vLLM
- is a high-performance Python framework for running very large language models efficiently on GPUs
- optimizes GPU memory, supports async multi-prompt generation, and works with quantized models
- provides real-time metrics like throughput, latency, and prompt evaluation rate
- ideal for fast, concurrent, production-ready LLM inference, unlike CPU-focused tools like llama.cpp or user-friendly platforms like Ollama.