Chip comparison
Google TPU v5e 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 | Google TPU v5e | Meta MTIA v2 |
|---|---|---|
| Process node | — | TSMC N5 |
| TDP | 170 W | 90 W |
| Memory | 16 GB HBM2 | 128 GB LPDDR5 |
| Memory bandwidth | 819 GB/s | 205 GB/s |
| BF16 (dense) | 197 TFLOPS | — |
| INT8 (dense) | 393 TOPS | 708 TOPS |
| Form factor | OAM (v5e pod, up to 256 chips) | PCIe (internal Meta) |
| Announced | 2023-08-29 | 2024-04-10 |
| Released | 2023-11-01 | 2024-05-01 |
Robots running Google TPU v5e
No robots publicly running it yet.
Robots running Meta MTIA v2
No robots publicly running it yet.
Data centers with Google TPU v5e
Data centers with Meta MTIA v2
Common questions
Google TPU v5e vs Meta MTIA v2: which has more memory?
Meta MTIA v2 carries more HBM (Google TPU v5e: 16 GB HBM2; Meta MTIA v2: 128 GB LPDDR5). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
Google TPU v5e vs Meta MTIA v2: which is more widely used?
Google TPU v5e: 0 robots and 1 data center 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 · Google TPU v5e full page · Meta MTIA v2 full page.