Do you require higher performance for artificial intelligence (AI) training and inference, high-performance computing (HPC) or graphics? NVIDIA® Accelerators for HPE help solve the world’s most important scientific, industrial, and business challenges with AI and HPC. Visualize complex content to create cutting-edge products, tell immersive stories, and reimagine cities of the future. Extract new insights from massive datasets. Hewlett Packard Enterprise servers with NVIDIA accelerators are designed for the age of elastic computing, providing unmatched acceleration at every scale.
| Feature | Specification |
|---|---|
| GPU Architecture | NVIDIA Ampere |
| NVIDIA Third-Generation Tensor Cores | 160 total Tensor Cores (40 cores per GPU, 4 GPUs) |
| NVIDIA CUDA Cores (shading units) | 5120 total FP32 CUDA Cores (1280 cores per GPU, 4 GPUs) |
| NVIDIA RT Cores | 40 total RT Cores (10 cores per GPU, 4 GPUs) |
| Double-Precision Performance (FP64) | Not applicable |
| Single-Precision Performance | FP32: 4x 4.5 TFLOPS<br>Tensor Float 32 (TF32): 4x 9 TFLOPS, 4x 18 TFLOPS* |
| Half-Precision Performance | FP16: 4x 17.9 TFLOPS, 4x 35.9 TFLOPS* |
| Bfloat16 | Not applicable |
| Integer Performance | INT8: 4x 35.9 TOPS, 4x 71.8 TOPS* |
| GPU Memory | 64GB GDDR6 (16 GB per GPU, 4 CPUs) |
| Memory Bandwidth | 4x 200 GB/s |
| ECC | Yes |
| Interconnect Bandwidth | Not applicable |
| System Interface | PCIe Gen 4, x16 lanes |
| Form Factor | PCIe full height/length, double width (dual slot) |
| Multi-Instance GPU (MIG) | No support |
| Max Power Consumption | 250 W |
| Thermal Solution | Passive |
| Graphics APIs | DirectX 12.07, Shader Model 5.17, OpenGL 4.68, Vulkan 1.18 |
| Compute APIs | CUDA, DirectCompute, OpenCL, OpenACC |
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