Anyscale Platform, Powered by Ray

Anyscale, creators of Ray, delivers an AI-native compute platform that accelerates development and enables scalable deployment of any AI workload. The platform provides a unified runtime that can distribute any Python code or AI library, including XGBoost, PyTorch, and vLLM, making it seamless to scale data processing, training or inference from a single machine to thousands of CPUs, GPUs, or both.

Anyscale gives AI teams a production-ready platform that accelerates time to value, reduces TCO, and de-risks operating an internal AI development and deployment platform that supports both traditional machine learning and modern AI workloads.

Key capabilities

• Developer velocity: Develop on a multi-node backed IDE and seamlessly transition from dev to prod with self-service clusters for batch and online processing, without any cluster management.

• Enterprise-grade security: Anyscale runs directly inside your Azure Kubernetes Service (AKS) environment, ensuring data and processing stays in your private cloud. It also integrates natively with Azure’s security frameworks, including Microsoft Entra ID, inheriting your existing IAM policies, data access controls, and governance standards.
  

• Production-grade reliability: Ensure AI workloads stay reliable with built-in head node resilience, intelligent autoscaling, safe rollouts, spot instance support, and workload-aware dashboards with persistent logs for real-time and historical visibility.

• Cost efficiency: Maximize GPU utilization and control spend with advanced scheduling, fractional GPU allocation, and usage attribution with quotas to prevent runaway costs as teams scale.