Sglang

Heavy multi-turn chat shares system prompts across requests, pick the serving framework that exploits that best.

What is RadixAttention in SGLang and how does it differ from vLLM's prefix sharing?

Which workload most benefits from RadixAttention specifically vs simpler per-request prefix caching?

When would you choose vLLM, TensorRT-LLM, SGLang, or TGI for a production serving deployment?

Match each production serving framework to its defining strength