distributed-computing

Making large AI models cheaper, faster and more accessible

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

Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.

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

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

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

Accelerated deep learning R&D

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

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

zenoh unifies data in motion, data in-use, data at rest and computations. It carefully blends traditional pub/sub with geo-distributed storages, queries and computations, while retaining a level of time and space efficiency that is well beyond any of the mainstream stacks.

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

Microsoft Graph Engine

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

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

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

Ultrafast serverless GPU inference, sandboxes, and background jobs

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

A crowdsourced distributed cluster for AI art and text generation

GPU worker client for the Talos network. Pairs with your Talos account, serves open-model inference jobs over a WebSocket, and reports uptime for payouts.

Self-hosted AI agent OS. Your memory, chat, agents, and files stay on hardware you own, offline by default, cloud by choice. Offline AI memory (taOSmd), self-hosted multi-framework group chat, a full web desktop + app store, and auto-clustering across the consumer hardware you already have (Orange/Raspberry Pi, Mac mini, gaming PC).