Chip comparison
Google TPU v7 (Ironwood) vs NVIDIA DRIVE Thor
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 DRIVE Thor |
|---|---|---|
| Process node | — | TSMC 4NP |
| TDP | 700 W | 130 W |
| Memory | 192 GB HBM3e | 128 GB LPDDR5X |
| Memory bandwidth | 7,400 GB/s | — |
| BF16 (dense) | 4,614 TFLOPS | — |
| FP8 (dense) | 9,228 TFLOPS | 2,000 TFLOPS |
| INT8 (dense) | — | 2,000 TOPS |
| Form factor | OAM (Ironwood pod, up to 9,216 chips) | Auto-board |
| Announced | 2025-04-09 | 2022-09-20 |
| Released | 2025-12-01 | 2025-06-01 |
Robots running Google TPU v7 (Ironwood)
No robots publicly running it yet.
Robots running NVIDIA DRIVE Thor
Data centers with Google TPU v7 (Ironwood)
No data centers publicly running it yet.
Data centers with NVIDIA DRIVE Thor
No data centers publicly running it yet.
Common questions
Google TPU v7 (Ironwood) vs NVIDIA DRIVE Thor: which is faster for training?
Google TPU v7 (Ironwood) has 4.61x the dense FP8 throughput of the other (Google TPU v7 (Ironwood): 9,228 TFLOPS; NVIDIA DRIVE Thor: 2,000 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 DRIVE Thor: which has more memory?
Google TPU v7 (Ironwood) carries more HBM (Google TPU v7 (Ironwood): 192 GB HBM3e; NVIDIA DRIVE Thor: 128 GB LPDDR5X). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
Google TPU v7 (Ironwood) vs NVIDIA DRIVE Thor: which is more power-efficient?
Dense FP8 TFLOPS per watt: Google TPU v7 (Ironwood) 13.18 (9,228 ÷ 700 W); NVIDIA DRIVE Thor 15.38 (2,000 ÷ 130 W). NVIDIA DRIVE Thor wins at the die level; system-level efficiency also depends on cooling and interconnect.
Google TPU v7 (Ironwood) vs NVIDIA DRIVE Thor: which is more widely used?
Google TPU v7 (Ironwood): 0 robots and 0 data centers publicly running it. NVIDIA DRIVE Thor: 11 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 v7 (Ironwood) full page · NVIDIA DRIVE Thor full page.