Explore Advanced Research Computing Services
High Performance Computing
Our Linux-based clusters provide tailored environments to ensure U-M researchers have the computational resources they need to excel.
- Great Lakes HPC Cluster
U-M’s flagship HPC resource. Support computationally intensive research across disciplines with a focus on simulations, data modeling, and AI. - Armis2 HPC Cluster
A secure HPC environment built to handle sensitive data, including Protected Health Information (PHI). - Lighthouse HPC Cluster
A flexible HPC environment for researchers requiring specialized computing resources not available on Great Lakes or Armis2. - ARC Research Purchased Hardware
Researchers with unique requirements not covered by the existing pay-as-you-go services can purchase hardware to be integrated into our high-performance computing clusters: Great Lakes, Armis2, and Lighthouse. - ACCESS
National HPC & Cloud Computing Resource.
Advanced Research Storage
Our services include high-capacity storage for active research, large-file storage for inactive data, and replicated tape-backed archive storage for housing research data long term.
- Turbo Research Storage
High-capacity, high-performance network storage solution, providing secure and reliable data storage. Designed to be highly flexible, handling small and large files efficiently. - Locker Large-File Storage
Cost-optimized, high-capacity, large-file storage service for research data providing high-performance capabilities for handling large files. - Data Den Research Archive
Disk-caching, tape-backed archive system for preserving electronic data generated from research activities. Low-cost, highly durable system only available in replicated format and used for data that is set aside and is not being used, but needs to be stored.
Storing of sensitive data is supported through each of our storage services. For more information on storing sensitive data, refer to the Sensitive Data Guide.
Secure Research Support
Secure Enclave Services
High-performance, secure, and flexible computing environments enabling the analysis of sensitive data sets restricted by federal privacy laws, proprietary access agreements, or confidentiality requirements.
Provides NIST 800-171 compliant options and is suitable for working with restricted data, including Controlled Unclassified Information (CUI).
Training & Consulting
HPC Training Sessions
Upcoming training opportunities to help users leverage ARC’s services for their research, including overviews on Linux Command Line, research computing resources, and more.
Consulting Service
Get support to implement machine learning and data driven workflows within research projects.
Coderspaces
Get help with research methodology, statistics, data science applications, and computational programming for research. Hosted by the Institute for Social Research.
