Details
NVIDIA DGX-1
Effortless Productivity
Today's deep learning environments can cost hundreds of thousands of dollars in software engineering hours, and months of delays for the open source software to stabilize.
With NVIDIA DGX you're immediately productive, with simplified workflows and collaboration across your ream.
Save time and money with a solution that's up-to-date with the latest NVIDIA optimized software.
Revolutionary AI Performance
While many solutions offer GPU-accelerated performance, only NVIDIA DGX unlocks the full potential of the latest NVIDIA Tesla V100, including next generation NVIDIA NVLink, and new Tensor Core architecture.
DGX delivers 3X faster training speed than other GPU-based systems by using the NVIDIA GPU Cloud Deep Learning Stack with optimized versions of today's most popular frameworks.
Investment Protection
Get the full power of NVIDIA deep learning expertise backing your project, so you won't waste time and money struggling to get the results you expect.
NVIDIA's enterprise-grade support saves you from the time consuming job of troubleshooting hardware and open source software.
Spend less time tuning and optimizing and more time focused on discovery.
| Part No. | DGX1-2511A+P2CMI00 |
|---|---|
| Manufacturer | nvidia |
| End of Life? | No |
| Rack Units | 2 |
| System Weight | 134 lbs |
| System Dimensions | 866 D x 444 W x 131 H (mm) |
| Packing Dimensions | 1,180 D x 730 W x 284 H (mm) |
| Operating Temperature Range | 10–35 °C |
| EAN | TCSDGX1VH32-PB |
| Specification | TCSDGX1VH32-PB |
| NVIDIA CUDA Cores | 40,960 (V100) or 28,672 (P100) |
| NVIDIA Tensor Cores | 5,120 (V100 only) |
| Performance | 1 petaFLOPS (V100) or 170 teraFLOPS (P100) |
| Compatible CPU(s) | Dual 20-Core Intel Xeon E5-2698 v4 2.2 GHz |
| No. of GPUs | 8X Tesla V1008X Tesla P100 |
| System Memory | 512 GB 2,133 MHz DDR4 LRDIMM |
| GPU Memory | 128 GB total system |
| Storage Capacity | 4 x 1.92 TB SSD RAID 0 |
| Supported OS | Ubuntu Linux Host OS |
| Ports | Dual 10 GbE4 IB EDR |