- Preparation Day (virtual): Tuesday, June 16, 2026 from 9 am - 11 am (Pacific Time)
- Summer Institute (in-person): Tuesday, June 23 - Thursday, June 25, 2026 from 8 am - 5:30 pm (Pacific Time)
Application closes Wednesday, April 8, 2026.
The San Diego Supercomputer Center (SDSC) Cyberinfrastructure-Enabled Machine Learning (CIML) program is focused on teaching researchers and students best practices for effectively running artificial intelligence (AI), machine learning (ML), and deep learning (DL) applications on advanced cyberinfrastructure (CI) and high-performance computing (HPC) systems. We are pleased to announce that this year's CIML Summer Institute is sponsored in part by the National Artificial Intelligence Research Resource (NAIRR) Pilot, an NSF-led initiative designed to democratize access to AI research by providing U.S. researchers and educators with critical infrastructure—including computational power, datasets, and training tools. The NAIRR Pilot's support reflects a shared commitment to expanding AI/ML/DL training and workforce development at a national scale.
The CIML Summer Institute introduces researchers, developers, and educators to AI, ML, DL, and large language model (LLM) concepts, along with the techniques and methods needed to migrate AI applications from smaller, locally run resources—such as laptops and workstations—to large-scale HPC systems like SDSC's Expanse supercomputer. Participants will accelerate their learning through highly interactive classes and hands-on tutorials using Expanse, and will have the opportunity to meet one-on-one with SDSC experts to discuss the best approaches for solving their specific AI problems.
The CIML Summer Institute also actively broadens participation in AI/ML/DL research by recruiting participants from institutions across the United States with limited or no access to advanced supercomputing or CI resources. Attendees are balanced across multiple scientific disciplines and institutional settings to foster a robust national AI research community—ensuring that advanced cyberinfrastructure training and expertise extend well beyond traditional research-intensive institutions.
Additionally, attendees will have opportunities to meet one-on-one with SDSC’s experts to discuss in detail the best techniques to solve their specific AI problems.
Prerequisite
- Knowledge or experience with machine learning and AI is required
- Familiarity with UNIX/Linux shell
- Basic programming skills (especially Python) are strongly recommended
- Interest in AI application
Program includes
- Overview of High-Performance Computing (HPC) and Parallel Computing Concepts
- Instructional and hands-on exercises focused on HPC techniques, Machine Learning, Scalable Machine Learning, Deep Learning, and Large Language Model (LLM) inference
- Team works on prepared training problems