This is an efficient MLA decoding kernel designed specifically for Hopper architecture GPUs, aiming to improve the inference efficiency of large language models (LLMs). Developed in C++ and CUDA, it addresses the performance bottlenecks of traditional methods when handling variable-length sequences by leveraging NVIDIA's CUTLASS library and paginated caching techniques, significantly enhancing memory bandwidth and computational efficiency.