Chip comparison
Google TPU v7 (Ironwood) vs NVIDIA B100 (Blackwell)
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) | NVIDIA B100 (Blackwell) |
|---|---|---|
| Process node | — | TSMC 4NP |
| TDP | 700 W | 700 W |
| Memory | 192 GB HBM3e | 192 GB HBM3e |
| Memory bandwidth | 7,400 GB/s | 8,000 GB/s |
| FP16 (dense) | — | 1,750 TFLOPS |
| BF16 (dense) | 4,614 TFLOPS | 1,750 TFLOPS |
| FP8 (dense) | 9,228 TFLOPS | 3,500 TFLOPS |
| Form factor | OAM (Ironwood pod, up to 9,216 chips) | SXM6 (700 W envelope) |
| Announced | 2025-04-09 | 2024-03-18 |
| Released | 2025-12-01 | 2024-11-01 |
Robots running Google TPU v7 (Ironwood)
No robots publicly running it yet.
Robots running NVIDIA B100 (Blackwell)
No robots publicly running it yet.
Data centers with Google TPU v7 (Ironwood)
No data centers publicly running it yet.
Data centers with NVIDIA B100 (Blackwell)
No data centers publicly running it yet.
Common questions
Google TPU v7 (Ironwood) vs NVIDIA B100 (Blackwell): which is faster for training?
Google TPU v7 (Ironwood) has 2.64x the dense FP8 throughput of the other (Google TPU v7 (Ironwood): 9,228 TFLOPS; NVIDIA B100 (Blackwell): 3,500 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 NVIDIA B100 (Blackwell): which has more memory?
NVIDIA B100 (Blackwell) carries more HBM (Google TPU v7 (Ironwood): 192 GB HBM3e; NVIDIA B100 (Blackwell): 192 GB HBM3e). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
Google TPU v7 (Ironwood) vs NVIDIA B100 (Blackwell): which is more power-efficient?
Dense FP8 TFLOPS per watt: Google TPU v7 (Ironwood) 13.18 (9,228 ÷ 700 W); NVIDIA B100 (Blackwell) 5.00 (3,500 ÷ 700 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 · NVIDIA B100 (Blackwell) full page.