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DOE Signs MOUs with 24 AI and Tech Leaders for $320M Genesis Mission Collaboration

DOE partners with 24 industry leaders, including OpenAI and Google, to launch a $320M Genesis Mission aimed at transforming scientific research through AI.

The US Department of Energy (DOE) has announced significant collaborations aimed at bolstering the artificial intelligence (AI) sector through its Genesis Mission, which seeks to leverage AI for scientific advancements. On Thursday, the DOE revealed it has entered into agreements with 24 organizations to further the objectives of the Genesis project.

The cohort includes prominent players from the AI landscape, such as OpenAI, Anthropic, and xAI, as well as major cloud service providers like AWS, Google, Microsoft, and Oracle. Hardware manufacturers, including Dell and HPE, alongside semiconductor companies such as AMD, Intel, and Nvidia, are also part of this initiative. Notably, Palantir, often characterized as a controversial entity, is included among the signatories.

These agreements take the form of Memorandums of Understanding (MOUs), rather than formal contracts for services. They involve organizations that have either responded to a Request for Information (RFI) or have ongoing projects with the DOE and its National Laboratories that align with the Genesis Mission.

Dr. Darío Gil, the director of the Genesis Mission and DOE Under Secretary for Science, stated, “These agreements help advance President Trump’s Executive Order to build the national AI platform for scientific discovery and uplift the entire US R&D ecosystem.” The Genesis project, which was initiated just last month via an executive order, aims to create a comprehensive Science and Security Platform by integrating resources from the DOE’s 17 National Laboratories, supplemented with contributions from industry and academia.

Earlier this month, the DOE earmarked $320 million in funding for four initiatives under the Genesis project. This includes the establishment of the American Science Cloud (AmSC), designated as the foundational infrastructure for Genesis, and the Transformational AI Models Consortium (ModCon), which focuses on model development. Additionally, various projects will work on curating existing datasets and developing AI models validated for scientific applications.

Among the organizations involved is the neocloud company CoreWeave, which has committed to making its AI cloud platform available for advanced scientific workloads. Chief Executive Michael Intrator remarked that Genesis “represents a vital national commitment to accelerating scientific discovery and reaffirming America’s leadership in research and innovation.” Consultants from McKinsey & Company have recently suggested that neoclouds like CoreWeave should adapt their business models to offer services built on their AI infrastructure, rather than simply renting GPU time, indicating that Genesis may present such an opportunity.

In a significant move, Google’s DeepMind subsidiary plans to provide its advanced AI for Science models and tools to scientists at the DOE National Laboratories. This initiative will begin with an AI co-scientist application on Google Cloud, described as a “multi-agent virtual scientific collaborator built on Gemini,” which utilizes Google’s cloud-based TPU AI chips.

OpenAI has expressed enthusiasm about the collaboration, stating that the agreement enhances its existing partnership with the DOE’s National Laboratories, paving the way for discussions on potential follow-on agreements as specific projects evolve. Kevin Weil, OpenAI’s Vice President for Science, commented, “We’re excited to collaborate with the Department of Energy and contribute to the Genesis Mission. When frontier AI meets the expertise of the national labs, it opens up new ways to explore ideas, test them faster, and accelerate scientific progress.”

The Genesis Mission represents a concerted effort to leverage the capabilities of AI in scientific research, fundamentally aiming to transform how discoveries are made and tested. As collaborations expand and funding initiatives roll out, the implications for the US scientific community and the broader technological landscape could be profound.

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