DeepSeek Develops Linux File-System For Better AI Training & Inference Performance
Chinese AI company DeepSeek made public this week 3FS, a Linux FUSE-based file-system intended for allowing better AI training and inference performance.
The DeepSeek 3FS Fire-Flyer File-System is a distributed file-system designed to leverage modern solid-state drives and RDMA networks for a better AI training and inference experience. 3FS relies on FUSE for user-space based file-system support and aims to make it easier to deploy large-scale AI training/inference clusters with shared storage.
DeepSeek's Fire-Flyer File System has a disaggregated architecture, strong consistency, and other optimizations in the name of AI performance and usability.
Besides leveraging FUSE, this Linux file-system also relies on the Rust programming language, Apple's FoundationDB distributed database, and other modern dependencies.
Those curious about DeepSeek's 3FS open-source file-system can find the code and documentation via GitHub. The 3FS code is available under an MIT license.
The DeepSeek 3FS Fire-Flyer File-System is a distributed file-system designed to leverage modern solid-state drives and RDMA networks for a better AI training and inference experience. 3FS relies on FUSE for user-space based file-system support and aims to make it easier to deploy large-scale AI training/inference clusters with shared storage.
DeepSeek's Fire-Flyer File System has a disaggregated architecture, strong consistency, and other optimizations in the name of AI performance and usability.
Besides leveraging FUSE, this Linux file-system also relies on the Rust programming language, Apple's FoundationDB distributed database, and other modern dependencies.
Those curious about DeepSeek's 3FS open-source file-system can find the code and documentation via GitHub. The 3FS code is available under an MIT license.