Cal Poly introduces $3 million AI supercomputer, with wider campus access next

Cal Poly publicly introduced its $3 million AI Factory supercomputer on October 22, 2026, moving toward wider campus access after months of small-group testing. Students and faculty are expected to gain access the following week, giving them computing resources for AI projects too large or complex for standard computers.

Despite its name, the AI Factory is a computing system, not a new building. It sits inside the university’s Computer Science building in San Luis Obispo. Its public debut came during AI Day, where Cal Poly held a digital ribbon cutting alongside faculty presentations and student research projects.

From a campus plan to small-group testing

The project predates this week’s ceremony. In its November 17, 2025 announcement, Cal Poly described a $3 million investment from the Noyce School of Applied Computing. The planned configuration included four NVIDIA DGX B200 systems, high-performance storage, networking and NVIDIA’s AI software stack—the software used to develop and run AI.

That announcement projected full operation by January 2026. The current milestone is broader access after testing: a small group of students and faculty has used the system since June, according to Ryan Matteson, Cal Poly’s technology and training director. Wider student and faculty availability is now expected the week after the October 22 unveiling.

KSBY identified the installed platform as an NVIDIA DGX BasePOD, a system supplying computing resources for advanced AI work. Cal Poly’s original plan also included collaboration with Mark III Systems to build the installation, pairing the computing machines with the storage and networking needed to support them.

This is a facility that will allow students and professors to build AI models, and in many cases, build models that are more efficient or effective or powerful for a specific task

Ryan Matteson, Cal Poly technology and training director, speaking to KEYT

Building models across disciplines

Cal Poly’s stated goal extends beyond computer science. Its original announcement said students across all majors should gain experience building AI systems rather than relying solely on commercial tools. It identified agriculture, energy generation and transportation, environmental monitoring, and advanced image processing as fields the AI Factory would support.

Ownership is another part of the university’s case for campus hardware. Cal Poly says keeping the system onsite gives it greater control over data use and technology development. Its earlier announcement emphasized ownership of the data, models and applications developed on the system, alongside an aim to reduce cost barriers to advanced computing.

Regional access was also part of that earlier vision. Cal Poly said businesses and organizations might work with faculty and students to use the system on technical challenges. That remains a collaboration prospect; the access milestone described at the unveiling concerns Cal Poly students and faculty.

The resources behind the research

The unveiling also brought a caution about the resources AI requires. Ashley Lowe, a fourth-year environmental engineering student, welcomed its research potential but told KEYT that benefits must be weighed against environmental effects, including water and land use. Her concern accompanied the launch rather than an assessment of this system’s measured footprint.

Matteson said the installation uses existing campus power and cooling capacity, with some electricity supplied by Cal Poly’s solar farm. He said it replaces other equipment without adding power load. As broader access approaches, his stated research priority is AI for public good: projects addressing problems in California and beyond.