Data as of Aug 16, 2026 · Based on 3,131,739 AI responses across 10,525 prompts · See how Parse measures this
SGLang is a high-performance serving framework for large language and multimodal models, designed for fast, scalable inference from single GPUs to distributed clusters. It supports a wide range of open models and hardware platforms, incorporating advanced optimizations like disaggregated prefill/decode and speculative decoding.
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