KubeRay

Scalable Machine Learning Orchestration for Kubernetes

Scalable Machine Learning Orchestration for Kubernetes KubeRay is a powerful Kubernetes operator designed to manage Ray clusters and services, primarily focusing on deploying and scaling machine learning workloads. This package includes a complete Ray environment with vLLM integration for efficient large language model serving. KubeRay simplifies deployment and management of ML workloads while providing automatic scaling capabilities and seamless integration with Kubernetes infrastructure. Features include OpenAI-compatible API endpoints, flexible model deployment options, and support for both CPU and GPU configurations with automatic worker scaling based on demand. Includes the KubeRay operator, Ray cluster management components, and vLLM integration for LLM serving with support for various model architectures and configurations.

Why Deploy on UDS:

Deploying KubeRay on UDS provides a robust security posture with continuous monitoring and updates. This application is pre-integrated into our DoD compliant DevSecOps platform and which provides comprehensive documentation to accelerate Authority to Operate (ATO) preparation, streamlining delivery to any mission environment.

Our DoD mission experts are available to discuss your specific mission needs and explore how this UDS-optimized solution could support your teams operations. Get started now.