Chip comparison
Huawei Ascend 910D vs NVIDIA GB300 (Blackwell Ultra)
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 GB300 (Blackwell Ultra) |
|---|---|---|
| Process node | SMIC N+2 (~7nm) | TSMC 4NP |
| TDP | 800 W | 1400 W |
| Memory | 192 GB HBM3 | 288 GB HBM3e |
| Memory bandwidth | 4,000 GB/s | 8,000 GB/s |
| FP16 (dense) | 1,200 TFLOPS | — |
| BF16 (dense) | 1,200 TFLOPS | — |
| FP8 (dense) | 2,400 TFLOPS | 5,000 TFLOPS |
| Form factor | OAM | Superchip (Blackwell Ultra + Grace) |
| Announced | 2025-04-01 | 2025-03-18 |
| Released | 2025-12-01 | 2025-11-01 |
Robots running Huawei Ascend 910D
No robots publicly running it yet.
Robots running NVIDIA GB300 (Blackwell Ultra)
No robots publicly running it yet.
Data centers with Huawei Ascend 910D
No data centers publicly running it yet.
Data centers with NVIDIA GB300 (Blackwell Ultra)
Common questions
Huawei Ascend 910D vs NVIDIA GB300 (Blackwell Ultra): which is faster for training?
NVIDIA GB300 (Blackwell Ultra) has 2.08x the dense FP8 throughput of the other (Huawei Ascend 910D: 2,400 TFLOPS; NVIDIA GB300 (Blackwell Ultra): 5,000 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 GB300 (Blackwell Ultra): which has more memory?
NVIDIA GB300 (Blackwell Ultra) carries more HBM (Huawei Ascend 910D: 192 GB HBM3; NVIDIA GB300 (Blackwell Ultra): 288 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 GB300 (Blackwell Ultra): which is more power-efficient?
Dense FP8 TFLOPS per watt: Huawei Ascend 910D 3.00 (2,400 ÷ 800 W); NVIDIA GB300 (Blackwell Ultra) 3.57 (5,000 ÷ 1400 W). NVIDIA GB300 (Blackwell Ultra) wins at the die level; system-level efficiency also depends on cooling and interconnect.
Huawei Ascend 910D vs NVIDIA GB300 (Blackwell Ultra): which is more widely used?
Huawei Ascend 910D: 0 robots and 0 data centers publicly running it. NVIDIA GB300 (Blackwell Ultra): 0 robots and 1 data center. 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 GB300 (Blackwell Ultra) full page.