VL
vLLM
A high-throughput inference server for local or private GPU deployments when one user or many users need fast model serving.
Local Runtimes#vLLM#GPU serving#inference server#OpenAI compatible
vLLM
vLLM is best for serious GPU serving rather than casual desktop chat. Use it when the goal is a private API endpoint, high throughput, batching, and compatibility with application backends.
Best Fit
- Linux GPU servers.
- Team-shared local or private inference.
- Larger models with enough VRAM.
- OpenAI-compatible API serving for internal apps.
Good Model Targets
- Qwen3.5 9B, 27B, or 35B.
- Mistral Small 3.1 24B.
- DeepSeek-R1 distilled 14B, 32B, or 70B.
- Llama 70B class models on multi-GPU systems.
Hardware Notes
vLLM is not the simplest first install. Start with Ollama or LM Studio on a personal machine, then move to vLLM when you need server throughput.