9,789
+340
// summary
The Fire-Flyer File System (3FS) is a high-performance distributed storage solution engineered specifically to support demanding AI training and inference workloads. It utilizes a disaggregated architecture with RDMA networks and modern SSDs to provide strong consistency and high throughput for distributed applications. By offering a standard file interface backed by transactional metadata services, it simplifies development without requiring users to learn new storage APIs.
// use cases
01
Efficient data preparation and management for large-scale analytics pipelines.
02
High-throughput parallel checkpointing for large-scale AI model training.
03
Cost-effective KVCache storage for LLM inference to replace DRAM-based caching.