Chip comparison
Meta MTIA v2 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 | Meta MTIA v2 | NVIDIA Jetson AGX Orin |
|---|---|---|
| Process node | TSMC N5 | Samsung 8N |
| TDP | 90 W | 60 W |
| Memory | 128 GB LPDDR5 | 64 GB LPDDR5 |
| Memory bandwidth | 205 GB/s | 204.8 GB/s |
| INT8 (dense) | 708 TOPS | 275 TOPS |
| Form factor | PCIe (internal Meta) | Module (AGX Orin 64GB) |
| Announced | 2024-04-10 | 2022-03-22 |
| Released | 2024-05-01 | 2022-07-01 |
Robots running Meta MTIA v2
No robots publicly running it yet.
Robots running NVIDIA Jetson AGX Orin
Data centers with Meta MTIA v2
Data centers with NVIDIA Jetson AGX Orin
No data centers publicly running it yet.
Common questions
Meta MTIA v2 vs NVIDIA Jetson AGX Orin: which has more memory?
Meta MTIA v2 carries more HBM (Meta MTIA v2: 128 GB LPDDR5; 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.
Meta MTIA v2 vs NVIDIA Jetson AGX Orin: which is more widely used?
Meta MTIA v2: 0 robots and 2 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 · Meta MTIA v2 full page · NVIDIA Jetson AGX Orin full page.