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sglang

89

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, and LinkedIn.

Enables fast structured generation and serving for LLMs, optimizing inference with RadixAttention for efficient workflows.

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or
sglang4 files

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Install this skill with one command

/learn @davila7/inference-serving-sglang