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Google
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|---|---|
| Score | 9.0/10 |
| Type | hardware |
| Category | Data Center AI Accelerators |
| Summary | Google's 7th-gen TPU built from the ground up for the age of inference. |
| Starting price | Varies per chip-hour |
| Visit → |
Feature matrix
8 features| Feature | Google TPU v7 (Ironwood) |
|---|---|
| 192 GB HBM per chip, ~7.37 TB/s bandwidth | ✓ |
| Pods scale to 9,216 chips via Inter-Chip Interconnect | ✓ |
| ~4.6 PFLOPS FP8 peak per chip | ✓ |
| 2x perf/watt vs TPU v6e Trillium | ✓ |
| Optical circuit switch (OCS) pod fabric | ✓ |
| Native JAX, PyTorch/XLA and TensorFlow support | ✓ |
| Liquid-cooled, cloud-only consumption model | ✓ |
| Optimized for reasoning and inference workloads | ✓ |
✓ = the product lists this capability. Capabilities are normalized to a shared vocabulary so the same feature lines up across products.