Chip comparison
Google TPU v7 (Ironwood) vs Tenstorrent Wormhole
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 v7 (Ironwood) | Tenstorrent Wormhole |
|---|---|---|
| Process node | — | GlobalFoundries 12nm |
| TDP | 700 W | 160 W |
| Memory | 192 GB HBM3e | 12 GB GDDR6 |
| Memory bandwidth | 7,400 GB/s | 288 GB/s |
| FP16 (dense) | — | 148 TFLOPS |
| BF16 (dense) | 4,614 TFLOPS | — |
| FP8 (dense) | 9,228 TFLOPS | — |
| INT8 (dense) | — | 590 TOPS |
| Form factor | OAM (Ironwood pod, up to 9,216 chips) | PCIe (n300, n150) |
| Announced | 2025-04-09 | 2024-07-01 |
| Released | 2025-12-01 | 2024-08-01 |
Robots running Google TPU v7 (Ironwood)
No robots publicly running it yet.
Robots running Tenstorrent Wormhole
No robots publicly running it yet.
Data centers with Google TPU v7 (Ironwood)
No data centers publicly running it yet.
Data centers with Tenstorrent Wormhole
No data centers publicly running it yet.
Common questions
Google TPU v7 (Ironwood) vs Tenstorrent Wormhole: which is faster for training?
Google TPU v7 (Ironwood) has 62.35x the dense FP16/BF16 throughput of the other (Google TPU v7 (Ironwood): 9,228 TFLOPS; Tenstorrent Wormhole: 148 TFLOPS). Real-world training speed also depends on memory bandwidth, interconnect, and software stack: see the spec diff for those inputs.
Google TPU v7 (Ironwood) vs Tenstorrent Wormhole: which has more memory?
Google TPU v7 (Ironwood) carries more HBM (Google TPU v7 (Ironwood): 192 GB HBM3e; Tenstorrent Wormhole: 12 GB GDDR6). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
Google TPU v7 (Ironwood) vs Tenstorrent Wormhole: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: Google TPU v7 (Ironwood) 13.18 (9,228 ÷ 700 W); Tenstorrent Wormhole 0.93 (148 ÷ 160 W). Google TPU v7 (Ironwood) wins at the die level; system-level efficiency also depends on cooling and interconnect.
See also: every chip comparison · Google TPU v7 (Ironwood) full page · Tenstorrent Wormhole full page.