Chip comparison
AWS Trainium (Trn1) vs NVIDIA B200 (Blackwell)
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) | NVIDIA B200 (Blackwell) |
|---|---|---|
| Process node | TSMC N7 | TSMC 4NP |
| Transistors (B) | — | 208 |
| TDP | 500 W | 1000 W |
| Memory | 32 GB HBM2e | 192 GB HBM3e |
| Memory bandwidth | 820 GB/s | 8,000 GB/s |
| FP16 (dense) | — | 2,250 TFLOPS |
| BF16 (dense) | 210 TFLOPS | 2,250 TFLOPS |
| FP8 (dense) | — | 4,500 TFLOPS |
| INT8 (dense) | — | 4,500 TOPS |
| Form factor | Trn1 EC2 instance | SXM6 |
| Announced | 2020-12-01 | 2024-03-18 |
| Released | 2022-10-01 | 2024-11-01 |
Robots running AWS Trainium (Trn1)
No robots publicly running it yet.
Robots running NVIDIA B200 (Blackwell)
No robots publicly running it yet.
Data centers with AWS Trainium (Trn1)
No data centers publicly running it yet.
Data centers with NVIDIA B200 (Blackwell)
Common questions
AWS Trainium (Trn1) vs NVIDIA B200 (Blackwell): which is faster for training?
NVIDIA B200 (Blackwell) has 21.43x the dense FP16/BF16 throughput of the other (AWS Trainium (Trn1): 210 TFLOPS; NVIDIA B200 (Blackwell): 4,500 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 NVIDIA B200 (Blackwell): which has more memory?
NVIDIA B200 (Blackwell) carries more HBM (AWS Trainium (Trn1): 32 GB HBM2e; NVIDIA B200 (Blackwell): 192 GB HBM3e). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
AWS Trainium (Trn1) vs NVIDIA B200 (Blackwell): which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: AWS Trainium (Trn1) 0.42 (210 ÷ 500 W); NVIDIA B200 (Blackwell) 4.50 (4,500 ÷ 1000 W). NVIDIA B200 (Blackwell) wins at the die level; system-level efficiency also depends on cooling and interconnect.
AWS Trainium (Trn1) vs NVIDIA B200 (Blackwell): which is more widely used?
AWS Trainium (Trn1): 0 robots and 0 data centers publicly running it. NVIDIA B200 (Blackwell): 0 robots and 3 data centers. Empty here means no operator has said publicly, not zero adoption in the market.
See also: every chip comparison · AWS Trainium (Trn1) full page · NVIDIA B200 (Blackwell) full page.