Chip comparison
NVIDIA A100 Tensor Core GPU vs NVIDIA H100 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 A100 Tensor Core GPU | NVIDIA H100 Tensor Core GPU |
|---|---|---|
| Process node | TSMC N7 | TSMC 4N |
| Transistors (B) | 54 | 80 |
| Die size | 826 mm² | 814 mm² |
| TDP | 400 W | 700 W |
| Memory | 80 GB HBM2e | 80 GB HBM3 |
| Memory bandwidth | 2,039 GB/s | 3,350 GB/s |
| FP16 (dense) | 312 TFLOPS | 989 TFLOPS |
| BF16 (dense) | 312 TFLOPS | 989 TFLOPS |
| FP8 (dense) | — | 1,979 TFLOPS |
| INT8 (dense) | 624 TOPS | 1,979 TOPS |
| Launch price (list) | $10,000 | $30,000 |
| Form factor | SXM4 | SXM5 |
| Announced | 2020-05-14 | 2022-03-22 |
| Released | 2020-05-14 | 2022-10-13 |
Robots running NVIDIA A100 Tensor Core GPU
No robots publicly running it yet.
Robots running NVIDIA H100 Tensor Core GPU
No robots publicly running it yet.
Data centers with NVIDIA A100 Tensor Core GPU
No data centers publicly running it yet.
Common questions
NVIDIA A100 Tensor Core GPU vs NVIDIA H100 Tensor Core GPU: which is faster for training?
NVIDIA H100 Tensor Core GPU has 6.34x the dense FP16/BF16 throughput of the other (NVIDIA A100 Tensor Core GPU: 312 TFLOPS; NVIDIA H100 Tensor Core GPU: 1,979 TFLOPS). Real-world training speed also depends on memory bandwidth, interconnect, and software stack: see the spec diff for those inputs.
NVIDIA A100 Tensor Core GPU vs NVIDIA H100 Tensor Core GPU: which has more memory?
NVIDIA H100 Tensor Core GPU carries more HBM (NVIDIA A100 Tensor Core GPU: 80 GB HBM2e; NVIDIA H100 Tensor Core GPU: 80 GB HBM3). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
NVIDIA A100 Tensor Core GPU vs NVIDIA H100 Tensor Core GPU: which is cheaper?
Launch list price: NVIDIA A100 Tensor Core GPU $10,000; NVIDIA H100 Tensor Core GPU $30,000. NVIDIA A100 Tensor Core GPU lists lower. Street prices vary with supply and generation age.
NVIDIA A100 Tensor Core GPU vs NVIDIA H100 Tensor Core GPU: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: NVIDIA A100 Tensor Core GPU 0.78 (312 ÷ 400 W); NVIDIA H100 Tensor Core GPU 2.83 (1,979 ÷ 700 W). NVIDIA H100 Tensor Core GPU wins at the die level; system-level efficiency also depends on cooling and interconnect.
NVIDIA A100 Tensor Core GPU vs NVIDIA H100 Tensor Core GPU: which is more widely used?
NVIDIA A100 Tensor Core GPU: 0 robots and 0 data centers publicly running it. NVIDIA H100 Tensor Core GPU: 0 robots and 7 data centers. Empty here means no operator has said publicly, not zero adoption in the market.
See also: every chip comparison · NVIDIA A100 Tensor Core GPU full page · NVIDIA H100 Tensor Core GPU full page.