TLDR: The Allen Institute for AI (Ai2) has received a significant $152 million in funding from the U.S. National Science Foundation (NSF) and NVIDIA. This investment will fuel the Open Multimodal AI Infrastructure to Accelerate Science (OMAI) project, aiming to develop open-source AI models and tools to revolutionize scientific discovery across various fields, aligning with the White House’s AI action plan.
The Allen Institute for AI (Ai2), a Seattle-based non-profit, has announced a groundbreaking $152 million funding initiative aimed at accelerating scientific research through the development of open artificial intelligence models. This substantial investment is a collaborative effort, with the U.S. National Science Foundation (NSF) contributing $75 million and tech giant NVIDIA pledging an additional $77 million, totaling $152 million in grants.
The funding will primarily support the Open Multimodal AI Infrastructure to Accelerate Science (OMAI) project, a bold initiative designed to transform how scientific investigations are conducted in the United States. The core objective of OMAI is to create sophisticated, open-source AI models capable of processing vast amounts of scientific data, accelerating discovery, and overcoming traditional research bottlenecks.
These advanced AI systems will be built upon open-source, multimodal large language models, specifically trained on extensive scientific literature and data. This approach ensures broad accessibility and fosters collaboration across various disciplines. NVIDIA is supporting Ai2’s OMAI initiative by providing unrestricted access to model data, open-source tools for data interrogation, comprehensive documentation, and training for early-career researchers. The systems will leverage NVIDIA’s state-of-the-art HGX B300 AI systems, equipped with Blackwell Ultra GPUs, ensuring exceptional acceleration, scalability, and efficiency for demanding workloads.
Jensen Huang, founder and CEO of NVIDIA, emphasized the transformative potential, stating, ‘AI is the engine of modern science, and large open models for America’s researchers will ignite the next industrial revolution.’ He added, ‘In collaboration with NSF and Ai2, we’re accelerating innovation with state-of-the-art infrastructure that empowers US scientists to generate limitless intelligence, making it America’s most powerful and renewable resource.’
The initiative is set to benefit research teams from multiple institutions, including the University of Washington, the University of Hawaii at Hilo, the University of New Hampshire, and the University of New Mexico. Initial applications of Ai2’s work are expected to include accelerating the discovery of new materials, improving protein function prediction for biomedical advancements, and empowering scientists to generate code and visualizations, and connect new insights to past discoveries at unprecedented speeds.
This public-private partnership aligns with the priorities outlined in the White House AI Action Plan, specifically ‘Winning the AI Race: America’s AI Action Plan,’ which emphasizes expediting federal permitting for data center infrastructure and promoting the export of American AI technology. The OMAI initiative is seen as a crucial step in accelerating AI-enabled scientific research and developing leading open models to enhance America’s global AI leadership in academic research and education. Brian Stone, performing the duties of the NSF director, remarked that ‘bringing AI into scientific research has been a game-changer.’
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Ai2 commits to making its software and models available at little to no cost to researchers, akin to open-source code repositories and science-focused digital libraries, further maximizing accessibility and strengthening U.S. global leadership in science and engineering.
