Sglang
원문: sglang
Fast structured generation and serving for LLMs with RadixAttention prefix caching. Use for JSON/regex outputs, constrained decoding, agentic workflows with tool calls, or when you need 5× faster inference than vLLM with prefix sharing. Powers 300,000+ GPUs at xAI, AMD, NVIDIA, a
무엇을 하나요
SGLang High performance serving framework for LLMs and VLMs with RadixAttention for automatic prefix caching. When to use SGLang Use SGLang when: Need structured outputs (JSON, regex, grammar) Building agents with repeated prefixes (system prompts, tools) Agentic workflows with function calling Multi turn conversations with shared context Need faster JSON decoding (3× vs standard) Use vLLM instead when: Simple text generation without structure Don't need prefix caching Want mature, widely tested production system Use TensorRT LLM instead when: Maximum single request latency (no batching needed) NVIDIA only deployment Need FP8/INT4 quantization on H100 Quick start Installation Launch server B…
실행 시 본인 API 키(BYOK)로 동작하며, 모델 비용은 사용자 계정에서 직접 결제됩니다.