Allen Institute for AI Secures $152M from NSF and Nvidia to Lead National Open AI Project for Scientific Research

Allen Institute for AI Secures Major Funding for National AI Project

The Allen Institute for AI (Ai2) has secured a landmark $152 million in funding to lead a national project developing open AI models for scientific research. This initiative, known as the Open Multimodal AI Infrastructure to Accelerate Science (OMAI), is a collaborative effort between the U.S. National Science Foundation (NSF) and Nvidia, positioning Ai2 as a key player in building the technological backbone of U.S. artificial intelligence 1

1

2

2

.

Funding Breakdown and Project Goals

The five-year initiative comprises $75 million from the NSF and $77 million from Nvidia, aligning with the White House AI Action Plan to strengthen U.S. leadership in AI-driven research 1

1

3

3

. OMAI aims to develop a family of large, fully open, multimodal AI models trained on scientific literature and data, with the goal of accelerating breakthroughs in fields such as materials science, biology, and energy 1

1

.

Technological Infrastructure and Support

Nvidia will provide state-of-the-art AI infrastructure, including NVIDIA HGX B300 systems built with Blackwell Ultra GPUs and the NVIDIA AI Enterprise software platform 2

2

4

4

. This advanced hardware is designed to handle massive datasets with high efficiency, speeding up the pace of scientific discovery 1

1

.

Open AI Models for Scientific Research

Unlike many leading AI systems that are fully proprietary or only partially open, Ai2's models will be released with full weights, training data, code, and evaluation tools. This transparency is crucial for scientists to recreate results and trust the technology used in high-stakes research 1

1

4

4

.

Collaborative Efforts and Timeline

The project involves research teams from multiple universities, including the University of Washington, University of Hawai'i at Hilo, University of New Hampshire, and University of New Mexico 1

1

2

2

. Ai2 expects the first major model to be available approximately 18 months into the five-year effort, with datasets, code, and other resources released along the way 1

1

.

Impact on Scientific Research and AI Development

OMAI models will be designed for scientific workflows, helping researchers process and visualize data, generate code for analysis, and identify patterns they might otherwise miss. The systems could also surface relevant findings from outside a researcher's specialty, linking new insights to past discoveries to speed breakthroughs 1

1

4

4

.

Significance for U.S. AI Leadership

This initiative marks NSF's first major investment in AI software infrastructure for science, emphasizing the acceleration of AI-enabled science and supporting the creation of leading open models to enhance America's global AI leadership in academic research and education 2

2

3

3

. The partnership between NSF, Nvidia, and Ai2 is seen as a critical step in securing U.S. global leadership in science and technology 2

2

.

Ai2's Role and Future Prospects

Founded in 2014 by Paul Allen, Ai2 has operated largely behind the scenes of the AI boom in recent years. This new federal and corporate backing stands to elevate its profile significantly 1

1

. The OMAI project builds on Ai2's experience creating OLMo and Molmo, two families of high-performance open AI models, along with open datasets such as Dolma 1

1

.