Chip comparison
AWS Inferentia 2 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 Inferentia 2 | Biren BR100 |
|---|---|---|
| Process node | TSMC N7 | TSMC N7 |
| Transistors (B) | — | 77 |
| TDP | 250 W | 550 W |
| Memory | 32 GB HBM3 | 64 GB HBM2e |
| Memory bandwidth | 820 GB/s | 2,300 GB/s |
| FP16 (dense) | — | 1,024 TFLOPS |
| BF16 (dense) | 190 TFLOPS | 1,024 TFLOPS |
| FP8 (dense) | 380 TFLOPS | — |
| INT8 (dense) | — | 2,048 TOPS |
| Form factor | Inf2 EC2 instance | OAM |
| Announced | 2022-12-01 | 2022-08-09 |
| Released | 2023-04-01 | — |
Robots running AWS Inferentia 2
No robots publicly running it yet.
Robots running Biren BR100
No robots publicly running it yet.
Data centers with AWS Inferentia 2
No data centers publicly running it yet.
Data centers with Biren BR100
No data centers publicly running it yet.
Common questions
AWS Inferentia 2 vs Biren BR100: which is faster for training?
Biren BR100 has 2.69x the dense FP16/BF16 throughput of the other (AWS Inferentia 2: 380 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 Inferentia 2 vs Biren BR100: which has more memory?
Biren BR100 carries more HBM (AWS Inferentia 2: 32 GB HBM3; Biren BR100: 64 GB HBM2e). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
AWS Inferentia 2 vs Biren BR100: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: AWS Inferentia 2 1.52 (380 ÷ 250 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 Inferentia 2 full page · Biren BR100 full page.