Chip comparison
Biren BR100 vs Tenstorrent Wormhole
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 Wormhole |
|---|---|---|
| Process node | TSMC N7 | GlobalFoundries 12nm |
| Transistors (B) | 77 | — |
| TDP | 550 W | 160 W |
| Memory | 64 GB HBM2e | 12 GB GDDR6 |
| Memory bandwidth | 2,300 GB/s | 288 GB/s |
| FP16 (dense) | 1,024 TFLOPS | 148 TFLOPS |
| BF16 (dense) | 1,024 TFLOPS | — |
| INT8 (dense) | 2,048 TOPS | 590 TOPS |
| Form factor | OAM | PCIe (n300, n150) |
| Announced | 2022-08-09 | 2024-07-01 |
| Released | — | 2024-08-01 |
Robots running Biren BR100
No robots publicly running it yet.
Robots running Tenstorrent Wormhole
No robots publicly running it yet.
Data centers with Biren BR100
No data centers publicly running it yet.
Data centers with Tenstorrent Wormhole
No data centers publicly running it yet.
Common questions
Biren BR100 vs Tenstorrent Wormhole: which is faster for training?
Biren BR100 has 6.92x the dense FP16/BF16 throughput of the other (Biren BR100: 1,024 TFLOPS; Tenstorrent Wormhole: 148 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 Wormhole: which has more memory?
Biren BR100 carries more HBM (Biren BR100: 64 GB HBM2e; Tenstorrent Wormhole: 12 GB GDDR6). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
Biren BR100 vs Tenstorrent Wormhole: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: Biren BR100 1.86 (1,024 ÷ 550 W); Tenstorrent Wormhole 0.93 (148 ÷ 160 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 · Tenstorrent Wormhole full page.