Chip comparison
Huawei Ascend 910B vs NVIDIA A100 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 A100 Tensor Core GPU |
|---|---|---|
| Process node | SMIC N+2 (~7nm) | TSMC N7 |
| Transistors (B) | — | 54 |
| Die size | — | 826 mm² |
| TDP | 400 W | 400 W |
| Memory | 64 GB HBM2e | 80 GB HBM2e |
| Memory bandwidth | 1,600 GB/s | 2,039 GB/s |
| FP16 (dense) | 400 TFLOPS | 312 TFLOPS |
| BF16 (dense) | 400 TFLOPS | 312 TFLOPS |
| INT8 (dense) | 800 TOPS | 624 TOPS |
| Launch price (list) | — | $10,000 |
| Form factor | OAM (Atlas 300T A2) | SXM4 |
| Announced | 2023-08-01 | 2020-05-14 |
| Released | 2023-08-01 | 2020-05-14 |
Robots running Huawei Ascend 910B
Robots running NVIDIA A100 Tensor Core GPU
No robots publicly running it yet.
Data centers with Huawei Ascend 910B
Data centers with NVIDIA A100 Tensor Core GPU
No data centers publicly running it yet.
Common questions
Huawei Ascend 910B vs NVIDIA A100 Tensor Core GPU: which is faster for training?
Huawei Ascend 910B has 1.28x the dense FP16/BF16 throughput of the other (Huawei Ascend 910B: 400 TFLOPS; NVIDIA A100 Tensor Core GPU: 312 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 A100 Tensor Core GPU: which has more memory?
NVIDIA A100 Tensor Core GPU carries more HBM (Huawei Ascend 910B: 64 GB HBM2e; NVIDIA A100 Tensor Core GPU: 80 GB HBM2e). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
Huawei Ascend 910B vs NVIDIA A100 Tensor Core GPU: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: Huawei Ascend 910B 1.00 (400 ÷ 400 W); NVIDIA A100 Tensor Core GPU 0.78 (312 ÷ 400 W). Huawei Ascend 910B wins at the die level; system-level efficiency also depends on cooling and interconnect.
Huawei Ascend 910B vs NVIDIA A100 Tensor Core GPU: which is more widely used?
Huawei Ascend 910B: 2 robots and 1 data center publicly running it. NVIDIA A100 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 · Huawei Ascend 910B full page · NVIDIA A100 Tensor Core GPU full page.