virginir.com - Terizza Forms Strategic Collaboration with UC San Diego to Pioneer Next-Generation Distributed AI Infrastructure

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Collaboration Aims to Ensure "No Software Left Behind, No Data Left Behind" in Adoption of AI

LOS ALTOS, Calif. - Virginir -- Terizza, Inc., a pioneer in next-generation distributed AI infrastructure, today announced a groundbreaking collaboration with the San Diego Supercomputer Center (SDSC) and Halıcıoğlu Data Science Institute (HDSI) at the University of California San Diego (UC San Diego) School of Computing, Information and Data Sciences (SCIDS) to usher in a new era of distributed systems for artificial intelligence. The collaboration is focused on the seamless integration of Large Language Models (LLMs) with relational, multi-modal and knowledge graph data to unlock AI's full enterprise potential in a more time-efficient manner.

Next-Generation Distributed AI Infrastructure

Current generation AI systems struggle to integrate efficiently with existing applications and databases. Terizza's technology bridges this gap, while SDSC and HDSI bring aligned missions – offering complementary expertise, real-world use cases and distributed facilities via the National Research Platform, which is supported by the U.S. National Science Foundation, the U.S. Department of Energy, the U.S. Department of Defense and additional organizations. Together, these partners are establishing the foundation for next-generation AI infrastructure research, development and deployment. Their focus encompasses the development of relational compute methods for AI that support machine-generated code, agentic workflows and real-time inference at scale. This reimagined AI methodology eliminates bottlenecks in current SQL-driven AI tools – using less energy while delivering faster AI workloads at lower costs.

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Enabling AI Adoption by Existing Applications, an Industry First

"Data has value, but that value is getting left behind as new AI algorithms and systems blaze new trails. Terizza paves a smooth path for all the data to come along and to keep up with the fast changing world of AI," said Renu Raman, CEO of Terizza. "So now LLMs can actually reason over diverse, and often high-quality, enterprise data. It turns out if you have the data, you can have the software that uses it, too."

The collaboration with UC San Diego SCIDS highlights Terizza's novel memory-first massive-concurrency approach designed to power LLMs, tabular data, multi-modal data and knowledge graphs.

"The SDSC-Terizza partnership is the first of many ongoing academia-industry collaborations," said Frank Wuerthwein, Director, SDSC. "By providing highly affordable state-of-the-art distributed and heterogeneous AI, we are removing a major barrier to innovation and ensuring that our researchers and graduates are equipped to lead in the age of AI. This is a commitment to the future of education and research."

"Enterprise data is primarily private and has not yet been accessible to the powerful new capabilities of LLMs," said Zachary Smith, CEO of Datum and former leader of Packet and Equinix Edge Infrastructure. "Terriza's memory-centric compute architecture brings intelligence to private, scaled Enterprise data and is a critical unlock for businesses looking to leverage the disruptive advantages of AI."

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"Terizza is the missing link for enterprise AI and the problems it solves are of growing concern in this age of agentic AI," said Adrian Cockcroft, former vice president at AWS, technology fellow at Battery Ventures and advisor to Terizza.

Terizza's technology transforms text, images, video and structured data into actionable insights – driving innovation in healthcare, agriculture, finance and media. With built-in disaster recovery, version control and high availability, it delivers secure, scalable and reliable AI operations – simplifying everything from development to large-scale production AI workloads.

About Terizza, Inc.

Terizza is redefining AI for enterprises, delivering high-concurrency, multi-modal AI workloads in private cloud and colocation environments while ensuring HIPAA, GDPR, and SOC 2 compliance. Designed for real-time AI inference, batch processing and AI-driven search, the Terizza solution optimizes performance while minimizing compute overhead.

About UC San Diego SCIDS (HDSI + SDSC)

UC San Diego's School of Computing, Information and Data Sciences (SCIDS) meets a critical need in modern society to transform data into actionable knowledge across disciplines to advance data science and AI education. SCIDS combines the strengths of the San Diego Supercomputer Center, a national leader in high-performance and data-intensive computing, and the Halicioğlu Data Science Institute, a pioneering interdisciplinary institute that advances data science and AI education and research.