Chip comparison
Biren BR100 vs Tenstorrent Blackhole
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 | Tenstorrent Blackhole |
|---|---|---|
| Process node | TSMC N7 | TSMC N6 |
| Transistors (B) | 77 | — |
| TDP | 550 W | 300 W |
| Memory | 64 GB HBM2e | 32 GB GDDR6 |
| Memory bandwidth | 2,300 GB/s | 512 GB/s |
| FP16 (dense) | 1,024 TFLOPS | 745 TFLOPS |
| BF16 (dense) | 1,024 TFLOPS | — |
| INT8 (dense) | 2,048 TOPS | 2,980 TOPS |
| Form factor | OAM | PCIe |
| Announced | 2022-08-09 | 2024-07-01 |
| Released | — | 2025-01-01 |
Robots running Biren BR100
No robots publicly running it yet.
Robots running Tenstorrent Blackhole
No robots publicly running it yet.
Data centers with Biren BR100
No data centers publicly running it yet.
Data centers with Tenstorrent Blackhole
No data centers publicly running it yet.
Common questions
Biren BR100 vs Tenstorrent Blackhole: which is faster for training?
Biren BR100 has 1.37x the dense FP16/BF16 throughput of the other (Biren BR100: 1,024 TFLOPS; Tenstorrent Blackhole: 745 TFLOPS). Real-world training speed also depends on memory bandwidth, interconnect, and software stack: see the spec diff for those inputs.
Biren BR100 vs Tenstorrent Blackhole: which has more memory?
Biren BR100 carries more HBM (Biren BR100: 64 GB HBM2e; Tenstorrent Blackhole: 32 GB GDDR6). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
Biren BR100 vs Tenstorrent Blackhole: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: Biren BR100 1.86 (1,024 ÷ 550 W); Tenstorrent Blackhole 2.48 (745 ÷ 300 W). Tenstorrent Blackhole wins at the die level; system-level efficiency also depends on cooling and interconnect.
See also: every chip comparison · Biren BR100 full page · Tenstorrent Blackhole full page.