What is vLLM?
vLLM is the industry-standard inference engine for serving open-source LLMs at scale. It uses PagedAttention to dramatically improve GPU memory efficiency, enabling higher throughput and lower latency than naive PyTorch serving. Used in production by dozens of companies to serve Llama, Mistral, and other open models.
Quick start
1
pip install vllm 2
python -m vllm.entrypoints.openai.api_server --model meta-llama/Llama-3.3-70B 3
Your local server now has an OpenAI-compatible API
4
Point any OpenAI SDK to http://localhost:8000
Use cases
→Production LLM serving
→High-throughput inference
→OpenAI-compatible API endpoint
→Multi-GPU deployment
Compatible models
Llama 3.3MistralDeepSeekQwenAny HuggingFace model
Why this matters for India
// india context
If you have a GPU server (even a single A100 from AWS), vLLM turns it into a powerful private LLM API.