Chip comparison
AWS Trainium (Trn1) vs NVIDIA DRIVE Thor
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 DRIVE Thor |
|---|---|---|
| Process node | TSMC N7 | TSMC 4NP |
| TDP | 500 W | 130 W |
| Memory | 32 GB HBM2e | 128 GB LPDDR5X |
| Memory bandwidth | 820 GB/s | — |
| BF16 (dense) | 210 TFLOPS | — |
| FP8 (dense) | — | 2,000 TFLOPS |
| INT8 (dense) | — | 2,000 TOPS |
| Form factor | Trn1 EC2 instance | Auto-board |
| Announced | 2020-12-01 | 2022-09-20 |
| Released | 2022-10-01 | 2025-06-01 |
Robots running AWS Trainium (Trn1)
No robots publicly running it yet.
Robots running NVIDIA DRIVE Thor
Data centers with AWS Trainium (Trn1)
No data centers publicly running it yet.
Data centers with NVIDIA DRIVE Thor
No data centers publicly running it yet.
Common questions
AWS Trainium (Trn1) vs NVIDIA DRIVE Thor: which is faster for training?
NVIDIA DRIVE Thor has 9.52x the dense FP16/BF16 throughput of the other (AWS Trainium (Trn1): 210 TFLOPS; NVIDIA DRIVE Thor: 2,000 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 DRIVE Thor: which has more memory?
NVIDIA DRIVE Thor carries more HBM (AWS Trainium (Trn1): 32 GB HBM2e; NVIDIA DRIVE Thor: 128 GB LPDDR5X). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
AWS Trainium (Trn1) vs NVIDIA DRIVE Thor: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: AWS Trainium (Trn1) 0.42 (210 ÷ 500 W); NVIDIA DRIVE Thor 15.38 (2,000 ÷ 130 W). NVIDIA DRIVE Thor wins at the die level; system-level efficiency also depends on cooling and interconnect.
AWS Trainium (Trn1) vs NVIDIA DRIVE Thor: which is more widely used?
AWS Trainium (Trn1): 0 robots and 0 data centers publicly running it. NVIDIA DRIVE Thor: 11 robots and 0 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 DRIVE Thor full page.