Constructing the 10x Efficiency of Cloud-Native AI Infrastructure

Explore the challenges and solutions for constructing highly efficient cloud-native AI infrastructure in this 35-minute conference talk by Peter Pan and 秋萍 戴 from DaoCloud. Learn how to maximize GPU utilization, unify multi-architecture accelerators, manage organizational quotas and costs, implement resource isolation, and optimize scheduling in AI clouds built on bare-metal infrastructure. Discover strategies for sharing GPU clusters between virtual machines and containers, leveraging high-speed networks, and orchestrating datasets effectively. Gain insights from the speakers' experiences in building AI clouds for IDC and internal use, drawing on open-source stacks from the Linux Foundation and CNCF. Understand how to overcome common obstacles and achieve a tenfold increase in efficiency for cloud-native AI infrastructure.