Chip comparison
Google TPU v4 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 v4 | Tenstorrent Blackhole |
|---|---|---|
| Process node | TSMC N7 | TSMC N6 |
| TDP | 192 W | 300 W |
| Memory | 32 GB HBM2 | 32 GB GDDR6 |
| Memory bandwidth | 1,200 GB/s | 512 GB/s |
| FP16 (dense) | — | 745 TFLOPS |
| BF16 (dense) | 275 TFLOPS | — |
| INT8 (dense) | 275 TOPS | 2,980 TOPS |
| Form factor | OAM (per-chip in v4 pod) | PCIe |
| Announced | 2021-05-18 | 2024-07-01 |
| Released | 2022-05-01 | 2025-01-01 |
Robots running Google TPU v4
No robots publicly running it yet.
Robots running Tenstorrent Blackhole
No robots publicly running it yet.
Data centers with Google TPU v4
Data centers with Tenstorrent Blackhole
No data centers publicly running it yet.
Common questions
Google TPU v4 vs Tenstorrent Blackhole: which is faster for training?
Tenstorrent Blackhole has 2.71x the dense FP16/BF16 throughput of the other (Google TPU v4: 275 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 v4 vs Tenstorrent Blackhole: which has more memory?
Tenstorrent Blackhole carries more HBM (Google TPU v4: 32 GB HBM2; 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 v4 vs Tenstorrent Blackhole: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: Google TPU v4 1.43 (275 ÷ 192 W); Tenstorrent Blackhole 2.48 (745 ÷ 300 W). Tenstorrent Blackhole wins at the die level; system-level efficiency also depends on cooling and interconnect.
Google TPU v4 vs Tenstorrent Blackhole: which is more widely used?
Google TPU v4: 0 robots and 2 data centers publicly running it. Tenstorrent Blackhole: 0 robots and 0 data centers. Empty here means no operator has said publicly, not zero adoption in the market.
See also: every chip comparison · Google TPU v4 full page · Tenstorrent Blackhole full page.