NVIDIA · Datacenter System
DGX-1 (Volta V100)
Volta
Prefill · prompt processing
Not benchmarked
Inference · generation speed
Not benchmarked
GPU / CPU chip
Tesla V100 16 GB / 2× Intel Xeon E5-2698 v4
RAM / VRAM
128 GB GPU total
512 GB system RAM
No verified model-specific throughput measurement is published here yet. Prefill and generation rates depend on the model, precision, batch size and runtime.
Hardware specifications
| Product family | DGX-1 |
| Model / configuration | DGX-1 V100 |
| Released | 2017 |
| Manufacturer | NVIDIA |
| Hardware category | Datacenter System |
| Architecture | Volta |
| Form factor | 3U rack |
| CPU | 2× Intel Xeon E5-2698 v4 |
| CPU cores | 40 |
| Accelerator model | Tesla V100 16 GB |
| Accelerator count | 8 |
| Interconnect | NVLink mesh |
Where to buy
No verified retailer listings have been added for this hardware yet.
Retailer links do not guarantee stock or a current price.
Observed prices
No source-backed price observations recorded yet.
Historical observations retain their original currency. Prices are not converted or adjusted for regional taxes.
Memory & bandwidth
| Primary memory (comparison) | 128 GB GPU total |
| Memory technology | HBM2 (8 GPUs) |
| Memory per GPU | 16 GB |
| Total GPU memory | 128 GB |
| CPU system RAM | 512 GB |
| GPU / system bandwidth | — |
| Power | 3,500 W |
System memory, aggregate GPU memory and memory available to one accelerator are separate measurements. Do not treat total multi-GPU memory as a single unified pool.
System & deployment
| Networking | Dual 10 GbE; ConnectX-4/5 |
| Storage | 4× 1.92 TB SATA SSD |
System accelerators
Inference runtimes
No verified runtime compatibility records for this configuration yet.
Runtime support is not a model throughput or memory-fit benchmark.