getting upgraded

Houston tech co. to build powerful supercomputer for global energy business to help reach net-zero goals

The new supercomputer is expected to be one of the world’s most powerful owned by an enterprise. Photo courtesy of HPE

A Houston tech company is building a next-generation supercomputer for one of the world’s largest energy providers.

Hewlett Packard Enterprise announced its plans to build HPC6 for Italian energy company Eni. Eni will use the system to advance scientific discovery and engineering toward accelerating innovation in energy transition to help aid its goal in getting to net zero. HPC6 is expected to be one of the world’s most powerful supercomputers owned by an enterprise.

HPC6 will be built with the same innovations that power the world’s fastest supercomputer to support data and image-intensive workloads across artificial intelligence, modeling, and simulation. According to a news release from HPE, the system will “augment Eni’s existing research that is focused on studying and identifying new energy sources, including renewable energy.”

Eni’s HPC6 will be installed in the company’s energy Green Data Center in Italy. The center will be upgraded to support HPE’s direct liquid-cooling (DLC) capabilities.

"Businesses are finding themselves balancing the huge business opportunities enabled by their AI investments with the responsibility of mitigating the environmental impact of these powerful systems," Antonio Neri, president and CEO of HPE, says in a news release.

"As the leader in developing energy efficient AI and supercomputing solutions, HPE is uniquely positioned to help organizations minimize power consumption while maximizing business outcomes," he continues. "We are excited to play a role in Eni’s commitment to decarbonization supported by digitalization and innovation."

Originally announced in 2020, HPE moved its headquarters to Houston in 2022.

Trending News

A View From HETI

Researchers have secured $3.3 million in funding to develop an AI-powered subsurface sensing system aimed at improving the safety and efficiency of underground power line installation. Photo via Getty Images

Researchers from the University of Houston — along with a Hawaiian company — have received $3.3 million in funding to explore artificial intelligence-backed subsurface sensing system for safe and efficient underground power line installation.

Houston's power lines are above ground, but studies show underground power is more reliable. Installing underground power lines is costly and disruptive, but the U.S. Department of Energy, in an effort to find a solution, has put $34 million into its new GOPHURRS program, which stands for Grid Overhaul with Proactive, High-speed Undergrounding for Reliability, Resilience, and Security. The funding has been distributed across 12 projects in 11 states.

“Modernizing our nation’s power grid is essential to building a clean energy future that lowers energy costs for working Americans and strengthens our national security,” U.S. Secretary of Energy Jennifer M. Granholm says in a DOE press release.

UH and Hawaii-based Oceanit are behind one of the funded projects, entitled “Artificial Intelligence and Unmanned Aerial Vehicle Real-Time Advanced Look-Ahead Subsurface Sensor.”

The researchers are looking a developing a subsurface sensing system for underground power line installation, potentially using machine learning, electromagnetic resistivity well logging, and drone technology to predict and sense obstacles to installation.

Jiefu Chen, associate professor of electrical and computer engineering at UH, is a key collaborator on the project, focused on electromagnetic antennas installed on UAV and HDD drilling string. He's working with Yueqin Huang, assistant professor of information science technology, who leads the geophysical signal processing and Xuqing Wu, associate professor of computer information systems, responsible for integrating machine learning.

“Advanced subsurface sensing and characterization technologies are essential for the undergrounding of power lines,” says Chen in the release. “This initiative can enhance the grid's resilience against natural hazards such as wildfires and hurricanes.”

“If proven successful, our proposed look-ahead subsurface sensing system could significantly reduce the costs of horizontal directional drilling for installing underground utilities,” Chen continues. “Promoting HDD offers environmental advantages over traditional trenching methods and enhances the power grid’s resilience.”

Trending News