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.
Automate code & data workflows with interactive Elixir notebooks
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
Fast, efficient, and scalable distributed map/reduce system, DAG execution, in memory or on disk, written in pure Go, runs standalone or distributedly.
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.
A list of papers about distributed consensus.
Open-source software for volunteer computing and grid computing.
Bare bone examples of machine learning in TensorFlow
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.
Master Federated Learning in 2 Hours—Run It on Your PC!
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond