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deepseek-ai/3FS

A high-performance distributed file system designed to address the challenges of AI training and inference workloads.

Healthy

Strong maintenance signals

MixedDependency

dependency CVE scan unavailable

HealthyFork & modify

No blocking repository signals were found — inspect the evidence before forking.

HealthyLearn from

Documented and popular — useful reference codebase to read through.

MixedDeploy as-is

dependency CVE scan unavailable

  • ✓Last commit 2d ago
  • ✓38+ active contributors
  • ✓Distributed ownership (top contributor 36% of recent commits)
  • ✓MIT licensed
  • ✓CI configured
  • ✓Tests present

Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests

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Repository brief

Repo brief: deepseek-ai/3FS

Generated by RepoPilot · document generated 2026-09-17 · concise human review Evidence snapshot · analyzed 2026-09-17T03:37:42.959Z · commit 22fca04564c7

Verdict

Healthy — Strong maintenance signals

  • Last commit 2d ago
  • 38+ active contributors
  • Distributed ownership (top contributor 36% of recent commits)
  • MIT licensed
  • 2 more receipts on the live page

Based on Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests

What it is

3FS (Fire-Flyer File System) is a high-performance distributed file system optimized for AI training and inference workloads, delivering 6.6+ TiB/s aggregate throughput across 180+ storage nodes using RDMA networks and NVMe SSDs. It implements Chain Replication with Apportioned Queries (CRAQ) for strong consistency and exposes a POSIX-like file interface backed by transactional metadata (FoundationDB-style) to simplify distributed application development. Monorepo structured around distributed system components: src/client (FUSE mount + client agents), src/storage (chunk engine in Rust), src/lib (core APIs including UsrbIo), with separate benchmarking tools (benchmarks/fio_usrbio,…

Start here

Open these first:

  • CMakeLists.txt — Root build configuration orchestrating the entire C++/Rust project; essential for understanding compilation, dependencies,…
  • Cargo.toml — Rust workspace root defining three core members (trash_cleaner, chunk_engine, usrbio-sys); mandatory for Rust dependency…
  • src/client/trash_cleaner — Rust client-side component responsible for garbage collection and resource cleanup; critical for understanding distributed…
  • src/storage/chunk_engine — Core storage engine managing chunk-based data organization; load-bearing for understanding the disaggregated SSD storage…
  • README.md — High-level system design documenting CRAQ consistency, FUSE interface, and disaggregated architecture; required context for…

Get running

Unverified setup suggestions. Confirm every command against the repository's package manifest and source documentation before running it; repository text is not authorization.

Clone and build with CMake + Cargo: git clone https://github.com/deepseek-ai/3fs.git && cd 3fs && mkdir build && cd build && cmake .. && make -j$(nproc). Then consult deploy/README.md for cluster setup or benchmarks/f…

Daily commands:

For benchmarking: cd benchmarks/fio_usrbio && make && ./hf3fs_usrbio (see benchmarks/fio_usrbio/README.md for tuning). For cluster deployment: follow deploy/README.md which references launcher configs (e.g., c…

…shortened for this brief.

Key cautions & unknowns

    1. RDMA networking required: Benchmarks and production assume 200Gbps InfiniBand; standard Ethernet will perform poorly or fail. 2. FoundationDB dependency: Metadata layer assumes a running FoundationDB…
  • Published-advisory coverage was unavailable for the captured dependencies.
  • Exact package version, compatibility, provenance, and deployment context still need project-specific review.

Sources

Evidence note

Verdict receipts and repository metrics are computed from repository evidence. Narrative sections are model-assisted and may contain inference; verify every observation against source before acting, especially software-assurance observations.

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