# Large GPU E2E Test (48GB+ VRAM — A100, A6000, H100)

**Issue**: #362

## Setup

1. Install Ollama: https://ollama.com
2. Pull a large model:
   ```
   ollama pull llama3.3:70b
   ```

## Test

```bash
pip install llmhosts
llmhosts --version
llmhosts doctor
llmhosts serve --port 4000 --no-tui
```

In another terminal:

```bash
curl http://localhost:4000/health
curl http://localhost:4000/v1/models
curl -X POST http://localhost:4000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{"model":"auto","messages":[{"role":"user","content":"Hello"}]}'
```

## Checklist

- [ ] `pip install llmhosts` works
- [ ] `llmhosts doctor` detects GPU + VRAM (48GB+)
- [ ] `llmhosts serve` starts and discovers Ollama + 70B model
- [ ] `/v1/chat/completions` returns a valid response
- [ ] Response quality is coherent (not garbled)
- [ ] First-token latency acceptable (<30s for 70B)
- [ ] No OOM errors (`nvidia-smi` shows expected VRAM usage)
- [ ] Multiple sequential requests don't leak memory

## Results

Paste `llmhosts doctor` output, `nvidia-smi` output, and any errors into issue #362.
