DeepSeek has released an open-source project, FlashMLA, which is a decoding kernel optimized for Hopper GPUs. This project supports BF16 precision and includes a paged key-value cache with a block size of 64. The performance metrics indicate it achieves 3000 GB/s bandwidth and 580 TFLOPS on H800 GPUs, showcasing its high efficiency. Users are intrigued by its inferencing framework, which reportedly has lower resource demands compared to other methods like vllm or llama.cpp. Discussions suggest a significant admiration for the technical depth required in such projects compared to more straightforward programming tasks. Concerns regarding the ethical implications of technology access, especially amid sanctions against certain companies for hardware like Hopper GPUs, have also been raised.