Google Public Sector supports AI-optimized HPC infrastructure for researchers at Caltech

For decades, institutions like Caltech, have been at the forefront of large-scale artificial intelligence (AI) research. As high-performance computing (HPC) clusters continue to evolve, researchers across disciplines have been increasingly equipped to process massive datasets, run complex simulations, and train generative models with billions of parameters. With this powerful combination, researchers have accelerated scientific discovery across diverse use cases including genomic analysis, drug discovery, weather forecasting, and beyond.

Modern research workloads, driven by AI and HPC, demand processing of structured and unstructured data at an unprecedented scale, while maintaining sub-millisecond storage latency, enterprise-level security and compliance, and reproducibility despite varying hardware and software configurations. This presents significant technical challenges for both researchers and supporting departments.

To accelerate scientific discovery in the AI era, Google Public Sector has announced it will support AI-optimized HPC infrastructure for researchers at Caltech. This new initiative furthers Caltech’s mission to expand human knowledge and ...