ray-project/ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
What it does
Ray is an open-source platform that lets teams run AI and machine learning workloads across many computers simultaneously, making it faster and more affordable to train AI models, serve them to users, and handle large datasets. Think of it as a traffic coordinator that distributes heavy AI work across an entire fleet of machines instead of overloading a single one.
Why it matters for PMs
As AI becomes central to product development, the ability to scale AI workloads efficiently is a major competitive advantage — Ray is used by companies like OpenAI and Spotify to power production AI systems, meaning it sits at the heart of how cutting-edge AI products are actually built and deployed. For founders and investors, the 41,000+ stars and broad adoption signal that Ray has become critical infrastructure in the AI stack, making its parent company Anyscale a key player in the rapidly growing AI infrastructure market.
Early stage — limited signal data
Score updated Feb 18, 2026
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