Capital · United States

Crusoe Pledges $50M in Compute Credits to White House AI Science Initiative

Credited to HPCwire · hpcwire.com · 8h ago

WASHINGTON, Oct. 8, 2026 — Crusoe today announced a $50 million commitment in high-performance AI compute credits over three years to support the Genesis Mission Consortium.

Crusoe Co-Founder and CEO Chase Lochmiller announced the pledge at the White House Science: A New Golden Age Summit alongside federal science leaders and industry peers. The contribution will provide capacity for high-performance compute and inference workloads via Crusoe Cloud, the company’s AI cloud platform, as well as technical support to researchers across more than 15 federal agencies, including the DOE, NASA, NIH, and NSF.

“AI-driven computation is fast becoming the foundational engine of modern scientific discovery,” said Lochmiller. “By committing $50 million in AI compute and inference credits to the Genesis Mission, Crusoe is putting powerful AI infrastructure directly into the hands of federal researchers tackling the nation’s biggest challenges in energy and health. We’re proud to make Crusoe Cloud more accessible to more innovators.”

The Genesis Mission (EO 14363) is the Administration’s flagship initiative to harness AI for scientific breakthroughs. Crusoe’s three-year pledge helps deliver on OSTP Director Michael Kratsios’s vision for modernizing U.S. science through bold public-private partnerships.

Today’s commitment builds on Crusoe’s role as a launch partner for the newly unveiled National Compute Grid, a separate initiative aimed at pooling advanced AI infrastructure to expand public sector and educational access for researchers nationwide.

As the AI factory company, Crusoe is on a mission to accelerate the abundance of energy and intelligence. The company provides a reliable, scalable, cost-effective, energy-first solution for AI infrastructure. By harnessing large-scale energy sources, building AI-optimized data centers, and delivering a powerful AI cloud platform, Crusoe empowers its customers and partners to build the future faster. For more information, visit crusoe.ai.

TechnologyUnited States

Argonne to Advance Scientific Discovery with New Genesis Mission Awards

Credited to HPCwire · hpcwire.com8h ago

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Argonne and collaborators will use AI to speed discovery in software, materials, physics and more

Oct. 8, 2026 — The U.S. Department of Energy’s (DOE) Argonne National Laboratory has won a new round of Genesis Mission funding to take on major scientific challenges with artificial intelligence (AI).

With these new Phase II awards, Argonne and its partners will transform scientific software development, design new materials and enzymes, reveal more about the building blocks of the universe, and improve the way particle accelerators operate. The awards build on Argonne’s earlier Phase I Genesis Mission projects and expand that work through larger, multiyear investments.

The Genesis Mission is a national initiative to mobilize government, industry, academia, nonprofits and international partners to advance AI for science and technology. Using the DOE-built American Science and Security Platform, collaborators work together on shared infrastructure that connects researchers with data, compute and AI tools to accelerate scientific discovery. Partners are focusing on the most critical challenges facing our nation in energy, national security, scientific discovery, health, space and more.

Argonne will lead a major project, AI4HPC: An Iterative Framework for AI-Assisted Scientific Software Development and Optimization. This effort will make it easier and faster for scientists to update and improve the complex software that powers discovery on high performance computing systems, including Aurora. By using AI to help translate, modernize and optimize these codes, the project will help researchers adapt to new technologies, test new ideas and ensure their results are accurate — saving time and resources across DOE’s scientific community.

Argonne is also a partner on four additional Phase II Genesis Mission projects:

Together, these projects will help scientists test ideas sooner, solve harder problems and open new paths to discovery across chemistry, materials science, accelerator science and fundamental physics.

“[AI] -enabled science is expanding and accelerating what we are able to explore and achieve,” said Argonne Director Paul Kearns. “ These Genesis Mission investments give researchers an opportunity to match scientific ambition with the scale needed to drive progress.”

The goal of the Phase II awards is to scale up and expand the impact of projects that have already shown potential for A I advantage and demonstrated a trajectory toward a transformative scientific capability. The selected projects are multiyear and use interdisciplinary teams to address national science challenges.

Additional details about Argonne’s Genesis Mission projects are available here.

The projects are funded by DOE’s Office of Science Advanced Scientific Computing Research, Basic Energy Science, Biological and Environmental Research, and Nuclear Physics programs.

Original · HPCwire

Front Method

Capital · United States

Berkeley Lab: Artificial Intelligence for Particle Accelerators Gets Another Boost

Credited to HPCwire · hpcwire.com · 8h ago

Oct. 8, 2026 — The U.S. Department of Energy (DOE) today announced significant funding to scale up promising projects that use Artificial Intelligence (AI), commonly referred to as artificial intelligence, to accelerate discovery. Lawrence Berkeley National Laboratory (Berkeley Lab) will lead the Multi-Office Accelerator Team Core Project (MOAT-Core), which applies AI to better design and run the particle accelerators that advance research in physics, chemistry, biology, and materials science.

The AI accelerator assistant Osprey was first deployed at Berkeley Lab’s Advanced Light Source. MOAT transformed Osprey into a multi-facility platform and expanded it to eight facilities at seven National Labs. Photo credit: Marilyn Sargent/Berkeley Lab.

MOAT-Core is part of the Genesis Mission, a national initiative to mobilize government, industry, academia, nonprofits, and international partners to advance AI for science and technology. Using the DOE-built American Science and Security Platform, partners work together on shared infrastructure that connects researchers with data, compute, and AI tools to accelerate breakthroughs. Partners are focusing on critical challenges in scientific discovery, energy, national security, health, space, and more.

“The Genesis Mission offers a unique opportunity to leverage the rapidly expanding power of agentic assistants and revolutionize the way that we design and operate particle accelerators,” said Jean-Luc Vay, lead of MOAT-Core and head of the Advanced Modeling Program in Berkeley Lab’s Accelerator Technology & Applied Physics (ATAP) Division.

The goal of the Phase II Genesis Mission awards is to expand the impact of projects that have already shown potential for AI advantage and demonstrated a trajectory toward a transformative scientific capability. MOAT’s award grows the project to 16 collaborating institutions and will span multiple years.

As a prototype, MOAT showed that their AI “accelerator assistant,” Osprey, could adapt to work at different facilities and optimize how particle accelerators run. Accelerator operators can use natural language to set up experiments, fine-tune settings for the particle beam, troubleshoot equipment issues, and record and synthesize incredible amounts of data.

“It’s a big software engineering task to develop a platform that works at multiple facilities, where there are different constraints and different instruments,” said Thorsten Hellert, an ATAP staff scientist and part of the Accelerator Physics Program at the Advanced Light Source (ALS), where Osprey was first deployed. “Because accelerators are custom machines, sharing software is not the default in our community. But this project got us focused on building one thing together at a scale that has never happened before, and there are a lot of benefits from it. You can plug Osprey into a new facility and it works. I think Osprey will eventually be a platform that we use at dozens of facilities worldwide.”

In the next phase, MOAT-Core will deploy Osprey’s capabilities at additional accelerators across the DOE complex and expand the tool to connect to digital twins and assist in accelerator design. By applying all of the information the AI learns at real machines, researchers will be able to quickly run more accurate simulations, plan future experiments, and design the next generation of particle accelerators — a process that currently takes years of computations and testing.

“You’re choosing from magnets and components of different types, and strengths, and lengths, and positions,” Hellert said. “There are an infinite number of possibilities, and only a handful of those are actually good solutions. The question of how to find them is a mathematically very challenging problem, but these coding agents and agentic assistants are made for speedrunning these kinds of workflows.”

Osprey is designed to improve the performance of large accelerators and light sources, which account for half of DOE’s User Facilities and cover a broad range of science. For example, the AI tool will help run and optimize the ALS-U, the state-of-the-art upgrade underway at the Advanced Light Source. Researchers will use the enhanced ALS to study molecules and materials with atomic precision and to develop new technologies in microelectronics, energy storage, pharmaceuticals, quantum computing, and more.

AI tools like Osprey could also be important for running smaller accelerators with growing uses in industry, such as making microchips with EUV lithography. “There’s a lot of benefit to industry from these kinds of tools that are developed at the National Labs,” Hellert said.

The MOAT-Core collaboration includes: Argonne, Berkeley, Brookhaven, Fermi, Thomas Jefferson, Oak Ridge, Pacific Northwest, and SLAC National Laboratories; Cornell University; Michigan State University, Facility for Rare Isotope Beams; Old Dominion University; the University of Chicago; and industry partners.

Berkeley Lab researchers are partners on five additional projects, pending final agreements, that received Phase II Genesis Mission funding awards today: Accelerating eXtreme Environment Specs-to-Silicon (AXESS), Artificial Intelligence for High Performance Computing (AI4HPC), Application-Aware Error Correction Codesign for Scientific Quantum Computing (ASQC), Lattice QCD at the Intelligence Frontier, and MAESTRO (Multi-agent AI Expert for Subsurface Reasoning and Optimization).

DOE also announced additional Phase I Genesis Mission awards. Berkeley Lab researchers will partner on two projects, pending final agreements: From Beam Loss to Beam Intelligence: Adaptive Generative AI for Autonomous Accelerator Facilities, and Closed-Loop Autonomous Discovery of Mechanistic Activity-Selectivity-Stability Rules in Catalysis. Berkeley Lab continues to lead 13 previously announced Phase I Genesis Mission projects and collaborates as a partner on more than 30 others.