Chip comparison
NVIDIA Jetson AGX Thor vs Tesla HW4 (FSD Computer 2)
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 | NVIDIA Jetson AGX Thor | Tesla HW4 (FSD Computer 2) |
|---|---|---|
| Process node | TSMC 4NP | Samsung 7LPP |
| TDP | 130 W | 90 W |
| Memory | 128 GB LPDDR5X | 16 GB GDDR6 |
| Memory bandwidth | 273 GB/s | — |
| FP8 (dense) | 2,070 TFLOPS | — |
| INT8 (dense) | 2,070 TOPS | 300 TOPS |
| Form factor | Module (AGX Thor) | Auto-board (dual-SoC) |
| Announced | 2024-03-18 | 2023-01-01 |
| Released | 2025-08-01 | 2023-02-01 |
Robots running Tesla HW4 (FSD Computer 2)
Data centers with NVIDIA Jetson AGX Thor
No data centers publicly running it yet.
Data centers with Tesla HW4 (FSD Computer 2)
No data centers publicly running it yet.
Common questions
NVIDIA Jetson AGX Thor vs Tesla HW4 (FSD Computer 2): which has more memory?
NVIDIA Jetson AGX Thor carries more HBM (NVIDIA Jetson AGX Thor: 128 GB LPDDR5X; Tesla HW4 (FSD Computer 2): 16 GB GDDR6). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
NVIDIA Jetson AGX Thor vs Tesla HW4 (FSD Computer 2): which is more widely used?
NVIDIA Jetson AGX Thor: 11 robots and 0 data centers publicly running it. Tesla HW4 (FSD Computer 2): 3 robots and 0 data centers. Empty here means no operator has said publicly, not zero adoption in the market.
See also: every chip comparison · NVIDIA Jetson AGX Thor full page · Tesla HW4 (FSD Computer 2) full page.