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

# GCP

> Genuine single-GPU A100/H100 VMs on Google Cloud — the way to rent one big NVIDIA card instead of a whole AWS node.

GCP offers genuine single-GPU A100 and H100 VMs — the main reason to pick it over AWS, where those cards only come as whole 8-GPU nodes.

## Serving shapes

| `gpu_type`  | Memory | GPUs per node |
| ----------- | ------ | ------------- |
| `A100-80GB` | 80 GB  | 1             |
| `H100-80GB` | 80 GB  | 1             |

## Creating a deployment

```python theme={null}
client.deployments.create(
    model="Qwen/Qwen2.5-7B-Instruct",
    source="huggingface",
    name="my-deploy",
    gpu={"gpu_type": "H100-80GB", "gpu_count": 1},
    provider="gcp",
)
```

Serving runs on on-demand VMs (not the Spot capacity used for GCP training).

## Where to go next

<CardGroup cols={2}>
  <Card title="All serving providers" icon="server" href="/deployments/providers">
    Compare shapes, status, and the live CLI catalog.
  </Card>

  <Card title="GPU sizing" icon="ruler" href="/deployments/hosting">
    Match GPU memory to model size.
  </Card>
</CardGroup>