SGLang

SGLang is a domain-specific language and runtime system designed specifically for efficient execution of large language model (LLM) inference workloads. It provides optimized abstractions for prompt composition, parallel execution, and memory management tailored to LLM serving scenarios. The system enables developers to write complex LLM applications with better performance and lower latency compared to general-purpose frameworks.

Companies need SGLang now because as LLM applications move from experimentation to production, inference efficiency directly impacts operational costs and user experience. With the trend toward real-time AI applications and multi-modal models requiring complex prompting patterns, specialized runtime systems like SGLang can reduce latency by 2-5x while improving throughput. This is critical for companies deploying AI at scale where infrastructure costs and response times determine competitive advantage.