Skip to main content
Add as a preferred source on Google


UT San Antonio to Invest in Research Computing Infrastructure

Supported by a technology grant from Dell Technologies, The University of Texas at San Antonio is building out its high-performance computing infrastructure to serve its research programs, particularly in data science and cybersecurity.

The university is implementing a range of Dell Technologies solutions, including servers, storage, networking and data protection, according to a news announcement. A new HPC cluster will feature 156 nodes of Dell EMC PowerEdge servers, capable of 353 teraflops — more than doubling the computing speed of the UTSA's current SHAMU HPC cluster. The new infrastructure will "provide reliable services, reduce operating expenses, transform procedures and operating models as well as offer supercomputing resources as a service," the announcement said.

UTSA is working toward attaining National Research University Fund eligibility and an R1 designation by the Carnegie Commission. The new computing infrastructure will meet the guidelines and requirements of the National Science Foundation, National Institutes of Health, U.S. Department of Homeland Security and U.S. Department of Energy, as well as Texas statutes, helping move the university's research efforts forward. Current UTSA research programs benefiting from the technology grant include the Open Cloud Institute, Cybersecurity Manufacturing Innovation Institute and Matrix AI Consortium.

"Dell's technology donation to UTSA's knowledge enterprise will drive further transdisciplinary research across the university including the humanities and the arts as we expand the research IT infrastructure to be inclusive for all," commented Bernard Arulanandam, vice president for research, economic development and knowledge enterprise at UTSA, in a statement. "Our dedicated research centers and institutes will benefit from this investment, by spurring additional high-research activities and engaging even more undergraduate and graduate students in the investigative process."

About the Author

Rhea Kelly is editor in chief for Campus Technology, THE Journal, and Spaces4Learning. She can be reached at [email protected].

Featured

  • Silhouettes of business professionals stand against a blurred futuristic city skyline at night, with a glowing digital network data connection

    It's Time for Higher Ed to Get Serious About AI Strategy

    Without a coordinated strategy that involves multiple academic and administrative units across the entire campus, colleges risk wasting resources, duplicating efforts, and ultimately failing to deliver on the promise of deploying technology to improve learning and operations.

  • Educational path and career development growth with neon icons for study, idea, graduation, and success

    How to Embrace Lifelong Learning as a Non-negotiable for Career Growth

    In a world shaped by rapid technological change and shifting economic forces, staying curious and committed to learning is the most powerful way to stay prepared.

  • large group of college students sitting on an academic quad

    Student Readiness: Learning to Learn

    Melissa Loble, Instructure's chief academic officer, recommends a focus on 'readiness' as a broader concept as we try to understand how to build meaningful education experiences that can form a bridge from the university to the workplace. Here, we ask Loble what readiness is and how to offer students the ability to 'learn to learn'.

  • AI word on microchip and colorful light spread

    Microsoft Unveils Maia 200 Inference Chip to Cut AI Serving Costs

    Microsoft recently introduced Maia 200, a custom-built accelerator aimed at lowering the cost of running artificial intelligence workloads at cloud scale, as major providers look to curb soaring inference expenses and lessen dependence on Nvidia graphics processors.