> ## Documentation Index
> Fetch the complete documentation index at: https://docs.compute.cx/llms.txt
> Use this file to discover all available pages before exploring further.

# GPU list

> Locked public SKUs and list rates. H100-SXM is the lead.

```bash theme={null}
compute gpu list
compute gpu list --json
```

That output is the source of truth for names and **list ¢/hr**. Marketing pages can lag.

## v0.1 SKUs

| Name       | Also accepted       | Provider      | Role                    |
| ---------- | ------------------- | ------------- | ----------------------- |
| `H100-SXM` | `H100`, `H100-80GB` | RunPod Secure | Public lead             |
| `MI300X`   | —                   | Hot Aisle     | AMD; stock can be tight |

Do not assume A100, consumer cards, community pools, or interruptible SKUs from this manual. If `gpu list` does not show it, do not pass it.

## Decorator vs CLI

```python theme={null}
@app.function(gpu="H100-80GB", image=compute.Image.cuda_pytorch(), timeout=600)
```

```bash theme={null}
compute run train.py::main --gpu H100-SXM
```

The CLI `--gpu` flag wins when both are set.

## Images

* NVIDIA: `compute.Image.cuda_pytorch()`
* AMD: `compute.Image.rocm_pytorch()`

Use the image that matches the SKU. Mixing CUDA images onto MI300X (or the reverse) is a failed run, not a silent fallback.

Rates: [Pricing](https://compute.cx/pricing). Caps: [Limits](/limits).