Chip comparison
Google TPU v7 (Ironwood) vs NVIDIA Jetson AGX Orin
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 Jetson AGX Orin |
|---|---|---|
| Process node | — | Samsung 8N |
| TDP | 700 W | 60 W |
| Memory | 192 GB HBM3e | 64 GB LPDDR5 |
| Memory bandwidth | 7,400 GB/s | 204.8 GB/s |
| BF16 (dense) | 4,614 TFLOPS | — |
| FP8 (dense) | 9,228 TFLOPS | — |
| INT8 (dense) | — | 275 TOPS |
| Form factor | OAM (Ironwood pod, up to 9,216 chips) | Module (AGX Orin 64GB) |
| Announced | 2025-04-09 | 2022-03-22 |
| Released | 2025-12-01 | 2022-07-01 |
Robots running Google TPU v7 (Ironwood)
No robots publicly running it yet.
Robots running NVIDIA Jetson AGX Orin
Data centers with Google TPU v7 (Ironwood)
No data centers publicly running it yet.
Data centers with NVIDIA Jetson AGX Orin
No data centers publicly running it yet.
Common questions
Google TPU v7 (Ironwood) vs NVIDIA Jetson AGX Orin: which has more memory?
Google TPU v7 (Ironwood) carries more HBM (Google TPU v7 (Ironwood): 192 GB HBM3e; NVIDIA Jetson AGX Orin: 64 GB LPDDR5). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
Google TPU v7 (Ironwood) vs NVIDIA Jetson AGX Orin: which is more widely used?
Google TPU v7 (Ironwood): 0 robots and 0 data centers publicly running it. NVIDIA Jetson AGX Orin: 9 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 Jetson AGX Orin full page.