ray-project/kuberay

Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

DLRover: An Automatic Distributed Deep Learning System

A Cloud Native Batch System (Project under CNCF)

Production-Grade Container Scheduling and Management

KubeBlocks is a Kubernetes Operator designed to manage a variety of databases and streaming systems, including MySQL, PostgreSQL, MongoDB, Redis, RabbitMQ, RocketMQ, and more, within Kubernetes environments.

Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Machine Learning Pipelines for Kubeflow