Utiliser ARIA pour la recherche autonome

## 1. Decide where jobs will actually run

Pick one:

### Option A — Kubernetes / cluster setup
Use this if you want shared GPU/CPU infrastructure and a
persistent Launch agent.

Recommended for “real” team usage.

### Option B — Local Docker setup
Use this if you want jobs to run on your own machine,
e.g. local workstation with Docker and possibly a GPU.

Good for testing Launch quickly.

I’d usually start with **Kubernetes** if
you have cluster access. If not, start with **Local Docker**.

## 2. Create a Launch queue in the W&B UI

Go to the Launch page for the entity: https://wandb.ai/wandb/launch

Then:

1. Click **Create Queue**.
2. Select entity: `wandb`.
3. Give the queue a name.
4. Choose the queue resource type:
   - **Kubernetes** for cluster execution.
   - **Docker** for local execution.
5. Add the queue resource configuration.
6. Click **Create Queue**.

## 3. Kubernetes path: install a Launch agent with Helm

If using Kubernetes, you need:

- A Kubernetes cluster.
- `kubectl` access to the cluster.
- `helm` installed locally.
- A W&B **service account API key**.
- Permission to create/update/delete Kubernetes resources in the target namespace.

Do **not** use your personal API key for the agent if this is a real
setup. Use a W&B service account key.