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NVIDIA and NSF Launch Groundbreaking NAIRR AI Research Initiative - Blockchain.News

NVIDIA and NSF Launch Groundbreaking NAIRR AI Research Initiative

Zach Anderson Jan 27, 2024 05:22

NVIDIA and the NSF partner to launch the NAIRR pilot, a major initiative to advance AI research in the U.S. by providing resources and promoting responsible AI innovation, strengthening America's global AI competitiveness.

NVIDIA and NSF Launch Groundbreaking NAIRR AI Research Initiative

NVIDIA and the United States National Science Foundation (NSF) have embarked on a journey to significantly advance the field of artificial intelligence (AI). This partnership, under the banner of the National Artificial Intelligence Research Resource (NAIRR) pilot, aims to broaden access to the tools necessary for responsible AI discovery and innovation.

NVIDIA, a leader in AI chip manufacturing, has pledged a remarkable $30 million in technology contributions over two years. This commitment is set to include NVIDIA DGX Cloud AI supercomputing resources and NVIDIA AI Enterprise software. The intent is to harness insights from researchers using NVIDIA's platforms, thereby enhancing the technology's effectiveness.

The NAIRR pilot program, supported by NVIDIA and 10 federal agencies, marks a significant step in creating a shared national research infrastructure. It's a collaborative effort, combining the strengths of private-sector, nonprofit, and philanthropic organizations. This union of diverse partners underscores the urgency in developing a National AI Research Resource for the future of AI in America.

Transforming the AI Landscape

The launch of NAIRR is aligned with President Biden’s Executive Order 14110, signed in October 2023, directing the NSF to initiate the pilot within 90 days. NSF Director Sethuraman Panchanathan has emphasized the project's importance, stating that the initiative will bolster the United States’ global competitiveness in AI research.

This initiative will provide U.S.-based researchers and educators with access to advanced computing resources, datasets, models, software, training, and user support. The focus is not just on high-end research centers but also on smaller, rural, and underrepresented institutions, democratizing AI innovation across a wide array of scientific communities.

NVIDIA's CEO, Jensen Huang, has highlighted the transformative potential of AI, emphasizing the need for widespread access to its capabilities. In addition to supporting fundamental AI research, NVIDIA's involvement extends to enhancing educational and workforce training programs in AI literacy and skill development.

The pilot program's goals are multifaceted, focusing on safe, secure, and trustworthy AI, with applications spanning healthcare, environmental science, and infrastructure sustainability. Researchers can apply for initial access to NAIRR pilot resources through the NSF, and the program is open to further collaborations with the private sector and nonprofits.

The Impact of Collaboration

The NAIRR pilot symbolizes a unified approach to AI research, involving various government entities such as the U.S. Department of Agriculture, Department of Energy, Department of Veterans Affairs, National Aeronautics and Space Administration, National Institutes of Health, National Institute of Standards and Technology, National Oceanic and Atmospheric Administration, Defense Advanced Research Projects Agency, U.S. Patent and Trade Office, and the Department of Defense.

This collaboration is reminiscent of the United States' historical leadership in large-scale scientific endeavors, positioning the country at the forefront of global AI advancements. As the pilot program progresses, it aims to prove that future investments in NAIRR will democratize access to AI innovation and support the development of trustworthy AI.

Conclusion

The partnership between NVIDIA and the NSF in the NAIRR pilot program is a testament to the power of collaboration in advancing technological frontiers. By pooling resources, expertise, and vision, this initiative promises to reshape the landscape of AI research and development, making it more accessible, responsible, and impactful.

Image source: Shutterstock