Chip comparison
Google TPU v7 (Ironwood) vs Tenstorrent Blackhole
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 Blackhole |
|---|---|---|
| Process node | — | TSMC N6 |
| TDP | 700 W | 300 W |
| Memory | 192 GB HBM3e | 32 GB GDDR6 |
| Memory bandwidth | 7,400 GB/s | 512 GB/s |
| FP16 (dense) | — | 745 TFLOPS |
| BF16 (dense) | 4,614 TFLOPS | — |
| FP8 (dense) | 9,228 TFLOPS | — |
| INT8 (dense) | — | 2,980 TOPS |
| Form factor | OAM (Ironwood pod, up to 9,216 chips) | PCIe |
| Announced | 2025-04-09 | 2024-07-01 |
| Released | 2025-12-01 | 2025-01-01 |
Robots running Google TPU v7 (Ironwood)
No robots publicly running it yet.
Robots running Tenstorrent Blackhole
No robots publicly running it yet.
Data centers with Google TPU v7 (Ironwood)
No data centers publicly running it yet.
Data centers with Tenstorrent Blackhole
No data centers publicly running it yet.
Common questions
Google TPU v7 (Ironwood) vs Tenstorrent Blackhole: which is faster for training?
Google TPU v7 (Ironwood) has 12.39x the dense FP16/BF16 throughput of the other (Google TPU v7 (Ironwood): 9,228 TFLOPS; Tenstorrent Blackhole: 745 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 Blackhole: which has more memory?
Google TPU v7 (Ironwood) carries more HBM (Google TPU v7 (Ironwood): 192 GB HBM3e; Tenstorrent Blackhole: 32 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 Blackhole: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: Google TPU v7 (Ironwood) 13.18 (9,228 ÷ 700 W); Tenstorrent Blackhole 2.48 (745 ÷ 300 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 Blackhole full page.