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Nvidia donates supercomputer to U.S. military university
SAN FRANCISCO, July 22 (Reuters) - Nvidia (NVDA.O), opens new tab and the Naval Postgraduate School (NPS) on Wednesday said that the AI chip leader has donated a supercomputer with its latest chips to a nonprofit linked to the institution. The NPS is operated by the U.S. Navy and offers masters and doctoral degrees in fields such as computer science and aerospace engineering, among others, with an emphasis on their applications in warfare. Nvidia donated a system based on its GB300 "Grace Blackwell" servers, its most advanced AI computers, to the NPS Foundation, a nonprofit connected to ā the school. Nvidia and the NPS did not disclose the size of the system, but confirmed it has been installed at the NPS campus in Monterey, California, where Adm. Samuel J. Paparo, commander of U.S. Pacific Command, and Nvidia CEO Jensen Huang planned to hold an event to announce the system. While Nvidia's Blackwell chips are planned for use in U.S. government supercomputers built by the U.S. Department of Energy, the donation on Wednesday is the first direct use of Nvidia's most advanced servers by the U.S. military. "AI will ā be a backbone of America's defense," Huang said in a statement. Both the U.S. and China are racing to deploy AI for military purposes ranging from developing targeting lists to drone warfare. "As we modernize our technology, we must also modernize how we educate our leaders," Adm. Paparo said in a ā statement. "Access to advanced computing capability means NPS students and faculty understand the opportunities and responsibilities that come with these technologies." One of AI's strengths is the ability to work through complex, fast-changing problems ā much faster than traditional computer simulation techniques. "Initially, we will need to carefully manage demand as we bring this capability online," Trenton Hancock, chief information officer at NPS, said ā in a statement. "But what this system really gives us is the ability to explore more complex, real-world problems, especially those that mirror the challenges our operational fleet faces every day." Reporting by Stephen Nellis in San Francisco; Editing by Chizu Nomiyama Our Standards: The Thomson Reuters Trust Principles., opens new tab
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NVIDIA AI Supercomputer Comes Online at Naval Postgraduate School
NVIDIA founder and CEO Jensen Huang joined school leadership in Monterey, California, to commission the system, which will fuel AI education and research at the US military's premier technical graduate university. NVIDIA founder and CEO Jensen Huang today visited the Naval Postgraduate School in Monterey, California, to commission an NVIDIA DGX GB300 system -- bringing one of the world's most powerful AI platforms fully online for the students, researchers and faculty at the U.S. military's flagship graduate university. "Our nation depends on our men and women who fight on the front lines. Nothing is more valuable to you than information and insight, and information and insight in a timely way, and to understand its impact and consequence," Huang said at the event. "I can't imagine anything more important." The DGX GB300 supercomputer with NVIDIA Mission Control software gives NPS's more than 1,500 in-resident students and 600 faculty on-premises access to large-scale AI computing, including model training and inference capability for applications spanning weather prediction, cybersecurity, and disaster resilience and response planning. The commissioning, which took place during the school's three-day Converge @ NPS event, marks the latest chapter in an ongoing collaboration to develop AI-based technologies at NPS for education and real-world applications. It's built based on an NVIDIA AI Technology Center on the Monterey campus -- a dedicated hub for AI research and graduate instruction, now anchored by the DGX GB300. "As we modernize our technology, we must also modernize how we educate our leaders," said Admiral Samuel Paparo, commander of the U.S. Pacific Command. "Access to advanced computing capability means NPS students and faculty understand the opportunities and responsibilities that come with these technologies." Training Leaders to Build With AI NPS educates active-duty officers and international partners across disciplines -- from space operations to ocean science -- awarding graduate degrees while centering each program on applied research with direct relevance to real-world problems. "Leadership is about being in service of something else. You're in service of your team. You're in service of your country. You're in service of your mission," Huang said to attendees. "And all of this technology is just tools to help you." The DGX GB300 gives those programs new technical depth: the ability to train foundation models in house, run high-fidelity simulations at scale and develop AI tools with immediate applicability. Huang told attendees that even if they aren't experts in computer science, today's computers running AI make it easy. "The most important advice that I would give to someone is to engage the technology," Huang said. "It's not as hard as you think it is, and the reason for that is because, on first principles, technology is supposed to get smarter and smarter over time." NVIDIA has also expanded the collaboration through its Deep Learning Institute, putting instructor toolkits in the hands of NPS faculty so AI is woven through graduate curricula across departments. "Many of you will command in AI-enabled environments. Information will move at lightning speeds, compressing response times," Paparo said. "Our advantage will come from leaders, like you, who can use the technology to see, understand, decide and act faster while exercising the judgment, experience and leadership that machines cannot provide. That education is happening here at NPS." From Ocean Models to Digital Twins NPS runs a regular cadence of hackathons that have produced advances in autonomy, ocean research and operations planning -- applied work that demands serious computing to scale. Researchers are using AI to model sea conditions, predict atmospheric changes and build digital twins of complex environments -- work that feeds directly into the scientific domains where NPS has deep expertise. The DGX GB300 will now power these workloads on campus. Through the school's partnership with MITRE, a nonprofit organization, NPS has developed a framework built on NVIDIA Omniverse libraries that provides high-fidelity digital twin environments for simulating real-world navigation and decision-making under uncertain conditions. To learn more, watch NPS and NVIDIA researchers present on AI modeling and simulation at NVIDIA GTC Washington, D.C. NVIDIA Partner Ecosystem Brings AI Infrastructure to Life The DGX GB300 at NPS didn't come together in isolation. DDN, VAST and Vertiv joined the effort as hardware and systems integration partners. DDN contributed high-performance data infrastructure to help researchers efficiently access, manage, protect and scale data for demanding AI workloads. VAST Data provided a unified data platform to enable secure data access and management across edge, core and cloud environments. Vertiv provided the racks, cooling and power infrastructure needed to bring the system online, as well as installation sequencing, testing and commissioning support, and fluid management and monitoring. Learn more about NVIDIA's collaboration with NPS and explore the NVIDIA DGX GB300.
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Nvidia Donates Supercomputer to U.S. Military University
SAN FRANCISCO, July 22 (Reuters) - Nvidia and the ā Naval ā Postgraduate School (NPS) on Wednesday said ā that the AI chip leader has donated a supercomputer with its latest chips to a nonprofit linked to the institution. The NPS is operated by the U.S. Navy and offers masters and doctoral degrees in fields such as computer science and aerospace engineering, among others, ā with an ā emphasis on their applications in warfare. Nvidia donated a system based on its GB300 "Grace Blackwell" servers, its most advanced AI computers, to the NPS Foundation, a nonprofit connected to the school. Nvidia and the NPS did not disclose the size of the system, but confirmed it has been installed at the NPS campus in Monterey, California, ā where ā Adm. Samuel J. Paparo, ā commander of U.S. Pacific Command, and Nvidia CEO Jensen Huang planned to hold an event to announce the system. While Nvidia's ā Blackwell chips are planned for use in U.S. government supercomputers built by the U.S. Department of Energy, the donation on Wednesday is the first direct use of Nvidia's most advanced servers by the U.S. military. "AI will be a backbone of America's defense," ā Huang said in a statement. Both the U.S. and China are racing to deploy ā AI for military purposes ranging from developing targeting lists to drone warfare. "As we modernize our technology, we must also modernize how we educate our leaders," Adm. Paparo said in a statement. "Access to advanced computing capability means NPS students and faculty understand the opportunities and responsibilities that come with these technologies." One of AI's strengths is the ability to work through complex, fast-changing problems much faster than traditional computer simulation techniques. "Initially, we will need to carefully ā manage demand as we bring this capability online," Trenton Hancock, chief information officer at NPS, said in a statement. "But what this system really gives us is the ability to explore more complex, real-world problems, especially those that mirror the challenges our operational fleet faces every day." (Reporting by Stephen Nellis in San Francisco; Editing by Chizu Nomiyama )
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Nvidia donates supercomputer to U.S. military university
SAN FRANCISCO, July 22 (Reuters) - Nvidia and the Naval Postgraduate School (NPS) on Wednesday said that the AI chip leader has donated a supercomputer with its latest chips to a nonprofit linked to the institution. The NPS is operated by the U.S. Navy and offers masters and doctoral degrees in fields such as computer science and aerospace engineering, among others, with an emphasis on their applications in warfare. Nvidia donated a system based on its GB300 "Grace Blackwell" servers, its most advanced AI computers, to the NPS Foundation, a nonprofit connected to the school. Nvidia and the NPS did not disclose the size of the system, but confirmed it has been installed at the NPS campus in Monterey, California, where Adm. Samuel J. Paparo, commander of U.S. Pacific Command, and Nvidia CEO Jensen Huang planned to hold an event to announce the system. While Nvidia's Blackwell chips are planned for use in U.S. government supercomputers built by the U.S. Department of Energy, the donation on Wednesday is the first direct use of Nvidia's most advanced servers by the U.S. military. "AI will be a backbone of America's defense," Huang said in a statement. Both the U.S. and China are racing to deploy AI for military purposes ranging from developing targeting lists to drone warfare. "As we modernize our technology, we must also modernize how we educate our leaders," Adm. Paparo said in a statement. "Access to advanced computing capability means NPS students and faculty understand the opportunities and responsibilities that come with these technologies." One of AI's strengths is the ability to work through complex, fast-changing problems much faster than traditional computer simulation techniques. "Initially, we will need to carefully manage demand as we bring this capability online," Trenton Hancock, chief information officer at NPS, said in a statement. "But what this system really gives us is the ability to explore more complex, real-world problems, especially those that mirror the challenges our operational fleet faces every day." (Reporting by Stephen Nellis in San Francisco; Editing by Chizu Nomiyama )
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Nvidia has donated its most advanced AI supercomputer to the Naval Postgraduate School, marking the first direct deployment of GB300 Grace Blackwell servers by the U.S. military. The system will power AI education and research for over 1,500 students and 600 faculty, supporting applications from weather prediction to drone warfare as the U.S. races against China in military AI capabilities.
Nvidia and the Naval Postgraduate School announced that the AI chip leader has donated a supercomputer powered by its latest GB300 Grace Blackwell servers to the NPS Foundation, a nonprofit connected to the U.S. military university
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. The NVIDIA DGX GB300 system was commissioned at the NPS campus in Monterey, California, during a ceremony attended by Nvidia CEO Jensen Huang and Adm. Samuel J. Paparo, commander of U.S. Pacific Command2
. This donation represents the first direct use of Nvidia's most advanced AI servers by the U.S. military, though Blackwell chips are planned for use in U.S. Department of Energy supercomputers3
.
Source: NVIDIA
The Naval Postgraduate School, operated by the U.S. Navy, offers masters and doctoral degrees in fields such as computer science and aerospace engineering with an emphasis on their applications in warfare
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. The AI supercomputer gives more than 1,500 in-resident students and 600 faculty on-premises access to large-scale AI computing, including model training and inference capability for applications spanning weather prediction, cybersecurity, and disaster resilience and response planning2
. According to Adm. Paparo, "As we modernize our technology, we must also modernize how we educate our leaders. Access to advanced computing capability means NPS students and faculty understand the opportunities and responsibilities that come with these technologies"3
.Jensen Huang emphasized that "AI will be a backbone of America's defense," as both the U.S. and China race to deploy AI for military purposes ranging from developing targeting lists to drone warfare
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. The system addresses AI's strengths in working through complex, fast-changing problems much faster than traditional computer simulation techniques4
. Trenton Hancock, chief information officer at NPS, noted that "what this system really gives us is the ability to explore more complex, real-world problems, especially those that mirror the challenges our operational fleet faces every day"3
.
Source: Reuters
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The commissioning took place during the school's three-day Converge @ NPS event and marks the latest chapter in an ongoing collaboration to develop AI-based technologies at NPS
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. The system is built on an NVIDIA AI Technology Center on the Monterey, California campus and comes with NVIDIA Mission Control software2
. Nvidia has expanded the collaboration through its Deep Learning Institute, putting instructor toolkits in faculty hands so AI is woven through graduate curricula across departments2
. Through partnerships with MITRE, NPS has developed a framework built on NVIDIA Omniverse libraries that provides high-fidelity digital twin simulations for navigating real-world scenarios under uncertain conditions2
. Partners including DDN, VAST, and Vertiv contributed data infrastructure, storage platforms, and cooling systems to bring the advanced AI servers online2
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