Concurrent LLM Serving: Benchmarking vLLM vs SGLang vs Ollama

A benchmark comparison of vLLM, SGLang, and Ollama serving Qwen3.5-0.8B on a single GPU with 16 concurrent requests shows SGLang is 4.6× faster than vLLM and vastly outperforms Ollama, thanks to RadixAttention and chunked prefill. The author provides a reproducible repo with scripts, logs, and video demos, and recommends SGLang for throughput-critical production use, vLLM for broad model support and stability, and Ollama for local single-user prototyping.