Chip comparison
NVIDIA H100 Tensor Core GPU vs NVIDIA V100 Tensor Core GPU
Side-by-side specs
Straight from each vendor's datasheet. Winner in bold: higher throughput, memory, or transistor count; lower power draw or price. Sparse (2:4) throughput roughly doubles the FP8/INT8 numbers shown.
| Field | NVIDIA H100 Tensor Core GPU | NVIDIA V100 Tensor Core GPU |
|---|---|---|
| Process node | TSMC 4N | TSMC 12FFN |
| Transistors (B) | 80 | 21.1 |
| Die size | 814 mm² | 815 mm² |
| TDP | 700 W | 300 W |
| Memory | 80 GB HBM3 | 32 GB HBM2 |
| Memory bandwidth | 3,350 GB/s | 900 GB/s |
| FP16 (dense) | 989 TFLOPS | 125 TFLOPS |
| BF16 (dense) | 989 TFLOPS | — |
| FP8 (dense) | 1,979 TFLOPS | — |
| INT8 (dense) | 1,979 TOPS | — |
| Launch price (list) | $30,000 | — |
| Form factor | SXM5 | SXM2 / PCIe |
| Announced | 2022-03-22 | 2017-05-10 |
| Released | 2022-10-13 | 2017-12-01 |
Robots running NVIDIA H100 Tensor Core GPU
No robots publicly running it yet.
Robots running NVIDIA V100 Tensor Core GPU
No robots publicly running it yet.
Data centers with NVIDIA H100 Tensor Core GPU
Data centers with NVIDIA V100 Tensor Core GPU
No data centers publicly running it yet.
Common questions
NVIDIA H100 Tensor Core GPU vs NVIDIA V100 Tensor Core GPU: which is faster for training?
NVIDIA H100 Tensor Core GPU has 15.83x the dense FP16/BF16 throughput of the other (NVIDIA H100 Tensor Core GPU: 1,979 TFLOPS; NVIDIA V100 Tensor Core GPU: 125 TFLOPS). Real-world training speed also depends on memory bandwidth, interconnect, and software stack: see the spec diff for those inputs.
NVIDIA H100 Tensor Core GPU vs NVIDIA V100 Tensor Core GPU: which has more memory?
NVIDIA H100 Tensor Core GPU carries more HBM (NVIDIA H100 Tensor Core GPU: 80 GB HBM3; NVIDIA V100 Tensor Core GPU: 32 GB HBM2). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
NVIDIA H100 Tensor Core GPU vs NVIDIA V100 Tensor Core GPU: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: NVIDIA H100 Tensor Core GPU 2.83 (1,979 ÷ 700 W); NVIDIA V100 Tensor Core GPU 0.42 (125 ÷ 300 W). NVIDIA H100 Tensor Core GPU wins at the die level; system-level efficiency also depends on cooling and interconnect.
NVIDIA H100 Tensor Core GPU vs NVIDIA V100 Tensor Core GPU: which is more widely used?
NVIDIA H100 Tensor Core GPU: 0 robots and 7 data centers publicly running it. NVIDIA V100 Tensor Core GPU: 0 robots and 0 data centers. Empty here means no operator has said publicly, not zero adoption in the market.
See also: every chip comparison · NVIDIA H100 Tensor Core GPU full page · NVIDIA V100 Tensor Core GPU full page.