Chip comparison
Biren BR100 vs Huawei Ascend 910C
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 | Biren BR100 | Huawei Ascend 910C |
|---|---|---|
| Process node | TSMC N7 | SMIC N+2 (~7nm) |
| Transistors (B) | 77 | — |
| TDP | 550 W | 500 W |
| Memory | 64 GB HBM2e | 128 GB HBM2e |
| Memory bandwidth | 2,300 GB/s | 3,200 GB/s |
| FP16 (dense) | 1,024 TFLOPS | 800 TFLOPS |
| BF16 (dense) | 1,024 TFLOPS | 800 TFLOPS |
| INT8 (dense) | 2,048 TOPS | 1,600 TOPS |
| Form factor | OAM | OAM |
| Announced | 2022-08-09 | 2024-09-19 |
| Released | — | 2025-01-01 |
Robots running Biren BR100
No robots publicly running it yet.
Robots running Huawei Ascend 910C
No robots publicly running it yet.
Data centers with Biren BR100
No data centers publicly running it yet.
Data centers with Huawei Ascend 910C
No data centers publicly running it yet.
Common questions
Biren BR100 vs Huawei Ascend 910C: which is faster for training?
Biren BR100 has 1.28x the dense FP16/BF16 throughput of the other (Biren BR100: 1,024 TFLOPS; Huawei Ascend 910C: 800 TFLOPS). Real-world training speed also depends on memory bandwidth, interconnect, and software stack: see the spec diff for those inputs.
Biren BR100 vs Huawei Ascend 910C: which has more memory?
Huawei Ascend 910C carries more HBM (Biren BR100: 64 GB HBM2e; Huawei Ascend 910C: 128 GB HBM2e). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
Biren BR100 vs Huawei Ascend 910C: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: Biren BR100 1.86 (1,024 ÷ 550 W); Huawei Ascend 910C 1.60 (800 ÷ 500 W). Biren BR100 wins at the die level; system-level efficiency also depends on cooling and interconnect.
See also: every chip comparison · Biren BR100 full page · Huawei Ascend 910C full page.