Indiana's Supercomputing & AI Resources
I-CAN provides a single access point to Indiana's leading compute resources — matched to your workload, routed through one intake, supported by Indiana's leading research universities.
Anvil
Purdue University
Leadership-class HPC for AI, modeling and simulation
Anvil is an NSF-funded leadership-class supercomputer at Purdue University, designed for large-scale AI/ML training, data analytics, and simulation. With over 1,000 compute nodes and over 10 petabytes of high-performance storage, Anvil is one of the most capable academic HPC systems in the nation.
Common Use Cases
- Large-scale AI and machine learning
- Genomics and bioinformatics pipelines
- Climate and materials simulation
- Data analytics at petabyte scale
Access: Available to academic researchers via XSEDE/ACCESS allocation or I-CAN intake. Industry access via Purdue fee-for-service.
Key Specs
Jetstream2
Indiana University
On-demand cloud research computing with GPU acceleration
Jetstream2 is an NSF-funded cloud-based research computing system at Indiana University. It provides flexible, on-demand virtual machines and GPU-accelerated instances for AI research, interactive computing, and science gateways — accessible without traditional HPC expertise.
Common Use Cases
- Interactive AI/ML development environments
- Science gateways and web-based research tools
- Containerized and reproducible research workflows
- Collaborative research with persistent VMs
Access: Available to academic researchers via ACCESS allocation or I-CAN intake. Flexible on-demand provisioning.
Key Specs
Center for Research Computing
University of Notre Dame
Notre Dame's campus HPC and research computing infrastructure
The Notre Dame Center for Research Computing provides campus HPC clusters, research storage, and computational support to Notre Dame researchers — and, through I-CAN, to the broader Indiana research and industry community.
Common Use Cases
- Computational science and engineering
- Machine learning and data science
- Bioinformatics and life sciences
Access: Available through I-CAN resource matching for qualifying research and industry pilots.
Key Specs
NAIRR
National AI Research Resource
National AI Research Resource — National AI infrastructure
The National AI Research Resource (NAIRR) is a national initiative providing access to AI computing, datasets, models, and tools. I-CAN serves as pathway to connect Indiana with resources available in the NAIRR, navigating eligibility and applications for access.
Common Use Cases
- Foundation model fine-tuning and research
- Access to curated AI research datasets
- Applications of AI for domain research
Access: US users only. I-CAN can help determine eligibility and guide the application process.
Key Specs
Choosing the Right Resource
Not sure which system fits your workload? I-CAN's intake process handles the matching — but here's a quick guide.
| Your Need | Best Resource |
|---|---|
| Large-scale HPC / simulation | Anvil |
| Interactive AI development | Jetstream2 |
| Academic AI research (federal) | NAIRR |
| Campus-based research (ND) | Notre Dame CRC |
| Not sure | I-CAN Intake |
Ready to Get Started?
Submit a single intake request and I-CAN will match you to the right resource — no HPC expertise required.