Chip comparison
AWS Inferentia 2 vs NVIDIA Jetson AGX 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 Inferentia 2 | NVIDIA Jetson AGX Thor |
|---|---|---|
| Process node | TSMC N7 | TSMC 4NP |
| TDP | 250 W | 130 W |
| Memory | 32 GB HBM3 | 128 GB LPDDR5X |
| Memory bandwidth | 820 GB/s | 273 GB/s |
| BF16 (dense) | 190 TFLOPS | — |
| FP8 (dense) | 380 TFLOPS | 2,070 TFLOPS |
| INT8 (dense) | — | 2,070 TOPS |
| Form factor | Inf2 EC2 instance | Module (AGX Thor) |
| Announced | 2022-12-01 | 2024-03-18 |
| Released | 2023-04-01 | 2025-08-01 |
Robots running AWS Inferentia 2
No robots publicly running it yet.
Data centers with AWS Inferentia 2
No data centers publicly running it yet.
Data centers with NVIDIA Jetson AGX Thor
No data centers publicly running it yet.
Common questions
AWS Inferentia 2 vs NVIDIA Jetson AGX Thor: which is faster for training?
NVIDIA Jetson AGX Thor has 5.45x the dense FP8 throughput of the other (AWS Inferentia 2: 380 TFLOPS; NVIDIA Jetson AGX Thor: 2,070 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 NVIDIA Jetson AGX Thor: which has more memory?
NVIDIA Jetson AGX Thor carries more HBM (AWS Inferentia 2: 32 GB HBM3; NVIDIA Jetson AGX Thor: 128 GB LPDDR5X). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
AWS Inferentia 2 vs NVIDIA Jetson AGX Thor: which is more power-efficient?
Dense FP8 TFLOPS per watt: AWS Inferentia 2 1.52 (380 ÷ 250 W); NVIDIA Jetson AGX Thor 15.92 (2,070 ÷ 130 W). NVIDIA Jetson AGX Thor wins at the die level; system-level efficiency also depends on cooling and interconnect.
AWS Inferentia 2 vs NVIDIA Jetson AGX Thor: which is more widely used?
AWS Inferentia 2: 0 robots and 0 data centers publicly running it. NVIDIA Jetson AGX 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 Inferentia 2 full page · NVIDIA Jetson AGX Thor full page.