Building a GPU Cloud with Ray at io.net - Decentralized Computing Network

Explore how io.net leverages Ray to transform idle GPUs worldwide into a powerful decentralized computing network in this technical conference talk from Ray Summit 2024. Discover the innovative "Airbnb for GPUs" model that connects data centers, GPU farms, and individual devices into a unified ecosystem of over 300,000 verified GPUs for scalable AI workloads. Learn how presenter Aline Almeida addresses complex technical challenges in managing a heterogeneous, globally distributed GPU network, including customized Ray implementations for optimizing resource allocation, node selection, and communication protocols. Gain insights into advanced solutions like graph theory applications for node selection and sophisticated scheduling algorithms that enable distributed task execution across this groundbreaking decentralized AI computation platform.