JuiceFS CSI in Multi-Thousand Node Kubernetes Clusters for LLM Pre-Training

The rapid advancement of artificial intelligence technologies, especially the development of large language models (LLMs), has led to a sharp increase in the amount of data that enterprises need to process. Managing large-scale data clusters in Kubernetes environments presents several challenges, including storage performance, complex access control management, and system stability. JuiceFS is a distributed POSIX file system designed for the cloud. It was open-sourced in 2021 (more than 13k GitHub stars). To deliver an optimal experience in Kubernetes, JuiceFS developed the JuiceFS CSI Driver. In addition, JuiceFS CSI introduced several new designs to support large-scale, complex AI training tasks such as the mount pod mode and the sidecar mode for serverless environments.

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