Chip comparison
Meta MTIA v2 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 | Meta MTIA v2 | Tesla HW4 (FSD Computer 2) |
|---|---|---|
| Process node | TSMC N5 | Samsung 7LPP |
| TDP | 90 W | 90 W |
| Memory | 128 GB LPDDR5 | 16 GB GDDR6 |
| Memory bandwidth | 205 GB/s | — |
| INT8 (dense) | 708 TOPS | 300 TOPS |
| Form factor | PCIe (internal Meta) | Auto-board (dual-SoC) |
| Announced | 2024-04-10 | 2023-01-01 |
| Released | 2024-05-01 | 2023-02-01 |
Robots running Meta MTIA v2
No robots publicly running it yet.
Robots running Tesla HW4 (FSD Computer 2)
Data centers with Meta MTIA v2
Data centers with Tesla HW4 (FSD Computer 2)
No data centers publicly running it yet.
Common questions
Meta MTIA v2 vs Tesla HW4 (FSD Computer 2): which has more memory?
Meta MTIA v2 carries more HBM (Meta MTIA v2: 128 GB LPDDR5; 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.
Meta MTIA v2 vs Tesla HW4 (FSD Computer 2): which is more widely used?
Meta MTIA v2: 0 robots and 2 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 · Meta MTIA v2 full page · Tesla HW4 (FSD Computer 2) full page.