Key Architecture Highlights
- FP64 Compute performance: FP64: 34 teraFLOPS; FP64 Tensor Core: 67 teraFLOPS
- FP32 Compute performance: 67 teraFLOPS
- Tensor Compute performance: TF32 Tensor Core: 989 teraFLOPS; BFLOAT16 Tensor Core: 1,979 teraFLOPS; FP16 Tensor Core: 1,979 teraFLOPS; FP8 Tensor Core: 3,958 teraFLOPS
Applications
- AI training and inference
- High-performance computing
- Data center
Engineering Parameters
| FP64 Compute performance | FP64: 34 teraFLOPS FP64 Tensor Core: 67 teraFLOPS |
|---|---|
| FP32 Compute performance | 67 teraFLOPS |
| Tensor Compute performance | TF32 Tensor Core: 989 teraFLOPS BFLOAT16 Tensor Core: 1,979 teraFLOPS FP16 Tensor Core: 1,979 teraFLOPS FP8 Tensor Core: 3,958 teraFLOPS |
| Integer Compute performance | 3,958 TOPS |
| GPU memory ／ Memory | 80GB |
| GPU memory bandwidth | 3.35TB/s |
| Video decoding | 7 NVDEC 7 JPEG |
| Power consumption | Up to 700W (configurable) |
| MIG Division | Up to 7 MIGS @ 10GB each |
| Form factor and installation | SXM |
| Interconnect Interface | NVIDIA NVLink™: 900GB/s PCIe Gen5: 128GB/s |
Warranty
Public manufacturer information does not specify the warranty term applicable to our supply channel. The supply region, channel and actual warranty service are confirmed in the supply contract.
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