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Run Ollama on a dedicated cloud GPU instead of your local machine. Faster inference, larger models, and a shared endpoint for your team.

1. Deploy and install

2. Start the server

3. Pull models

4. Test the API

5. Use the OpenAI-compatible endpoint

6. Larger models on A100

For 70B+ models, use an A100 80 GB:

Monitoring

Tips

  • Ollama quantizes models by default (Q4). For higher quality, use :fp16 tags if VRAM allows.
  • The first request after pulling a model is slower — Ollama loads into GPU memory on demand.
  • For production workloads with high concurrency, use vLLM instead.

Cleanup