Chip comparison
AWS Inferentia 2 vs Meta MTIA v2
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 | AWS Inferentia 2 | Meta MTIA v2 |
|---|---|---|
| Process node | TSMC N7 | TSMC N5 |
| TDP | 250 W | 90 W |
| Memory | 32 GB HBM3 | 128 GB LPDDR5 |
| Memory bandwidth | 820 GB/s | 205 GB/s |
| BF16 (dense) | 190 TFLOPS | — |
| FP8 (dense) | 380 TFLOPS | — |
| INT8 (dense) | — | 708 TOPS |
| Form factor | Inf2 EC2 instance | PCIe (internal Meta) |
| Announced | 2022-12-01 | 2024-04-10 |
| Released | 2023-04-01 | 2024-05-01 |
Robots running AWS Inferentia 2
No robots publicly running it yet.
Robots running Meta MTIA v2
No robots publicly running it yet.
Data centers with AWS Inferentia 2
No data centers publicly running it yet.
Data centers with Meta MTIA v2
Common questions
AWS Inferentia 2 vs Meta MTIA v2: which has more memory?
Meta MTIA v2 carries more HBM (AWS Inferentia 2: 32 GB HBM3; Meta MTIA v2: 128 GB LPDDR5). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
AWS Inferentia 2 vs Meta MTIA v2: which is more widely used?
AWS Inferentia 2: 0 robots and 0 data centers publicly running it. Meta MTIA v2: 0 robots and 2 data centers. Empty here means no operator has said publicly, not zero adoption in the market.
See also: every chip comparison · AWS Inferentia 2 full page · Meta MTIA v2 full page.