Anyscale Platform is a powerful cloud-native environment built on the open-source Ray framework. It is designed to simplify the process of building, deploying, and scaling distributed Python and AI applications—from a laptop to the cloud—with minimal code changes. Anyscale abstracts away infrastructure complexity so that teams can focus on innovation instead of managing compute resources.

Features of Anyscale Platform:

• Seamlessly scales Python applications from a local machine to massive clusters in the cloud.
• Supports distributed workloads like training, serving, and hyperparameter tuning out-of-the-box.
• Integrated with the Ray ecosystem (Ray Serve, Ray Train, Ray Tune, Ray Data) for scalable AI/ML workflows.
• Enables easy deployment using CLI and YAML configurations with customizable runtime environments.
• Offers a collaborative web console with job tracking, real-time logs, and versioned services.
• Provides secure API key-based access control for team-based development and automation.

To get started with the Anyscale CLI on Ubuntu 24.04, follow these steps:

$ anyscale --version

Disclaimer: The Anyscale Platform is a managed service built around Ray, suitable for teams working on distributed computing, machine learning, and production-grade AI systems. While Ray is open-source, Anyscale provides enterprise features, performance monitoring, and cloud orchestration that require authentication and billing.