Lancium, Inc., an energy technology and infrastructure company that advances the decarbonization and stability of the electric power grid, has donated more than 45 million core-hours of computing time to the OSG Consortium, a fabric of distributed High Throughput Computing (dHTC) services in support of the National Science & Engineering community.
Since June 2021, members of the OSG Consortium used Lancium Compute’s offering to support ground-breaking research, including the University of Chicago’s astrophysics research from the South Pole Telescope, the U.S. Department of Energy’s work examining atomic structure at the Thomas Jefferson National Accelerator Facility, and running machine learning models in computational chemistry for Carnegie Mellon University, among other research organizations.
“OSG is a consortium of organizations committed to advancing open science for the betterment of the world,” said Dr. Frank Würthwein, executive director of OSG. “We appreciate Lancium’s generous support of OSG over the past two years. Lancium’s mission to use HPC to decarbonize the power grid helps us fulfill our mission in a way that is truly sustainable.”
Lancium began donating compute time to the OSG Consortium as the company worked to refine its sustainable HPC concept in 2021.
“We believe that computation has the ability to solve the world’s biggest problems. But how we power that computation is a critical part of the puzzle,” said Dr. Andrew Grimshaw, president of Lancium Compute. “Lancium Compute’s unique approach reimagines how HPC can work in concert with the power grid to enable more renewable energy use. We are proud to partner with OSG to demonstrate how we can build sustainability into HPC.”
Lancium’s Clean Compute Campus™ in Abilene, Texas will be powered by 100 percent renewable energy and provide computing resources with a total cost of ownership significantly lower than leading cloud providers. Lancium will achieve reduced power costs through the use of low-cost renewable energy and by operating its data centers flexibly. This flexibility helps to enhance the stability of the electric power grid. This innovative solution creates a new, dynamic approach to running HPC and AI workloads which further encourages the development of even more renewable generation.