Chip comparison
Biren BR100 vs NVIDIA B100 (Blackwell)
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 | NVIDIA B100 (Blackwell) |
|---|---|---|
| Process node | TSMC N7 | TSMC 4NP |
| Transistors (B) | 77 | — |
| TDP | 550 W | 700 W |
| Memory | 64 GB HBM2e | 192 GB HBM3e |
| Memory bandwidth | 2,300 GB/s | 8,000 GB/s |
| FP16 (dense) | 1,024 TFLOPS | 1,750 TFLOPS |
| BF16 (dense) | 1,024 TFLOPS | 1,750 TFLOPS |
| FP8 (dense) | — | 3,500 TFLOPS |
| INT8 (dense) | 2,048 TOPS | — |
| Form factor | OAM | SXM6 (700 W envelope) |
| Announced | 2022-08-09 | 2024-03-18 |
| Released | — | 2024-11-01 |
Robots running Biren BR100
No robots publicly running it yet.
Robots running NVIDIA B100 (Blackwell)
No robots publicly running it yet.
Data centers with Biren BR100
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Data centers with NVIDIA B100 (Blackwell)
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Common questions
Biren BR100 vs NVIDIA B100 (Blackwell): which is faster for training?
NVIDIA B100 (Blackwell) has 3.42x the dense FP16/BF16 throughput of the other (Biren BR100: 1,024 TFLOPS; NVIDIA B100 (Blackwell): 3,500 TFLOPS). Real-world training speed also depends on memory bandwidth, interconnect, and software stack: see the spec diff for those inputs.
Biren BR100 vs NVIDIA B100 (Blackwell): which has more memory?
NVIDIA B100 (Blackwell) carries more HBM (Biren BR100: 64 GB HBM2e; NVIDIA B100 (Blackwell): 192 GB HBM3e). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
Biren BR100 vs NVIDIA B100 (Blackwell): which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: Biren BR100 1.86 (1,024 ÷ 550 W); NVIDIA B100 (Blackwell) 5.00 (3,500 ÷ 700 W). NVIDIA B100 (Blackwell) wins at the die level; system-level efficiency also depends on cooling and interconnect.
See also: every chip comparison · Biren BR100 full page · NVIDIA B100 (Blackwell) full page.