Architecting Compute Platforms for Cross-Institutional Scientific Collaboration

As scientific discovery shifts from experiment-driven to model-driven, how should the underlying compute infrastructure be designed to support cross-institutional collaboration? SenseTime's Large Model Infrastructure has launched a scientific discovery platform in partnership with five top research institutions. This strategic cooperation essentially solves a typical distributed systems problem: how multiple heterogeneous nodes (research teams, data, and models from different institutions) can efficiently complete scientific computing tasks under unified scheduling.