Chip comparison
AWS Trainium (Trn1) 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 Trainium (Trn1) | Meta MTIA v2 |
|---|---|---|
| Process node | TSMC N7 | TSMC N5 |
| TDP | 500 W | 90 W |
| Memory | 32 GB HBM2e | 128 GB LPDDR5 |
| Memory bandwidth | 820 GB/s | 205 GB/s |
| BF16 (dense) | 210 TFLOPS | — |
| INT8 (dense) | — | 708 TOPS |
| Form factor | Trn1 EC2 instance | PCIe (internal Meta) |
| Announced | 2020-12-01 | 2024-04-10 |
| Released | 2022-10-01 | 2024-05-01 |
Robots running AWS Trainium (Trn1)
No robots publicly running it yet.
Robots running Meta MTIA v2
No robots publicly running it yet.
Data centers with AWS Trainium (Trn1)
No data centers publicly running it yet.
Data centers with Meta MTIA v2
Common questions
AWS Trainium (Trn1) vs Meta MTIA v2: which has more memory?
Meta MTIA v2 carries more HBM (AWS Trainium (Trn1): 32 GB HBM2e; 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 Trainium (Trn1) vs Meta MTIA v2: which is more widely used?
AWS Trainium (Trn1): 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 Trainium (Trn1) full page · Meta MTIA v2 full page.