Chip comparison
AMD Instinct MI250X 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 | AMD Instinct MI250X | NVIDIA Jetson AGX Thor |
|---|---|---|
| Process node | TSMC N6 | TSMC 4NP |
| TDP | 560 W | 130 W |
| Memory | 128 GB HBM2e | 128 GB LPDDR5X |
| Memory bandwidth | 3,200 GB/s | 273 GB/s |
| FP16 (dense) | 383 TFLOPS | — |
| BF16 (dense) | 383 TFLOPS | — |
| FP8 (dense) | — | 2,070 TFLOPS |
| INT8 (dense) | 383 TOPS | 2,070 TOPS |
| Form factor | OAM | Module (AGX Thor) |
| Announced | 2021-11-08 | 2024-03-18 |
| Released | 2022-06-01 | 2025-08-01 |
Robots running AMD Instinct MI250X
No robots publicly running it yet.
Data centers with AMD Instinct MI250X
No data centers publicly running it yet.
Data centers with NVIDIA Jetson AGX Thor
No data centers publicly running it yet.
Common questions
AMD Instinct MI250X vs NVIDIA Jetson AGX Thor: which is faster for training?
NVIDIA Jetson AGX Thor has 5.40x the dense FP16/BF16 throughput of the other (AMD Instinct MI250X: 383 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.
AMD Instinct MI250X vs NVIDIA Jetson AGX Thor: which has more memory?
NVIDIA Jetson AGX Thor carries more HBM (AMD Instinct MI250X: 128 GB HBM2e; 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.
AMD Instinct MI250X vs NVIDIA Jetson AGX Thor: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: AMD Instinct MI250X 0.68 (383 ÷ 560 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.
AMD Instinct MI250X vs NVIDIA Jetson AGX Thor: which is more widely used?
AMD Instinct MI250X: 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 · AMD Instinct MI250X full page · NVIDIA Jetson AGX Thor full page.