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SGLang is a high-performance serving framework for large language models and multimodal models.
FlashInfer: Kernel Library for LLM Serving
[ICLR2025, ICML2025, NeurIPS2025 Spotlight] Quantized Attention achieves speedup of 2-5x compared to FlashAttention, without losing end-to-end metrics across language, image, and video models.
Implementation of plug in and play Attention from "LongNet: Scaling Transformers to 1,000,000,000 Tokens"