Instead of manually creating and maintaining ray clusters, any scale provides a fully managed environment. It handles cluster creation, scaling, monitoring and lifecycle management for hs

What I like best about Anyscale is how it simplifies deploying and managing distributed AI and machine learning workloads. The managed infrastructure, automatic scaling, and seamless integration with Ray allow teams to focus on building applications instead of managing complex infrastructure. It delivers excellent performance, reliability, and scalability for production AI workloads.

I like Anyscale for its ability to remove the operational complexity of running distributed AI workloads, while offering flexibility to scale when needed. The managed Ray platform is a highlight for me because it simplifies training models, processing large datasets, and serving LLMs, without spending time on infrastructure management. I appreciate the overall polished and reliable developer experience, which allows me to concentrate on building AI applications instead of maintaining clusters. Also worth noting is how easy the initial setup was, which has provided a huge productivity boost.