Chip comparison
Biren BR100 vs Tesla Dojo D1
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 | Tesla Dojo D1 |
|---|---|---|
| Process node | TSMC N7 | TSMC N7 |
| Transistors (B) | 77 | 50 |
| Die size | — | 645 mm² |
| TDP | 550 W | 400 W |
| Memory | 64 GB HBM2e | — |
| Memory bandwidth | 2,300 GB/s | — |
| FP16 (dense) | 1,024 TFLOPS | — |
| BF16 (dense) | 1,024 TFLOPS | 362 TFLOPS |
| FP8 (dense) | — | 362 TFLOPS |
| INT8 (dense) | 2,048 TOPS | — |
| Form factor | OAM | Training tile (25 D1 chips per tile) |
| Announced | 2022-08-09 | 2021-08-19 |
| Released | — | 2023-07-01 |
Robots running Biren BR100
No robots publicly running it yet.
Robots running Tesla Dojo D1
No robots publicly running it yet.
Data centers with Biren BR100
No data centers publicly running it yet.
Data centers with Tesla Dojo D1
No data centers publicly running it yet.
Common questions
Biren BR100 vs Tesla Dojo D1: which is faster for training?
Biren BR100 has 2.83x the dense FP16/BF16 throughput of the other (Biren BR100: 1,024 TFLOPS; Tesla Dojo D1: 362 TFLOPS). Real-world training speed also depends on memory bandwidth, interconnect, and software stack: see the spec diff for those inputs.
Biren BR100 vs Tesla Dojo D1: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: Biren BR100 1.86 (1,024 ÷ 550 W); Tesla Dojo D1 0.91 (362 ÷ 400 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 · Tesla Dojo D1 full page.