Research Computing
Carnegie Mellon University’s Research Computing service offers comprehensive solutions for the CMU community's diverse research storage needs. Whether collaborating on active projects or preserving large datasets for archival purposes, our services are designed to ensure efficiency, scalability, and security.
Google Cloud Orchard Cluster
A collaborative cloud-based computing resource designed for research projects. It provides high-performance computing tools, direct access to Google engineers, and advanced AI capabilities, enhancing cloud-based GPU resources.
Compatible with Google Shared Drive for Research.
Google Shared Drive for Research
Coming in early April 2025, each faculty member will receive a 10 TB Google Shared Drive for research data. This integrates seamlessly with Google Workspace for Education and is accessible to all faculty members.
Compatible with Google Cloud Orchard Cluster.
Public Cloud Services
Public cloud services such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure are now more accessible and available at discounted rates, allowing users to access a wider range of platforms and specialized computing resources.
Pittsburgh Supercomputing Center (PSC)
As a national supercomputing center funded by the National Science Foundation, PSC provides resources at no cost to researchers. CMU faculty, as the host institution for PSC, receive priority access to a portion of the computing time available. To request access, you need to submit a proposal to PSC.