Best Practice of Machine Learning Platform Storage Based on CubeFS

Explore the innovative storage solutions implemented by OPPO for their machine learning platform using CubeFS. Discover how this cloud-native distributed file system addresses challenges in storage scalability, cost, and high performance for AI training tasks. Learn about the implementation of a 150PB data capacity system capable of handling tens of billions of small files, supporting hybrid cloud unified storage for 200 teams and over 10,000 daily training tasks. Gain insights into CubeFS's metadata management techniques, storage management strategies, and cache acceleration capabilities in a hybrid cloud architecture. Understand how the system flexibly manages hot and cold data throughout the data lifecycle, optimizing performance and cost-efficiency for OPPO's growing AI business needs.

The Best Practice of Machine Learning Platform Storage Based on CubeFS - Leon Chang, OPPO