Meeting Research Compute Needs Through Partnership with NCSA

Northwestern IT has kicked off a project that will give researchers access to a powerful new resource designed to meet the growing GPU compute needs of Northwestern. GPU computing continues to be a necessary tool to accelerate discovery in some of today’s most computationally intensive fields.

The new resource is a state-of-the-art GPU computing cluster co-located at the National Center for Supercomputing Applications (NCSA) at the University of Illinois Urbana-Champaign. This new service, expected to launch in summer 2027, will significantly expand the University’s capacity for artificial intelligence (AI), machine learning, and other GPU-accelerated research—opening the door to faster insights, more complex models, and larger-scale experimentation.

The project reflects a growing need across the Northwestern research community, while balancing data center impacts. Demand for high-performance computing—especially GPU-based computing—continues to rise as AI and data-intensive methods become central to work across disciplines. Traditional CPU-based systems remain essential, but GPUs are increasingly critical for tackling advanced workloads in fields such as medicine, natural sciences, engineering, social sciences, and arts.

A Scalable Model for the Future

In addition to expanding capacity, the new cluster represents a strategic shift in how Northwestern delivers high-performance computing.

Rather than relying solely on on-campus infrastructure, the cluster will be hosted at NCSA, a leading national hub for advanced computing and research collaboration. The approach allows Northwestern to take advantage of existing specialized facilities designed to support large-scale high-performance computing systems, including the power, cooling, and networking required for GPU-dense environments.

By leveraging an off-campus location, Northwestern can continue to scale computing resources through this new partnership—creating a more flexible, sustainable path for future growth.

Advancing Research Across Disciplines

Once launched, the new GPU cluster will provide researchers with scalable, high-performance resources tailored to modern computational needs. The service is designed to support a wide range of use cases, including:

• AI and machine learning model development
• Data-intensive research and large-scale analytics
• Scientific simulations and complex computational workflows
• GPU-accelerated applications across disciplines

The project spans the full lifecycle of service delivery—from system design and procurement to installation, testing, and pilot use—ensuring the cluster is built to meet the evolving needs of Northwestern’s research community.

What’s Next—Including a Chance to Name It

Work on the cluster is underway, with cross-functional teams collaborating to design, deploy, and prepare the service for researchers. As the project progresses, Northwestern IT will share updates and opportunities for engagement.

One of those opportunities is coming soon: a campus-wide naming contest. Later this summer, faculty, staff, and students will be invited to help name the new cluster—offering a chance to shape how this important resource is viewed across the Northwestern research community.

Stay tuned for more details on how to participate and help put your stamp on Northwestern’s newest research computing capability.