Chip comparison
AWS Trainium (Trn1) vs NVIDIA Jetson AGX Orin
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 Jetson AGX Orin |
|---|---|---|
| Process node | TSMC N7 | Samsung 8N |
| TDP | 500 W | 60 W |
| Memory | 32 GB HBM2e | 64 GB LPDDR5 |
| Memory bandwidth | 820 GB/s | 204.8 GB/s |
| BF16 (dense) | 210 TFLOPS | — |
| INT8 (dense) | — | 275 TOPS |
| Form factor | Trn1 EC2 instance | Module (AGX Orin 64GB) |
| Announced | 2020-12-01 | 2022-03-22 |
| Released | 2022-10-01 | 2022-07-01 |
Robots running AWS Trainium (Trn1)
No robots publicly running it yet.
Robots running NVIDIA Jetson AGX Orin
Data centers with AWS Trainium (Trn1)
No data centers publicly running it yet.
Data centers with NVIDIA Jetson AGX Orin
No data centers publicly running it yet.
Common questions
AWS Trainium (Trn1) vs NVIDIA Jetson AGX Orin: which has more memory?
NVIDIA Jetson AGX Orin carries more HBM (AWS Trainium (Trn1): 32 GB HBM2e; NVIDIA Jetson AGX Orin: 64 GB LPDDR5). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
AWS Trainium (Trn1) vs NVIDIA Jetson AGX Orin: which is more widely used?
AWS Trainium (Trn1): 0 robots and 0 data centers publicly running it. NVIDIA Jetson AGX Orin: 9 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 Jetson AGX Orin full page.