Chip comparison
AWS Trainium (Trn1) vs Biren BR100
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 | AWS Trainium (Trn1) | Biren BR100 |
|---|---|---|
| Process node | TSMC N7 | TSMC N7 |
| Transistors (B) | — | 77 |
| TDP | 500 W | 550 W |
| Memory | 32 GB HBM2e | 64 GB HBM2e |
| Memory bandwidth | 820 GB/s | 2,300 GB/s |
| FP16 (dense) | — | 1,024 TFLOPS |
| BF16 (dense) | 210 TFLOPS | 1,024 TFLOPS |
| INT8 (dense) | — | 2,048 TOPS |
| Form factor | Trn1 EC2 instance | OAM |
| Announced | 2020-12-01 | 2022-08-09 |
| Released | 2022-10-01 | — |
Robots running AWS Trainium (Trn1)
No robots publicly running it yet.
Robots running Biren BR100
No robots publicly running it yet.
Data centers with AWS Trainium (Trn1)
No data centers publicly running it yet.
Data centers with Biren BR100
No data centers publicly running it yet.
Common questions
AWS Trainium (Trn1) vs Biren BR100: which is faster for training?
Biren BR100 has 4.88x the dense FP16/BF16 throughput of the other (AWS Trainium (Trn1): 210 TFLOPS; Biren BR100: 1,024 TFLOPS). Real-world training speed also depends on memory bandwidth, interconnect, and software stack: see the spec diff for those inputs.
AWS Trainium (Trn1) vs Biren BR100: which has more memory?
Biren BR100 carries more HBM (AWS Trainium (Trn1): 32 GB HBM2e; Biren BR100: 64 GB HBM2e). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
AWS Trainium (Trn1) vs Biren BR100: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: AWS Trainium (Trn1) 0.42 (210 ÷ 500 W); Biren BR100 1.86 (1,024 ÷ 550 W). Biren BR100 wins at the die level; system-level efficiency also depends on cooling and interconnect.
See also: every chip comparison · AWS Trainium (Trn1) full page · Biren BR100 full page.