从 65,730 个高星开源项目里，
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ColossalAI 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理，主打速度快。

Making large AI models cheaper, faster and more accessible

Qix 是一个学习资料，用于系统学习与查阅，主打可伸缩。

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

hazelcast 是用 Java 编写的开源项目，主题标签有限，建议打开仓库查看具体用途，主打速度快、实时。

Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-mo…

livebook 是用 Elixir 编写的可视化工具，用于图表与数据展示。

Automate code & data workflows with interactive Elixir notebooks

Daft 是用 Rust 编写的 AI 工具，用于人工智能方向的建模与推理，主打高性能。

High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale

protoactor-go 是用 Go 编写的开源项目，主题标签有限，建议打开仓库查看具体用途，主打高性能、速度快、可伸缩。

Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin

rl 是用 Python 编写的学习资料，用于系统学习与查阅。

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

gleam 是用 Go 编写的开源项目，主题标签有限，建议打开仓库查看具体用途，主打速度快、可伸缩、实现清晰。

Fast, efficient, and scalable distributed map/reduce system, DAG execution, in memory or on disk, written in pure Go, runs standalone or distributed…

sail 是用 Rust 编写的 AI 工具，用于人工智能方向的建模与推理，主打实现清晰。

Drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads.

catalyst 是用 Python 编写的学习资料，用于系统学习与查阅。

Accelerated deep learning R&D

zenoh 是用 Rust 编写的开源项目，主题标签有限，建议打开仓库查看具体用途，主打可伸缩。

zenoh unifies data in motion, data in-use, data at rest and computations. It carefully blends traditional pub/sub with geo-distributed storages, que…

alpa 是用 Python 编写的学习资料，用于系统学习与查阅。

Training and serving large-scale neural networks with auto parallelization.

distributed-llama 是用 C++ 编写的 AI 工具，用于大模型与智能体应用开发，主打速度快、功能完整、可伸缩。

Distributed LLM inference. Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.

distributed-consensus-reading-list 是一个学习资料，用于系统学习与查阅，主打可伸缩。

A list of papers about distributed consensus.

boinc 是用 C++ 编写的移动端方案，用于移动应用开发，主打开源免费。

Open-source software for volunteer computing and grid computing.

NakedTensor 是用 Python 编写的学习资料，用于系统学习与查阅。

Bare bone examples of machine learning in TensorFlow

GraphEngine 是用 C# 编写的开源项目，主题标签有限，建议打开仓库查看具体用途。

Microsoft Graph Engine

PFLlib 是用 Python 编写的学习资料，用于系统学习与查阅。

Master Federated Learning in 2 Hours—Run It on Your PC!

fugue 是用 Python 编写的学习资料，用于系统学习与查阅，主打可伸缩。

A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.

Awesome-Federated-Machine-Learning 是一个学习资料，用于系统学习与查阅。

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

chapel 是用 Chapel 编写的工程工具，用于代码分析、构建与打包。

a Productive Parallel Programming Language

moosefs 是用 C 编写的开源项目，主题标签有限，建议打开仓库查看具体用途，主打可伸缩、开源免费。

MooseFS Distributed Storage – Open Source, Petabyte, Fault-Tolerant, Highly Performing, Scalable Network Distributed File System / Software-Defined …

protoactor-dotnet 是用 C# 编写的开源项目，主题标签有限，建议打开仓库查看具体用途，主打高性能、速度快、可伸缩。

Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin

beta9 是用 Go 编写的 AI 工具，用于大模型与智能体应用开发。

Ultrafast serverless GPU inference, sandboxes, and background jobs