
Production-Ready AI with Ray
Anyscale provides a managed platform for running AI and ML workloads at scale using the Ray framework, which they created. The company targets enterprises seeking to streamline distributed computing for AI applications with production-grade infrastructure and hands-on support from Ray's original developers.

Anyscale is a technology company founded by the creators of Ray, an open-source framework designed to help developers scale data processing, training, and inference workloads from laptops to thousands of nodes. The company provides a comprehensive platform that enables organizations to build, deploy, and run AI and machine learning workloads at scale across any cloud environment or on-premises infrastructure. Their technology supports the entire AI pipeline, from data preparation to model training and inference. Trusted by leading technology companies including OpenAI, Uber, and Airbnb, Anyscale has established itself as a key infrastructure provider in the AI development ecosystem. The platform offers Python-native distributed computing capabilities, supporting multimodal data processing across images, video, text, audio, and tabular datasets. With recent expansion including a first-party service on Microsoft Azure, Anyscale continues to grow its enterprise presence while maintaining its focus on developer productivity and operational efficiency. Anyscale differentiates itself by combining deep expertise in distributed computing with production-ready infrastructure that handles the complexities of scaling AI workloads. Their team works directly with customers to optimize and scale Ray-based platforms, positioning the company as both a technology provider and a hands-on implementation partner.