Nvidia and US NSF Collaborate for AI Advancement

Nvidia, a renowned manufacturer of artificial intelligence (AI) chips, and the United States National Science Foundation (NSF) have joined forces to establish a new AI research initiative. The objective of the National Artificial Intelligence Research Resource (NAIRR) pilot is to enhance access to the necessary tools for responsible AI exploration and innovation. Over the next two years, Nvidia has pledged $30 million worth of contributions in its technology. The company intends to gather insights from researchers using its platforms to improve the effectiveness of the technology, while also providing NVIDIA DGX Cloud AI supercomputing resources and NVIDIA AI Enterprise software.

Ten additional partners, including the National Institute of Standards and Technology and the Defense Advanced Research Projects Agency, among others, have joined NAIRR throughout the U.S. government. Sethuraman Panchanathan, the director of NSF, emphasized the urgency of developing such resources for the future of AI in America and hailed the collaborations on the NAIRR pilot. By investing in AI research through NAIRR, the United States aims to catalyze discovery, foster impactful outcomes, and bolster its global competitiveness.

The ultimate vision for NAIRR is to offer researchers and communities access to computing power, data, models, and software, as stated by Katie Antypas, the director of the Office of Advanced Cyberinfrastructure at NSF. This launch of the NAIRR pilot aligns with the goals outlined in the Biden administration’s executive order on AI, released in October 2023. The executive order directed NSF to initiate a pilot for NAIRR within three months.

Cointelegraph has reached out to NSF in order to obtain additional information about the NAIRR pilot. In a separate development, Nvidia has also formed a partnership with Equinix, a data center operator, to provide supercomputing systems to the company’s corporate clients. Jensen Huang, the founder and CEO of Nvidia, stated that generative AI is revolutionizing every industry and highlighted that enterprises can now own Nvidia AI supercomputing and software, combined with Equinix’s operational efficiency, in numerous data centers across the globe. Equinix, headquartered in California, is a leading global provider of colocation data centers, with 248 data centers in 31 countries spread across five continents.

9 thoughts on “Nvidia and US NSF Collaborate for AI Advancement

  1. Just another example of big companies getting all the resources while smaller researchers struggle. Not fair.

  2. I’m skeptical about the effectiveness of this initiative. Will it really accomplish anything?

  3. This collaboration between Nvidia and NSF is a game-changer for AI research! The National Artificial Intelligence Research Resource pilot will open up exciting opportunities for innovation and responsible exploration. Kudos to both organizations for prioritizing the development and accessibility of AI resources!

  4. The collaboration with additional partners, including the National Institute of Standards and Technology and the Defense Advanced Research Projects Agency, is a testament to the significance of NAIRR. It’s reassuring to see various entities coming together to drive the future of AI research and innovation.

  5. This is just another way for the government to control and monitor AI research. Not a fan.

  6. The partnership between Nvidia and Equinix is a winning combination! 💥 Empowering corporate clients with Nvidia AI supercomputing and Equinix’s operational efficiency is a recipe for success. 🌟 Great move, Jensen Huang and team!

  7. Wow, $30 million worth of contributions from Nvidia? That’s some serious dedication to advancing AI technology and its capabilities. It’s fantastic to see companies like Nvidia taking the lead in driving progress in this field!

  8. It’s hard to trust Nvidia’s intentions when they have a vested interest in improving their own technology.

  9. million worth of contributions? There are so many other areas that could use that money more effectively!

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