4X DDR4 32G 2400MHz. 2x Gold 6154 CPU. Server Chassis. DELL R6525 Server 8X2.5"(SAS/SATA) 2X EPYC 7302 CPU 64Core 2X800W 512G 3200MHz. Dell PowerEdge R730XD 12X3.5" Server/ 2x E5-2698 v4 =40Core 2.2G/128G RAM/750W 2.
4X DDR4 32G 2400MHz. 2x Gold 6154 CPU. Inspur SA5212 M5 Server 12X3.5"/9364-8i/2X800W/2XGold 6133 CPU/4X 32G 2400MHz. Server Chassis. Supermicro 6028R-E1CR24N Storage Server 24X3.5"/2XE5-2690 V3 24Core/DDR4 128G.
4X DDR4 32G 2400MHz. 2x Gold 6154 CPU. Server Chassis. R emote console. Rack rails. Network card Note : If the label is a second-hand product, there may be wear and scratches on the appearance. The photos on the link are inventory photos, not actual photos.
4X DDR4 32G 2400MHz. 2x Gold 6154 CPU. Sugon A620-G30 Server 12X3.5" 9364-8i 2X1200W/2XEPYC 7551=64Core/8XDDR4 32G 2666. Server Chassis. 32120.0 USD. 2250.6 USD. 1710.0 USD.
4X DDR4 32G 2400MHz. 2x Gold 6154 CPU. Server Chassis. Rack rails. R emote console. Network card Hard disk backplane.
We are NOT responsible for custom taxes and VAT taxes!!! Description Product DetailsBrand: SupermicroSeries: Server Chassis model: SYS-1029GQ-TRT ServerProduct situation: UsedHard disk backplane: NoneHDD:NoneHard drive bays: NoneRadiator: YESCooling fan: YESProcessor: 2x Gold 6154 CPUMemory4X DDR4 32G 2400MHzRAID Controller: NoneNetwork card:Motherboard comes with its own network cardRemote consoleYESRack railsNonePSU:1X2000W Note: If the label is a second-hand product, there may be wear and scratches on the appearance. The photos on the link are inventory photos, not actual photos. Please carefully review the detailed information of the actual configuration
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.
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.
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.
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.