Curvine Architecture Deep Dive: System Design, Containers, and Data Flow
· 7 min read
Curvine is an AI-Native and Cloud-Native distributed cache file system, written entirely in Rust. Born at OPPO and now a CNCF Landscape project, it layers full POSIX semantics over cloud object storage — delivering local-disk speed for AI training, inference, and big data workloads while keeping S3, OSS, GCS, Azure Blob, and HDFS as the durable backbone.
This post walks through Curvine's architecture at three levels: the overall system context, the container-level service breakdown, and the end-to-end data flow for read and write operations.