Compare AI products
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Google
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|---|---|
| Score | 8.6/10 |
| Type | hardware |
| Category | Data Center AI Accelerators |
| Summary | Google's widely available 6th-gen TPU for efficient training and inference. |
| Starting price | ~$2.70 per chip-hour |
| Visit → |
Feature matrix
8 features| Feature | Google TPU v6e (Trillium) |
|---|---|
| 32 GB HBM per chip, ~1,600 GB/s bandwidth | ✓ |
| 256-chip pod footprint with ICI fabric | ✓ |
| 4x training and up to 3x inference vs prior gen | ✓ |
| Optimized for transformer training and serving | ✓ |
| Native JAX, PyTorch/XLA, TensorFlow support | ✓ |
| Generally available across Google Cloud regions | ✓ |
| Multislice training across pods | ✓ |
| Strong perf/watt efficiency | ✓ |
✓ = the product lists this capability. Capabilities are normalized to a shared vocabulary so the same feature lines up across products.