Building AI4S Systems for Scientific Research on Kubernetes
Talkat KubeCon + CloudNativeCon + OpenInfra Summit + PyTorch Conference China 2026 · 2026-09-07..09-09·
summary
Describes China Mobile Research Institute’s AI4S system that combines Kubernetes-based federated cross-region clusters (heterogeneous resource pool) with a zero-code software platform that supports the full scientific research lifecycle from model training to scientific agent development. Explains how the system enables traceable, reproducible domain-specific workflows and shares architecture, design decisions, and deployment lessons illustrated by using the platform to train an RNA structure prediction model in collaboration with a biology lab.
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