NVIDIA, NSF Partner to Fuel Open AI for US Scientific Leadership

NVIDIA is collaborating with the U.S. National Science Foundation (NSF) to bolster scientific research through a new AI initiative. This partnership aims to establish an open AI ecosystem, providing advanced computing resources to develop multimodal language models specifically for accelerating scientific discovery and reinforcing U.S. leadership in the field. In a recent announcement, the companies detailed their joint efforts to support the Allen Institute for AI (Ai2) and its ambitious OMAI project.

The initiative, named Open Multimodal AI Infrastructure to Accelerate Science (OMAI), is a Mid-Scale Research Infrastructure project supported by the NSF and spearheaded by Ai2. Its core mission is twofold: to leverage AI for scientific breakthroughs and to advance the science of AI itself by fostering a fully open national AI ecosystem. This public-private partnership is positioned as a critical investment in U.S. technology, aligning with recent White House directives to secure America's global AI leadership.

NVIDIA's contribution to OMAI is substantial, providing its cutting-edge HGX B300 systems. These systems are built with NVIDIA Blackwell Ultra GPUs and feature industry-leading high-bandwidth memory and interconnect technologies, designed for high-efficiency model training and inference. Alongside the hardware, NVIDIA is supplying its AI Enterprise software platform, empowering OMAI to transform massive datasets into actionable intelligence and breakthrough innovations. The sheer computational power is essential for running the world's largest models and most demanding workloads, which are increasingly central to scientific inquiry.

The partnership underscores a strategic move to democratize access to advanced AI. While today's large language models (LLMs) and multimodal LLMs are driving rapid application growth, their immense power can often be out of reach for scientific researchers when parameters, training data, code, and documentation are not openly available. This lack of transparency limits the ability to deeply study and refine these complex models for specific scientific applications.

Democratizing Advanced AI for Research

OMAI directly addresses this challenge by pledging to provide fully open model access to data, open-source data interrogation tools, and comprehensive documentation. This includes training for early-career researchers, aiming to advance U.S. global leadership in science and engineering. The Ai2 project, bolstered by NVIDIA's technologies, commits to making the software and models available at low or zero cost to researchers, mirroring the accessibility of open-source code repositories and science-oriented digital libraries. This approach is consistent with Ai2's previous work in creating fully open language and multimodal models, maximizing their utility and reach.

The strategic importance of this collaboration extends beyond individual research projects. It aligns directly with the White House AI Action Plan, particularly the "Winning the AI Race: America’s AI Action Plan" announced in July. This federal strategy supports accelerating AI-enabled science and fostering the creation of leading open models to enhance America’s global AI leadership in academic research and education. The goal is to establish AI as a "powerful and renewable resource" for the nation, fueling the next wave of industrial and scientific revolutions.

The initiative is set to support research teams from a diverse range of institutions, including the University of Washington, the University of Hawaii at Hilo, the University of New Hampshire, and the University of New Mexico. This broad distribution aims to ensure that advanced AI tools and open models are accessible across the U.S. research landscape, fostering innovation and accelerating breakthroughs that were once considered impossible.