Chip comparison
Huawei Ascend 910D vs NVIDIA H200 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 910D | NVIDIA H200 Tensor Core GPU |
|---|---|---|
| Process node | SMIC N+2 (~7nm) | TSMC 4N |
| Transistors (B) | — | 80 |
| Die size | — | 814 mm² |
| TDP | 800 W | 700 W |
| Memory | 192 GB HBM3 | 141 GB HBM3e |
| Memory bandwidth | 4,000 GB/s | 4,800 GB/s |
| FP16 (dense) | 1,200 TFLOPS | 989 TFLOPS |
| BF16 (dense) | 1,200 TFLOPS | 989 TFLOPS |
| FP8 (dense) | 2,400 TFLOPS | 1,979 TFLOPS |
| INT8 (dense) | — | 1,979 TOPS |
| Form factor | OAM | SXM5 |
| Announced | 2025-04-01 | 2023-11-13 |
| Released | 2025-12-01 | 2024-03-01 |
Robots running Huawei Ascend 910D
No robots publicly running it yet.
Robots running NVIDIA H200 Tensor Core GPU
No robots publicly running it yet.
Data centers with Huawei Ascend 910D
No data centers publicly running it yet.
Data centers with NVIDIA H200 Tensor Core GPU
Common questions
Huawei Ascend 910D vs NVIDIA H200 Tensor Core GPU: which is faster for training?
Huawei Ascend 910D has 1.21x the dense FP8 throughput of the other (Huawei Ascend 910D: 2,400 TFLOPS; NVIDIA H200 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 910D vs NVIDIA H200 Tensor Core GPU: which has more memory?
Huawei Ascend 910D carries more HBM (Huawei Ascend 910D: 192 GB HBM3; NVIDIA H200 Tensor Core GPU: 141 GB HBM3e). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
Huawei Ascend 910D vs NVIDIA H200 Tensor Core GPU: which is more power-efficient?
Dense FP8 TFLOPS per watt: Huawei Ascend 910D 3.00 (2,400 ÷ 800 W); NVIDIA H200 Tensor Core GPU 2.83 (1,979 ÷ 700 W). Huawei Ascend 910D wins at the die level; system-level efficiency also depends on cooling and interconnect.
Huawei Ascend 910D vs NVIDIA H200 Tensor Core GPU: which is more widely used?
Huawei Ascend 910D: 0 robots and 0 data centers publicly running it. NVIDIA H200 Tensor Core GPU: 0 robots and 4 data centers. Empty here means no operator has said publicly, not zero adoption in the market.
See also: every chip comparison · Huawei Ascend 910D full page · NVIDIA H200 Tensor Core GPU full page.