Tags: #distributed-computing

Ray is a unified framework for scaling AI and Python applications from a laptop to a cluster, simplifying complex ML workloads with a distributed runtime and specialized libraries.

A Kubernetes-native platform for scalable distributed AI model training and LLM fine-tuning across various frameworks.

A high-performance data engine for AI and multimodal workloads, processing diverse data types at scale with Python and Rust.

An open-source distributed job scheduling and computing framework designed to simplify task orchestration and execution in enterprise applications.