Accelerating Princeton's Computational Science with Ray

Explore a lightning talk from Ray Summit 2024 that demonstrates Princeton University's innovative approach to modernizing campus computational science using Ray technology. Learn how the university bridges traditional High Performance Computing with emerging Machine Learning needs through a comprehensive pilot program spanning three distinct computing environments. Discover how Ray's unified framework streamlines research computing across a shared campus research cluster, federated multi-institutional infrastructure, and hybrid campus-cloud setup with Google Cloud Platform. Follow Jack Brassil's presentation on how this implementation simplifies the computational landscape, reduces researcher learning curves, and optimizes IT resource utilization while meeting diverse workload demands and expanding user requirements in academic research computing.