Making large AI models cheaper, faster and more accessible
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
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Fast, efficient, and scalable distributed map/reduce system, DAG execution, in memory or on disk, written in pure Go, runs standalone or distributedly.
Drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads.
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 toolkit to run Ray applications on Kubernetes
Open-source software for volunteer computing and grid computing.
a Productive Parallel Programming Language
Ultrafast serverless GPU inference, sandboxes, and background jobs
A distributed task scheduler for Dask
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
:books: 深入浅出分布式基础架构,Linux 与操作系统篇 | 分布式系统篇 | 分布式计算篇 | 数据库篇 | 网络篇 | 虚拟化与编排篇 | 大数据与云计算篇
The current, performant & industrial strength version of Holochain on Rust.
SmartSql = MyBatis in C# + .NET Core+ Cache(Memory | Redis) + R/W Splitting + PropertyChangedTrack +Dynamic Repository + InvokeSync + Diagnostics
:rocket: R package: future: Unified Parallel and Distributed Processing in R for Everyone
Distributed Stockfish analysis for lichess.org
Unleash the power of cloud
Backend.AI is a streamlined, container-based computing cluster platform that hosts popular computing/ML frameworks and diverse programming languages, with pluggable heterogeneous accelerator support including CUDA GPU, ROCm GPU, Gaudi NPU, Google TPU, GraphCore IPU and other NPUs.
A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
A source-grounded course and architectural reference for engineers designing systems that must survive real traffic, partial failure, security review, and changing requirements, spanning enterprise system design, distributed systems, AI systems, cybersecurity, reliability, cloud, HPC, edge, and mission-critical infrastructure.
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).
User-friendly Scheduler for sub-node tasks for HPC systems
Kubernetes Operator for MPI-based applications (distributed training, HPC, etc.)