Dear UCSF Research Community, 

Academic Research Services (ARS) is pleased to introduce CoreHPC—UCSF’s next-generation high-performance computing (HPC) environment designed to support the evolving needs of our data-driven research community.

What is CoreHPC? 
CoreHPC supports large-scale data processing, AI-driven research, and compute-intensive scientific workloads. Featuring a mix of CPU and GPU resources, CoreHPC enables fast, efficient analysis of massive datasets with support for both batch and interactive jobs. Built on clustered, high-speed infrastructure, it is fully managed by UCSF’s HPC team—so you can focus on your research, not the hardware.

How does it support my research? 
CoreHPC offers three flexible compute models to meet a wide range of needs:

• Node Compute for large-scale CPU workloads
• Pod Compute for GPU-intensive tasks like AI training
• Condo Compute for dedicated, priority access

All CoreHPC services support P1 through P4 data and integrate seamlessly with FAC Capacity Storage for secure, persistent storage.

How does pricing work? 
CoreHPC is subsidized to support UCSF’s research mission. We offer additional consulting to help optimize workflows and adapt research pipelines for HPC. Please contact us for support with ordering hardware or assistance with grant estimates.

When is it available? 
CoreHPC is currently in limited testing with a select group of researchers. We will be expanding early access to additional users soon, ahead of general availability this fall. If you are interested in joining the early access program, please contact us. 

Where can I find out more information? 
For details, pricing, and access instructions, please visit the CoreHPC website or contact us at [email protected]. 

In partnership, 
Mandy Terrill 
Chief Information Officer for Research