Cal Poly opens NVIDIA-powered AI Factory for research and education

Bringing high-end compute to campus

Cal Poly recently unveiled its new AI Factory, a dedicated facility designed to give students and faculty direct access to advanced computing. As AI models grow in complexity, they often require more power than a standard laptop can provide. This new infrastructure helps bridge that gap by bringing the necessary hardware directly to the university campus.

The facility is powered by four NVIDIA DGX B200 systems. This investment was made possible by a $3 million funding contribution from the Noyce School of Applied Computing. The school was established in 2024 following a $60 million gift from the Robert N. Noyce Trust to create a state-of-the-art research environment.

By hosting these systems on-site, the university aims to increase the efficiency of its proprietary research projects. This move also helps lower costs because the school no longer has to purchase expensive computing time from outside agencies. It allows the institution to maintain greater control over the educational environment and research methodologies.

Privacy and processing power

One of the primary advantages of the AI Factory is its ability to handle sensitive information. For example, researchers working on spinal cord injuries and genetic risks must deal with protected patient data. Because this information cannot be shared with external AI services, the local factory allows for secure, on-site model training.

Professor Paul Anderson noted that before this facility existed, his team could not work on certain problems due to a lack of resources. With the new hardware, researchers now have the capacity to train frontier models on complex medical data. This ensures that high-level research can proceed without compromising patient privacy or security protocols.

The facility also improves the speed of environmental and industrial analysis. One professor is using machine learning to analyze drone imagery of eelgrass in Morro Bay. This system can match the quality of manual human annotation while processing the images roughly 10 times faster than previous methods.

Educational goals and student impact

The university is using the AI Factory to support its "Learn by Doing" mission by giving students hands-on experience with large systems. Students can now work directly with the hardware to understand how these models are built and how they function. This approach is intended to prepare graduates to evaluate and shape the technology as it develops.

One student is currently using the resources to develop a tool for legal professionals. The project aims to help these professionals determine if digital images submitted as evidence have been altered. By building these tools, students gain a deeper understanding of the technical and ethical choices involved in AI development.

Assistant professor Alex Bisberg emphasized that training models themselves allows students to learn about the systems while researching ways to improve them. The goal is to ensure that students entering the workforce can recognize the limits of AI and question its outputs. This preparation is vital as the public becomes more concerned about the ethics and environmental impacts of large-scale data centers.

The future of AI in academia

The launch of the AI Factory was highlighted during a larger AI Day event on the San Luis Obispo campus. During the event, NVIDIA vice president Charlie Wuischpard spoke about how AI technology creates new opportunities for educators and researchers. The day showcased how the university is integrating these tools into their existing curriculum.

The university believes that academia has an obligation to the public good by preparing students to contribute meaningfully to the field. By providing the tools to build AI, the school ensures that students are not just consumers of the technology. Instead, they are being trained to be the people who shape its responsible implementation.

The Noyce School of Applied Computing serves as the hub for this initiative, bringing together three departments: Electrical Engineering, Computer Science and Software Engineering, and Computer Engineering. This interdisciplinary approach aims to create a comprehensive environment for AI research. The school honors the legacy of Robert N. Noyce, a foundational leader in the development of the silicon microchip.