Chip comparison
Huawei Ascend 910C 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 | Huawei Ascend 910C | NVIDIA H100 Tensor Core GPU |
|---|---|---|
| Process node | SMIC N+2 (~7nm) | TSMC 4N |
| Transistors (B) | — | 80 |
| Die size | — | 814 mm² |
| TDP | 500 W | 700 W |
| Memory | 128 GB HBM2e | 80 GB HBM3 |
| Memory bandwidth | 3,200 GB/s | 3,350 GB/s |
| FP16 (dense) | 800 TFLOPS | 989 TFLOPS |
| BF16 (dense) | 800 TFLOPS | 989 TFLOPS |
| FP8 (dense) | — | 1,979 TFLOPS |
| INT8 (dense) | 1,600 TOPS | 1,979 TOPS |
| Launch price (list) | — | $30,000 |
| Form factor | OAM | SXM5 |
| Announced | 2024-09-19 | 2022-03-22 |
| Released | 2025-01-01 | 2022-10-13 |
Robots running Huawei Ascend 910C
No robots publicly running it yet.
Robots running NVIDIA H100 Tensor Core GPU
No robots publicly running it yet.
Data centers with Huawei Ascend 910C
No data centers publicly running it yet.
Common questions
Huawei Ascend 910C vs NVIDIA H100 Tensor Core GPU: which is faster for training?
NVIDIA H100 Tensor Core GPU has 2.47x the dense FP16/BF16 throughput of the other (Huawei Ascend 910C: 800 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.
Huawei Ascend 910C vs NVIDIA H100 Tensor Core GPU: which has more memory?
Huawei Ascend 910C carries more HBM (Huawei Ascend 910C: 128 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.
Huawei Ascend 910C vs NVIDIA H100 Tensor Core GPU: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: Huawei Ascend 910C 1.60 (800 ÷ 500 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.
Huawei Ascend 910C vs NVIDIA H100 Tensor Core GPU: which is more widely used?
Huawei Ascend 910C: 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 · Huawei Ascend 910C full page · NVIDIA H100 Tensor Core GPU full page.