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ActivePeter merged 1 commit into from
Jul 24, 2026
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doc: Enhance README with project overview and capabilities #49

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5 changes: 4 additions & 1 deletion README.md
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<div align="center">

One unified system for high performance RPC, KV Cache, Message Queue, and File & Object Acceleration.

[![Linux Only](https://img.shields.io/badge/Linux-Only-2ea44f)](#runtime-requirements)
[![Python](https://img.shields.io/badge/Python-%3E%3D3.10-3776AB)](#runtime-requirements)
[![Rust](https://img.shields.io/badge/Rust-1.93.0-000000)](./fluxon_rs/rust-toolchain.toml)
Expand All @@ -21,9 +23,10 @@ Add the project administrator on WeChat to join the open-source community group.

[English](./README.md) | [中文](./README_CN.md) | [Docs](https://tele-ai.github.io/Fluxon/) | [中文文档](https://tele-ai.github.io/Fluxon/cn/) | <a href="https://github.com/Tele-AI/Fluxon" title="GitHub Repository"><img src="https://github.githubassets.com/images/modules/logos_page/GitHub-Mark.png" width="18" height="18" alt="GitHub repository" /></a>


</div>

Fluxon is a high-performance distributed data acceleration plane for AI workloads, providing unified caching, communication, and storage acceleration for inference KV Cache, training & data processing. Built on the unified Rust-based transport and caching foundation, Fluxon exposes three standardized interfaces that target the core bottlenecks in AI systems:
Built on the unified Rust-based transport and caching foundation, Fluxon exposes three standardized interfaces that target the core bottlenecks in AI systems:

- **KV/RPC (Unified key-value and RPC)**: Breaks data silos and enables efficient cross-process, cross-node reuse of inference-side `KV Cache` and `latent cache`
- **MQ (Elastic message queue)**: Decouples system dependencies and supports elastic message transport across heterogeneous resource pools
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