Joint UCLA and Ferveret Study Confirms Performance Benefits of Ferveret’s Cooling Technology

By Decoupling Data Center Infrastructure from Water and Power Limitations, Ferveret’s technology enables a New Class of Deployments in Previously Unviable Environments

Global Investors Rally Behind Ferveret’s Next Generation Cooling Technology

SAN JOSE, Calif.--(BUSINESS WIRE)--

Ferveret, an innovative developer of liquid-cooling solutions inspired by nuclear reactor cooling technology, today announced the results of a recent Benchmark study on its flagship Adaptive Phase Cooling Solution. Results of the study in collaboration with UCLA’s Computer Science Department show Ferveret’s technology demonstrated significant advantages over traditional data center cooling technologies, including:

A 15% improvement in computational efficiency (TFLOPs/kW) compared to direct-to-chip (DTC) liquid cooling.

Zero water consumption, eliminating a critical operational constraint for data center deployments.

Power usage effectiveness of 1.03 at the facility level, representing best-in-class infrastructure efficiency.

Leading investment firms and venture capitalists, including TO VC, Aramco Venture, Cerberus, Y Combinator, Baruch Future Ventures, Verso Capital, Acclimate Ventures, Cathexis Ventures, Valkyrie, E14 and Climate Capital, are backing Ferveret’s innovative Adaptive Phase Cooling Solution. This signals their strong market conviction in the company’s next-generation approach to sustainable data center infrastructure.

According to Charles Goodwin, Partner at TO VC, Ferveret is creating a category of its own. "The data center industry urgently needs breakthrough technologies that can meet the accelerating performance demands of AI infrastructure. Co-founders Reza Azizian and Matteo Bucci spent years solving thermal management challenges in the nuclear power industry and are now applying those techniques to address the fundamental limitations of data center cooling. Their vision to deliver sustainable, high-density cooling that unlocks more compute per watt, without consuming a single drop of water, is what truly differentiates Ferveret in a market where every megawatt matters."

“AI and neo-cloud are redefining the scale, density and intensity of modern computing, and legacy cooling simply cannot keep pace. It is critical that we improve the environmental footprint of data centers as this new era unfolds,” said Reza Azizian, CEO of Ferveret. “Our Adaptive Phase Cooling solution eliminates the need for water while dramatically improving computational efficiency, allowing customers to extract more compute from the same power envelope. It delivers the scalability, sustainability, and flexibility that today's AI infrastructure demands.”

According to Azizian, the benchmark study provides clear validation that Ferveret’s Adaptive Phase Cooling technology is not just an incremental step forward, but a foundational blueprint for how the industry can responsibly and sustainably power the future of AI while increasing revenue. The study was conducted in collaboration with UCLA's Intelligent Connectivity Laboratory (ICON Lab) and used NVIDIA H200 GPUs as the reference platform. The benchmark measured server-level computational efficiency as TFLOPs/kW (tera floating-point operations per second per kilowatt of server power). This metric isolates GPU performance improvements and excludes PUE facility-level infrastructure efficiency.

“Ferveret isn’t just a cooling solution—it’s a performance multiplier that redefines expectations for modern computing infrastructure,” said Omid Abari, Associate Professor, UCLA Computer Science Department. “Our recent study shows that Ferveret cooling reduces the time required to train machine learning algorithms by enabling hardware to operate at higher sustained clock speeds. In other words, Ferveret not only provides a more efficient thermal solution but also delivers better performance, resulting in shorter training times.”

Data centers require more advanced cooling solutions to manage heat and power constraints. Today, U.S. data centers consume up to 4.5% of total electricity production, with it forecasted to reach 12% by 2028, according to the U.S. Department of Energy. Water-based liquid cooling, the conventional cooling method, is not sustainable, with U.S. data centers predicted to consume more than 700 billion gallons of water annually.

About Ferveret’s Adaptive Phase Cooling Solution

Ferveret’s Adaptive Phase Cooling Solution draws inspiration from nuclear reactor systems, which utilize subcooled boiling. Unlike saturated boiling, smaller bubbles detach more frequently and recondense in the surrounding subcooled liquid. This continuously refreshes the liquid at the chip's surface, greatly enhancing rewetting and heat transfer. Test results have yielded lower operating temperatures and the ability for chips to run reliably at higher power levels.

About Ferveret

Founded in 2021 by MIT alumni, Ferveret is an advanced cooling technology company building next-generation thermal solutions for AI data centers. Ferveret’s Adaptive Phase Cooling is inspired by a technique used in nuclear reactor systems known as subcooled boiling, which dramatically increases heat transfer efficiency while operating near ambient pressure. The technology enables higher rack densities, improved energy efficiency, and reduced infrastructure complexity compared to conventional liquid cooling approaches. Its mission is to eliminate power waste and reduce the use of natural resources for the world’s digital infrastructure. Ferveret is headquartered in San Jose, California. For more information, visit https://www.ferveret.com/.

View source version on businesswire.com: https://www.businesswire.com/news/home/20260326215352/en/

Source: Ferveret