【電子書籍なら、スマホ・パソコンの無料アプリで今すぐ読める！】＜p＞"MosaicML Inference Architecture and Deployment"＜/p＞ ＜p＞"MosaicML Inference Architecture and Deployment" presents a comprehensive exploration of state-of-the-art solutions for scalable, secure, and efficient machine learning inference. The book opens with a deep dive into the foundations of inference, charting MosaicML’s evolution, its core guiding philosophies, and the nuanced distinctions between training and serving paradigms. Through a thoughtful examination of architectural principles and serving taxonomies, readers will gain insight into modern model-serving challenges, stakeholder needs, and robust requirements engineering for diverse machine learning workloads.＜/p＞ ＜p＞Spanning detailed technical depths, the book systematically unpacks the core components underpinning a modern inference system, from the intricacies of server threading and resource management to advanced model management,...