FlashInfer is a high-performance GPU kernel library specifically tailored for large language model (LLM) services. It significantly improves LLM performance during inference and deployment by providing efficient sparse/dense attention mechanisms, load-balancing scheduling, and memory efficiency optimizations. FlashInfer supports PyTorch, TVM, and C++ APIs, making it easy to integrate into existing projects. Its main advantages include efficient kernel implementations, flexible customization options, and broad compatibility. FlashInfer was developed to meet the increasing demand for LLM applications and to provide more efficient and reliable inference support.