HPE DL380 G10 8SFF GPU 2x Xeon Gold 6134 256 GB RAM 1x Nvidia Tesla M10 32GB GDDR5 2x 960GB 6G SATA SSD Rails. Installed HDD 2 x 960GB 6G SATA SSD. Manufacturer Part Number DL380 G10 8SFF GPU. Manufacturer HPE.
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Dell PowerEdge R730 16x 2.5" Bay 2U Server. 256GB DDR4 Ram (16x 16GB). 1 x Dell NVidia GRID K2 8GB GPU Accelerator Card. 2 x 200GB 2.5" SAS 12G Solid State Drives SSD - K41XJ. x16 way Backplane for up to 16 x 2.5" SAS, SATA or SSD Hot-Swap Drives.
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Hsquare Cluster Node- 2U Rack Server with 4 x Tesla K10 -GPU. 2 x CPU Sockets, BOTH CPU installed ( 12 CPU Cores/ Logical Processors/ 24threads). Server Options / upgrades . Storage: 2 X 100GB 2.5" SFF SSD.
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This server is designed for parallel processing, the GPU is used in a wide range of applications, including graphics and video rendering. 1x SuperMicro SYS-1028GR-TR SuperServer CTO Chassis. 1x Supermicro 1U Rail Kit.
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2x Gold 6148 =40Core. 24X 32G 2400MHz=768G. R emote console. Rack rails. Cooling fan Hard drive bays Network card 2x2.5 ” SATA.
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Graphic: 1x NVIDIA RTX A6000 48GB GPU. HPE ProLiant DL380 Gen10 Rack Server. Dual Socket, Both CPU's installed (40 Cores / 80 Logical Processors /Threads). Tested with Windows Server 2019 /2022 / Ubuntu /CentOS /Linux.
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To accelerate machine learning, graphics, and data science on Supermicro SYS-based systems, these servers use Tensor Core and CUDA GPUs, the Tesla P100 and Tesla V100. The Supermicro SYS-1029GQ-TRT is optimal for solving Linear Algebra and machine learning (inference and forecasting) problems for recurrent neural networks.
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16GB ( 2 x 8GB Kit) DDR4 Ram CMK16GX4M2A2666C16. 1 x Nvidia P620 Quadro 2GB GDDR5 4-Port Mini-DP GPU. 1 x 250GB 2.5" Samsung Evo 860 SATA SSD. Max power ≈ 5W. 1 x Dual HDMI Input Capture Card VisionLC-HD2.
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