Chip comparison
Huawei Ascend 910B 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 910B | NVIDIA H200 Tensor Core GPU |
|---|---|---|
| Process node | SMIC N+2 (~7nm) | TSMC 4N |
| Transistors (B) | — | 80 |
| Die size | — | 814 mm² |
| TDP | 400 W | 700 W |
| Memory | 64 GB HBM2e | 141 GB HBM3e |
| Memory bandwidth | 1,600 GB/s | 4,800 GB/s |
| FP16 (dense) | 400 TFLOPS | 989 TFLOPS |
| BF16 (dense) | 400 TFLOPS | 989 TFLOPS |
| FP8 (dense) | — | 1,979 TFLOPS |
| INT8 (dense) | 800 TOPS | 1,979 TOPS |
| Form factor | OAM (Atlas 300T A2) | SXM5 |
| Announced | 2023-08-01 | 2023-11-13 |
| Released | 2023-08-01 | 2024-03-01 |
Robots running Huawei Ascend 910B
Robots running NVIDIA H200 Tensor Core GPU
No robots publicly running it yet.
Data centers with Huawei Ascend 910B
Data centers with NVIDIA H200 Tensor Core GPU
Common questions
Huawei Ascend 910B vs NVIDIA H200 Tensor Core GPU: which is faster for training?
NVIDIA H200 Tensor Core GPU has 4.95x the dense FP16/BF16 throughput of the other (Huawei Ascend 910B: 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 910B vs NVIDIA H200 Tensor Core GPU: which has more memory?
NVIDIA H200 Tensor Core GPU carries more HBM (Huawei Ascend 910B: 64 GB HBM2e; 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 910B vs NVIDIA H200 Tensor Core GPU: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: Huawei Ascend 910B 1.00 (400 ÷ 400 W); NVIDIA H200 Tensor Core GPU 2.83 (1,979 ÷ 700 W). NVIDIA H200 Tensor Core GPU wins at the die level; system-level efficiency also depends on cooling and interconnect.
Huawei Ascend 910B vs NVIDIA H200 Tensor Core GPU: which is more widely used?
Huawei Ascend 910B: 2 robots and 1 data center 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 910B full page · NVIDIA H200 Tensor Core GPU full page.