Anyscale

The Anyscale Unified Compute Platform is positioned as a solution designed to build, deploy, and manage scalable AI and Python applications. According to the vendor, this platform is targeted at small to large enterprises and caters to various professionals and industries, including data scientists, machine learning engineers, AI researchers, software developers, and technology companies. The Anyscale Unified Compute Platform offers a range of features and capabilities that aim to accelerate development, ensure production-grade management, prioritize security and compliance, facilitate seamless transitions between development and production environments, enable monitoring and observability, and provide robust APIs and SDKs for automation and integration.

Key Features

Accelerate Development & Scaling: Anyscale Workspaces is touted as an integrated IDE experience that allows teams to edit and run code, install dependencies, and monitor jobs and resources across a scalable cluster. The vendor claims that it offers seamless integration and instant setup for popular tools like VSCode and Jupyter notebook, enabling users to work with their preferred tools effortlessly.

Production-Grade, Fully Managed Service: According to the vendor, Anyscale operates clusters of machines on demand, eliminating the need for AI teams to manage the cluster themselves. It is said to provide ML practitioners with an interactive, scalable compute environment and allows users to bring their own cloud infrastructure for enhanced data security.

Security and Compliance: The vendor states that Anyscale ensures secure secrets management and offers auditing and logging features for transparency. It is claimed to prioritize governance and compliance, providing user access controls and cost tracking mechanisms. Anyscale also holds SOC 2 Type 1 attestation.

Seamlessly Move Between Development and Production: Anyscale provides a unified environment for both development and production, allowing users to run, debug, and test their code at scale with consistent cluster configuration and software dependencies. The vendor asserts that it offers flexible dependency management options and easy integration with existing deployment tools.

Monitoring and Observability: Anyscale provides a production-grade monitoring and observability stack, including a managed Grafana and Ray dashboard, to monitor the health of jobs and resources. Users can leverage Anyscale's managed logs, monitoring, and observability features or integrate with their existing observability stack.

Robust APIs and SDKs: According to the vendor, Anyscale offers simple, intuitive APIs and SDKs to automate jobs and cluster management or integrate into CI/CD pipelines. It is claimed to enhance observability through centrally monitoring the health of jobs and resources and provides cost tracking capabilities.

Faster Development: Anyscale's fully integrated development environment, ML Workspace, Ray client, Ray libraries, and integrations with popular ML tools and frameworks are said to speed up developer productivity. The vendor states that it enables easy and elastic scaling of workloads, leveraging operational monitoring and cost management capabilities.