DeepSpeed-MII is an open-source library developed by the Microsoft DeepSpeed team for large-scale model inference. Its goal is to enable users to deploy and run large language models (LLMs) and other deep learning models with extremely low latency and cost.
DeepSpeed-MII is a powerful and easy-to-use large-scale model inference library that can help users deploy and run large models with extremely low latency and cost. It is suitable for various deep learning applications, especially scenarios that require high performance and low cost.