Chip comparison
AWS Trainium 2 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 2 | NVIDIA Jetson AGX Orin |
|---|---|---|
| Process node | TSMC N5 | Samsung 8N |
| TDP | 500 W | 60 W |
| Memory | 96 GB HBM3 | 64 GB LPDDR5 |
| Memory bandwidth | 2,900 GB/s | 204.8 GB/s |
| BF16 (dense) | 667 TFLOPS | — |
| FP8 (dense) | 1,300 TFLOPS | — |
| INT8 (dense) | 1,300 TOPS | 275 TOPS |
| Form factor | AWS Neuron 2 (Trn2 UltraServer with 64 chips per unit) | Module (AGX Orin 64GB) |
| Announced | 2024-12-03 | 2022-03-22 |
| Released | 2025-01-01 | 2022-07-01 |
Robots running AWS Trainium 2
No robots publicly running it yet.
Robots running NVIDIA Jetson AGX Orin
Data centers with AWS Trainium 2
Data centers with NVIDIA Jetson AGX Orin
No data centers publicly running it yet.
Common questions
AWS Trainium 2 vs NVIDIA Jetson AGX Orin: which has more memory?
AWS Trainium 2 carries more HBM (AWS Trainium 2: 96 GB HBM3; 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 2 vs NVIDIA Jetson AGX Orin: which is more widely used?
AWS Trainium 2: 0 robots and 3 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 2 full page · NVIDIA Jetson AGX Orin full page.