Chip comparison
Meta MTIA v2 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 | Meta MTIA v2 | NVIDIA Jetson AGX Thor |
|---|---|---|
| Process node | TSMC N5 | TSMC 4NP |
| TDP | 90 W | 130 W |
| Memory | 128 GB LPDDR5 | 128 GB LPDDR5X |
| Memory bandwidth | 205 GB/s | 273 GB/s |
| FP8 (dense) | — | 2,070 TFLOPS |
| INT8 (dense) | 708 TOPS | 2,070 TOPS |
| Form factor | PCIe (internal Meta) | Module (AGX Thor) |
| Announced | 2024-04-10 | 2024-03-18 |
| Released | 2024-05-01 | 2025-08-01 |
Robots running Meta MTIA v2
No robots publicly running it yet.
Data centers with Meta MTIA v2
Data centers with NVIDIA Jetson AGX Thor
No data centers publicly running it yet.
Common questions
Meta MTIA v2 vs NVIDIA Jetson AGX Thor: which has more memory?
NVIDIA Jetson AGX Thor carries more HBM (Meta MTIA v2: 128 GB LPDDR5; 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.
Meta MTIA v2 vs NVIDIA Jetson AGX Thor: which is more widely used?
Meta MTIA v2: 0 robots and 2 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 · Meta MTIA v2 full page · NVIDIA Jetson AGX Thor full page.