HPC is a fundamental pillar of modern science. From predicting weather to discovering drugs to finding new energy sources, researchers use large computing systems to simulate and predict our world. AI extends traditional HPC by allowing researchers to analyze large volumes of data for rapid insights where simulation alone cannot fully predict the real world.
V100 is engineered for the convergence of AI and HPC. It offers a platform for HPC systems to excel at both computational science for scientific simulation and data science for finding insights in data. By pairing NVIDIA CUDA® cores and Tensor Cores within a unified architecture, a single server with V100 GPUs can replace hundreds of commodity CPU-only servers for both traditional HPC and AI workloads. Every researcher and engineer can now afford an AI supercomputer to tackle their most challenging work
The system has an onboard Baseboard Management Controller (BMC)
chip that supports system health monitoring.
CPU |
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Memory Capacity |
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Memory Type | 2933/2666/2400/2133MHz ECC DDR4 RDIMM/LRDIMM |
Chipset | Intel® C622 chipset |
SATA | SATA3 (6Gbps) with RAID 0, 1, 5, 10 |
Network Controllers | Dual Port 10GbE from C622 |
IPMI |
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Graphics | ASPEED AST2500 BMC |
SATA | 10 SATA3 (6Gbps) ports |
LAN |
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USB | 4 USB 3.0 ports (rear) |
Video | 1 VGA Connector |
COM Port | 1 COM port (header) |
4U Rackmountable with Rail kit |
Height | 7.0" (178mm) |
Width | 17.6" (447mm) |
Depth | 29" (737mm) |
Weight |
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Hot-swap |
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M.2 |
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PCI-Express |
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Fans | 8 Hot-swap 92mm cooling fans |
2000W Redundant Power Supplies with PMBus | |
Total Output Power |
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RoHS | RoHS Compliant |
Environmental Spec. |
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