: Inferencing\/Edge\/VDI\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003cb\u003eDL380 Gen10 Plus Notes: \u003c\/b\u003e\n\u003cp\u003e− Requires HPE DL38X Gen10+ PRI\/SEC w\/o Retainer Kit (P38771-B21) \u003cbr\u003e− Requires HPE DL38X Gen10+ Ter w\/o Retainer Kit (P38774-B21) if tertiary riser is selected \u003cbr\u003e− This option requires the High Performance Fan Kit (P14608-B21) to be selected. \u003cbr\u003e− This option requires the High Performance Heat sink (P27095-B21) \u003cbr\u003e− System memory should be 2x GPU memory. \u003cbr\u003e− Max of 8 NVMe drives allowed with this GPU, all NVMe drives must be under 11W \u003cbr\u003e− This GPU and SAS4 drives cannot be selected together. \u003cbr\u003e− This GPU and 40Gb or above Networking\/InfiniBand\/Smart IO adapters cannot be selected together. \u003cbr\u003e− If NVMe Drive is selected with this Graphics Option then it can be populated in front cage only. Please consider this limitation while selecting Drives and Drive Cage. \u003cbr\u003e− This Graphics option and SAS4 Drives cannot be selected together \u003cbr\u003e− Graphics Option and 100Gb or above PCIe Networking\/ Infiniband\/ Smart IO (HW) Cards cannot be selected together.\u003c\/p\u003e\n\u003chr\u003e\n\u003cb\u003eDL360 Gen 11 Notes: \u003c\/b\u003e\n\u003cp\u003e− Can support the GPU adapter with Max. length up to 9.5\" (full length adapters are not supported) at PCIe Slot 1 and Slot 3. There is mechanical interference from the GPU bracket when installing A2 at Slot2.\u003cbr\u003e− Nvidia GPU A2 will be available in all 3 slots (incl. Slot 2) expected in Q4 2023 with new low-profile bracket in the A2 kit.\u003cbr\u003e− Requires high performance fans\u003cbr\u003e− Can be installed at Slot 1 and Slot 3 (if 2 nd processor is selected).\u003cbr\u003e− Max 2x350W CPU, 32x128GB DIMM, and max 10SFF, will need to operated at 20C. Will not be a feasible configuration to support. \u003cbr\u003e− In 8SFF CTO Model, if the Graphics Option is selected with the Processor that is more than 270W, then Maximum of 8\u003cbr\u003eNVMe\/ SAS\/ SATA drives can be selected.\u003cbr\u003e− In EDSFF CTO Model, if the Graphics Option is selected with Processor Wattage is more than 270W, then DLC Module\u003cbr\u003emust be selected.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":45013161214264,"sku":"R9H23C","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/files\/nvidia-tesla-a2-gpu-front.jpg?v=1741736043"},{"product_id":"hpe-nvidia-a100-40gb-dw-250w-gpu-r6b53c","title":"HPE Nvidia A100 40Gb 250W Double-Wide GPU | R6B53C","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cp\u003eThe NVIDIA accelerators for HPE ProLiant servers improve computational performance, dramatically reducing the completion time for parallel tasks, offering quicker time to solutions. Co-locating the NVIDIA Quadro or NVIDIA GRID GPUs with computational servers, large data sets can be shared, dramatically improving display refresh rates. These GPUs are specifically designed to enable rich graphics in virtualized environments.\u003c\/p\u003e \u003chr\u003e\n\u003cul\u003e \u003cli\u003e\n\u003cb\u003eChipset Model\u003c\/b\u003e: A100\u003c\/li\u003e \u003cli\u003e\n\u003cb\u003eStandard Memory\u003c\/b\u003e: 40 GB\u003c\/li\u003e \u003cli\u003e\n\u003cb\u003eHost Interface\u003c\/b\u003e: PCI Express\u003c\/li\u003e \u003cli\u003e\n\u003cb\u003ePower Supply Wattage\u003c\/b\u003e: 250 W\u003c\/li\u003e \u003cli\u003e\n\u003cb\u003eSlot Space Required\u003c\/b\u003e: Dual\u003c\/li\u003e \u003cli\u003e\n\u003cb\u003eForm Factor\u003c\/b\u003e: Plug-in Card\u003c\/li\u003e \u003cli\u003e\n\u003cb\u003eCard Height\u003c\/b\u003e: Full-height\u003c\/li\u003e \u003cli\u003e\n\u003cb\u003eCooler Type\u003c\/b\u003e: Passive Cooler\u003c\/li\u003e \u003c\/ul\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":45382645285176,"sku":"R6B53C","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/files\/A100-pci_707ed139-c8d2-41d2-876a-b7d401802830.jpg?v=1686328718"},{"product_id":"nvidia-a40-48gb-gpu-noncec-accelerator-r9s37c","title":"HPE Nvidia A40 48GB GPU Noncec Accelerator | R9S37C","description":"\u003cdiv class=\"product-section container jc-between-center is-flex-row\"\u003e\n\u003cdiv class=\"twelve columns medium-down--one-whole-NG product-section-extras quick-specs\"\u003e\n\u003cdiv class=\"quick-specs-data\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cul class=\"margin-empty margin-bottom\"\u003e\n\u003cli\u003e\n\u003cb\u003eType\u003c\/b\u003e: GPU Accelerator\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eModel\u003c\/b\u003e: NVIDIA A40\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMemory\u003c\/b\u003e: 48GB GDDR6\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMemory Bandwidth\u003c\/b\u003e: 696GB\/s\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eArchitecture\u003c\/b\u003e: NVIDIA Ampere\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eCompatibility\u003c\/b\u003e: HPE ProLiant DL380 Gen10 Plus\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eApplications\u003c\/b\u003e: AI, deep learning, virtualization, graphics\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eFeatures\u003c\/b\u003e: Tensor Cores, Non-CEC\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMax Quantity\u003c\/b\u003e: 3 per server\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eCooling Requirements\u003c\/b\u003e: High Performance Fan Kit (P14608-B21)\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eHeat Sink\u003c\/b\u003e: HPE DL38X Gen10 Plus High Performance Heat Sink (P27095-B21)\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eDrive Limitation\u003c\/b\u003e: Max 8 NVMe drives (\u0026lt;11W) in front cage\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"four-NG medium-down--one-whole-NG product-section-extras ideal-for\"\u003e\n\u003cdiv class=\"hfour\"\u003ePart Number:\u003c\/div\u003e\n\u003cul\u003e\n\u003cli\u003eR9S37C\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":45382770262328,"sku":"R9S37C","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/files\/A40-1.jpg?v=1686329367"},{"product_id":"hpe-nvidia-a40-pcie-48gb-gpu-r7e31c","title":"HPE Nvidia A40 PCIe 48Gb GPU | R7E31C","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e \u003cp\u003eDo you require higher performance for artificial intelligence (AI) training and inference, high-performance computing (HPC) or graphics? NVIDIA\u003csup\u003e®\u003c\/sup\u003e Accelerators for HPE help solve the world’s most important scientific, industrial, and business challenges with AI and HPC. Visualize complex content to create cutting-edge products, tell immersive stories, and reimagine cities of the future.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eAccelerator applications \u003c\/b\u003e Datacenter virtualization vWS and graphics\u003cbr\u003e\u003cb\u003eMemory size per board \u003c\/b\u003e 48 GB GDDR6\u003cbr\u003e\u003cb\u003eMemory bandwidth for board \u003c\/b\u003e 696 GB\/s\u003cbr\u003e\u003cb\u003eNumber of accelerators per card \u003c\/b\u003e 1\u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":45382835274040,"sku":"R7E31C","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/files\/A40-1_f7290516-b085-4714-b4e5-5e6b91055b30.jpg?v=1686329662"},{"product_id":"nvidia-a30-24gb-pcie-gpu-module-r7g39c","title":"HPE Nvidia A30 24Gb PCIe Dw GPU 165W Module (P40774-001) | R7G39C","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eChipset Model\u003c\/b\u003e: A30\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eStandard Memory\u003c\/b\u003e: 24 GB\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMemory Technology\u003c\/b\u003e: HBM2\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eHost Interface\u003c\/b\u003e: PCI Express\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eForm Factor\u003c\/b\u003e: Plug-in Card\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eWeight (Approximate)\u003c\/b\u003e: 2.73 lb\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003ePlatform Supported\u003c\/b\u003e: PC\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003cp\u003eThe NVIDIA A30 24GB PCIe GPU Module, with part number R7G39C, is a powerful graphics processing unit (GPU) module designed for accelerated computing in data centers and enterprise environments. With 24GB of GPU memory and NVIDIA's advanced GPU architecture, the A30 is built to deliver exceptional performance for a wide range of workloads, including virtualization, AI inferencing, machine learning, and deep learning tasks. The PCIe form factor allows for easy integration into existing server infrastructures, enabling organizations to leverage the power of the A30 for accelerated computing without significant hardware changes. The NVIDIA A30 GPU Module offers efficient and scalable performance, making it an excellent choice for businesses looking to enhance their data center capabilities and accelerate compute-intensive workloads.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":45382860013880,"sku":"R7G39C","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/files\/A30_0833fce3-729f-42b6-9909-06a25843cc3a.jpg?v=1686329814"},{"product_id":"hpe-nvidia-tesla-v100s-pcie-32gb-module-r4d73c","title":"HPE Nvidia Tesla V100S PCIe 32Gb Dw 250W Module (P24827-001) | R4D73C","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e \u003cp\u003eP24827-001 - SPS-PCA,NVIDIA Tesla V100S PCIe 32GB Mod\u003c\/p\u003e\n\u003cp\u003eThe HPE NVIDIA Tesla V100S PCIe 32GB Module, identified by part number R4D73C, is a high-performance graphics processing unit (GPU) module designed for data center and enterprise applications. It features the powerful NVIDIA V100S GPU architecture and provides 32GB of GPU memory. The Tesla V100S is specifically designed for demanding workloads such as artificial intelligence (AI), deep learning, scientific simulations, and high-performance computing (HPC). With its advanced tensor core technology, the Tesla V100S delivers exceptional performance for both training and inference tasks, enabling faster data processing and accelerated model training. The PCIe form factor allows for easy integration into existing server infrastructures, making it a versatile choice for organizations seeking to enhance their compute capabilities and drive breakthrough insights and discoveries.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":45382962643256,"sku":"R4D73C","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/files\/v100s.jpg?v=1686330913"},{"product_id":"r8t26c","title":"R8T26C - HPE Nvidia A16 DW 64GB 250W GPU","description":"\u003cdiv class=\"product-section container jc-between-center is-flex-row\"\u003e\n\u003cdiv class=\"twelve columns medium-down--one-whole-NG product-section-extras quick-specs\"\u003e\n\u003cdiv class=\"one-whole columns quick-specs-data\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e\n\u003cul class=\"margin-empty margin-bottom\"\u003e\n\u003cli\u003eGPU Model: NVIDIA A16 (based on 4x T4 GPUs in one card)\u003c\/li\u003e\n\u003cli\u003eTotal Memory: 64 GB GDDR6 (16 GB per GPU × 4)\u003c\/li\u003e\n  \u003cli\u003ePower: 250W TDP\u003c\/li\u003e\n  \u003cli\u003eForm Factor: Dual-slot, Full-height, Full-length\u003c\/li\u003e\n  \u003cli\u003eInterface: PCIe 4.0 x16\u003c\/li\u003e\n  \u003cli\u003eThis is a quad-GPU card (contains four T4 GPUs on a single board)\u003c\/li\u003e\n  \u003cli\u003eDesigned for VDI (Virtual Desktop Infrastructure), graphics, and light AI workloads\u003c\/li\u003e\n  \u003cli\u003eGood performance per watt for virtualized desktop and application delivery\u003c\/li\u003e\n  \u003cli\u003eSupported in the DL320 Gen11 GPU CTO as one of the double-wide options (up to 2x)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"four-NG medium-down--one-whole-NG product-section-extras ideal-for\"\u003e\n\u003cdiv class=\"hfour\"\u003ePart Number:\u003c\/div\u003e\n\u003cul\u003e\n\u003cli\u003eR8T26C\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":45383111147832,"sku":"R8T26C","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/files\/A16_de7ce259-0f20-45e1-b9d2-9c509fbd470b.jpg?v=1686331963"},{"product_id":"hpe-xilinx-alveo-u50-accelerator-r4b02c","title":"HPE Xilinx Alveo U50 Accelerator | R4B02C","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e \u003cp\u003eP24826-001 - SPS-PCA, Xilinx Alveo U50 Accelerator\u003c\/p\u003e\n\u003cp\u003eXilinx® Accelerators for HPE are designed for high-bandwidth, low-latency servers, networking, and storage applications to bring higher value into hybrid cloud deployments.\u003c\/p\u003e\n\u003cp\u003eAdvancements in process technology and device architecture have allowed Xilinx® FPGAs to be tuned for customer applications.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eDL380 Gen10 Notes\u003c\/b\u003e: \u003cbr\u003e- Max Qty=7 per server \u003cbr\u003e- This option requires the High Performance Fan Kit (867810-B21), and the High Performance Heatsink (826706-B21); heatsink rule does not apply if ordering processors above 126W or higher. \u003cbr\u003e- System Memory Restriction \u0026lt;128TB. \u003cbr\u003e- Only Supported with 2nd Generation Intel Scalable Series Processors \"x2xx” \u003cbr\u003e- Mixing of GPUs is not supported \u003cbr\u003e - Not supported on 12LFF chassis; not supported on 24SFF chassis when SFF rear drives installed \u003cbr\u003e- Not supported with NVMe 8 SSD Express bay (826689-B21) nor Premium 8SFF Bay Kit (826690-B21) nor 2SFF HDD Riser Kit (826688-B21) \u003cbr\u003e- Supported DAC cables are HPE 100Gb QSFP28 to QSFP28 5m DAC (845408-B21) and HPE 100Gb QSFP28 to QSFP28 3m DAC (845406-B21) re selected. \u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":45383182123320,"sku":"R4B02C","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/files\/R4B02C-U50.jpg?v=1686332947"},{"product_id":"hpe-xilinx-alveo-u250-accelerator-r4b03c","title":"HPE Xilinx Alveo U250 DW 225W 64GB Accelerator | R4B03C","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e \u003cp\u003eXilinx® Accelerators for HPE are designed to dramatically increase performance in HPE servers across cloud and on-premises data centers to help accelerate the workloads running in a hybrid cloud environment. Experience breakthrough performance improvements with low latency while running key data center applications such as real-time machine learning, training, inference, video transcoding and encoding, genomics, and data analytics. T\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eDL380 Gen10 Notes\u003c\/b\u003e: \u003cbr\u003e-Max Qty=3 per server \u003cbr\u003e-This option requires the High Performance Fan Kit (867810-B21), and the High Performance Heatsink (826706-B21); heatsink rule does not apply if ordering processors above 126W or higher. \u003cbr\u003e- This GPU requires Pwr Cable Kit (871828-B21) to also be selected. \u003cbr\u003e- One Pwr Cable Kit can support multiple (Max=3 Doublewide or Max=6 Singlewide) GPUs. \u003cbr\u003e- System Memory Restriction \u0026lt;128TB. \u003cbr\u003e- Only Supported with 2nd Generation Intel Scalable Series Processors \"x2xx” \u003cbr\u003e- Mixing of GPUs is not supported \u003cbr\u003e- Not supported on 12LFF Chassis nor 24SFF Chassis \u003cbr\u003e- Not supported with NVMe 8 SSD Express bay (826689-B21) nor Premium 8SFF Bay Kit (826690-B21) nor 2SFF HDD Riser Kit (826688-B21) \u003c\/p\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":45383266664760,"sku":"R4B03C","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/files\/R4B03C-P24825-001.jpg?v=1686333251"},{"product_id":"hpe-nvidia-a100-40gb-dw-250w-gpu-p29094-001","title":"HPE Nvidia A100 40Gb 250W Double-Wide GPU | P29094-001","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\u003e \n\u003cp\u003eThe NVIDIA accelerators for HPE ProLiant servers improve computational performance, dramatically reducing the completion time for parallel tasks, offering quicker time to solutions. Co-locating the NVIDIA Quadro or NVIDIA GRID GPUs with computational servers, large data sets can be shared, dramatically improving display refresh rates. These GPUs are specifically designed to enable rich graphics in virtualized environments.\u003c\/p\u003e\n\u003chr\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eChipset Model\u003c\/b\u003e: A100\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eStandard Memory\u003c\/b\u003e: 40 GB\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eHost Interface\u003c\/b\u003e: PCI Express\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003ePower Supply Wattage\u003c\/b\u003e: 250 W\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eSlot Space Required\u003c\/b\u003e: Dual\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eForm Factor\u003c\/b\u003e: Plug-in Card\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eCard Height\u003c\/b\u003e: Full-height\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eCooler Type\u003c\/b\u003e: Passive Cooler\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":48531861438776,"sku":"P29094-001","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/files\/A100-pci_32a676ed-38ff-40c0-bad8-4e624ad12eb8.jpg?v=1714411754"},{"product_id":"hpe-nvidia-a100-40gb-250w-double-wide-gpu-p35962-001","title":"HPE Nvidia A100 40Gb 250W Double-Wide GPU | P35962-001","description":"\u003cdiv class=\"product-default-container\"\u003e\n\u003cdiv class=\"hfour\"\u003eQuick Specs\u003c\/div\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. Co-locating the NVIDIA Quadro or NVIDIA GRID GPUs with computational servers, large data sets can be shared, dramatically improving display refresh rates. These GPUs are specifically designed to enable rich graphics in virtualized environments. \u003c\/p\u003e\n  \u003chr\u003e\n  \u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eChipset Model\u003c\/b\u003e: A100\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eStandard Memory\u003c\/b\u003e: 40 GB\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eHost Interface\u003c\/b\u003e: PCI Express\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003ePower Supply Wattage\u003c\/b\u003e: 250 W\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eSlot Space Required\u003c\/b\u003e: Dual\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eForm Factor\u003c\/b\u003e: Plug-in Card\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eCard Height\u003c\/b\u003e: Full-height\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eCooler Type\u003c\/b\u003e: Passive Cooler\u003c\/li\u003e\n  \u003c\/ul\u003e\n\u003c\/div\u003e","brand":"HPE","offers":[{"title":"Default Title","offer_id":48561004020024,"sku":"P35962-001","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0065\/1906\/2613\/files\/A100-pci_7d3316d4-8e72-4cba-ba5c-af20e91bcecf.jpg?v=1714757996"}],"url":"https:\/\/expresscomputersystems.com\/collections\/dl380-gen10-hpe-expansion.oembed","provider":"Express Computer Systems","version":"1.0","type":"link"}