Latest news with #DionHarris
Techday NZ
8 hours ago
- Business
- Techday NZ
Vertiv unveils 142kW AI data centre design for NVIDIA GB300
Vertiv has introduced a 142kW cooling and power reference architecture for the NVIDIA GB300 NVL72 platform, aiming to facilitate higher density and energy efficiency in data centres supporting advanced AI workloads. This new reference architecture is designed for customisation in bespoke data centre environments to reduce both planning times and risks associated with modern data centre buildouts. Vertiv's solutions are now available as SimReady 3D assets within the NVIDIA Omniverse Blueprint, supporting AI factory design and operations through digital simulation and validation. Reference architecture capabilities The architecture supports rack densities of up to 142 kW and offers integrated end-to-end cooling and power strategies for AI-driven data centre deployments. These capabilities address the increasing requirements of data centres as AI workloads become more prevalent and power consumption rises accordingly. Vertiv collaborates closely with NVIDIA on developing AI infrastructure strategies and designs that anticipate higher rack power densities. The company is developing support for 800 VDC data centre power infrastructure, including 1 MW IT racks and beyond, with these solutions anticipated to be available starting in 2026. The Vertiv 360AI infrastructure platform, under which the new reference architecture is based, aims to help customers meet the demands of powering and cooling AI workloads and other high-performance computing requirements. Simulation and deployment path One of the key aspects of Vertiv's solution is the emphasis on digital simulation to streamline deployment. Leveraging NVIDIA Omniverse technologies, the architecture bridges physical and digital environments, enabling real-time collaboration and allowing data centre teams to test and optimise their designs before construction. The reference architecture for the NVIDIA GB300 NVL72 has several highlighted benefits: it allows simulation to deployment in a unified workflow; it is built to support the increasing power and cooling needs of large-scale AI operations; and it promises accelerated performance, scale, and speed, claiming to deliver 1.5 times more AI performance, up to 50% faster on-site builds, and operation in 30% less physical space compared to traditional data centre builds. The system is also liquid cooling-ready and adaptable to air- and hybrid-cooled configurations, enabling up to a 70% improvement in annual energy efficiency by operating at higher water temperatures. Vertiv's global reach, with over 4,000 field service engineers, underpins its capability to support large-scale, international rollouts of the reference architecture for GB300 NVL72. Industry collaboration Vertiv's announcement reflects the ongoing collaboration between the companies as they seek to equip data centres to meet the evolving requirements of AI infrastructure. Dion Harris, Senior Director of HPC and AI Infrastructure at NVIDIA, provided additional detail: "By combining NVIDIA's advanced AI platforms with Vertiv's expertise in power and cooling infrastructure, we're enabling customers to deploy next-generation data centres that are more efficient, scalable, and ready for the most demanding AI workloads. Together, we're helping organisations unlock new levels of performance and sustainability as they build the future of AI." As AI-generated workloads continue to accelerate on a global scale, data centre providers and operators are seeking new infrastructure strategies to meet demand efficiently and with a view to sustainability. Vertiv's latest reference architecture, together with its SimReady assets, is positioned to enable deployment-ready designs that anticipate future industry requirements. The company continues to develop energy-efficient solutions for cooling and power delivery in response to the escalating computing needs of next-generation AI applications, focusing on digital optimisation and global serviceability across data centre deployments.
Mint
8 hours ago
- Science
- Mint
Nvidia ‘Climate in a Bottle' opens a view into Earth's future. What will we do with it?
Nvidia has unveiled a new generative foundation model that it says enables simulations of Earth's global climate with an unprecedented level of resolution. As is so often the case with powerful new technology, however, the question is what else humans will do with it. The company expects that climate researchers will build on top of its new AI-powered model to make climate predictions that focus on five-kilometer areas. Previous leading-edge global climate models typically don't drill below 25 to 100 kilometers. Researchers using the new model may be able to predict conditions decades into the future with a new level of precision, providing information that could help efforts to mitigate climate change or its effects. A 5-kilometer resolution may help capture vertical movements of air in the lower atmosphere that can lead to certain kinds of thunderstorms, for example, and that might be missed with other models. And to the extent that high-resolution near-term forecasts are more accurate, the accuracy of longer-term climate forecasts will improve in turn, because the accuracy of such predictions compounds over time. The model, branded by Nvidia as cBottle for 'Climate in a Bottle," compresses the scale of Earth observation data 3,000 times and transforms it into ultra-high-resolution, queryable and interactive climate simulations, according to Dion Harris, senior director of high-performance computing and AI factory solutions at Nvidia. It was trained on high-resolution physical climate simulations and estimates of observed atmospheric states over the past 50 years. It will take years, of course, to know just how accurate the model's long-term predictions turn out to be. Nvidia says it has run tests on historic data to confirm that cBottle would have predicted the climate that actually eventually followed. The model also has a promising pedigree as part of Nvidia's Earth-2 platform, which is used to create digital twins of the planet. Nvidia introduced it four years ago to advance weather forecasting and climate science. Scientific research institutions and policymakers, including the Alan Turing Institute of AI and the Max Planck Institute of Meteorology, are actively exploring the new model, Nvidia said Tuesday at the ISC 2025 computing conference in Hamburg. Bjorn Stevens, director of the Planck Institute, said it 'represents a transformative leap in our ability to understand, predict and adapt to the world around us." 'By harnessing Nvidia's advanced AI and accelerated computing, we're building a digital twin of the planet," Stevens added, 'marking a new era where climate science becomes accessible and actionable for all, enabling informed decisions that safeguard our collective future." It's easy to imagine other decisions based on cBottle simulations, though, that would be more parochial in nature. Will home insurance companies withdraw from additional markets now, for example, because simulations using cBottle predict growing flood or fire risks 10 years out? What happens to property values and property tax revenue in areas like those? And what might governments of the world do in response to climate forecasts on a five-kilometer scale years in the future? Predicting conditions that could lead to food or water shortages might enable officials and residents to better prepare. But great powers' jockeying over the Arctic Circle might equally intensify if they believe they know exactly where and how many new sea lanes will open. The Earth-2 platform is in various states of deployment at weather agencies from National Oceanic and Atmospheric Administration in the U.S. to G42, an Abu Dhabi-based holding company focused on AI, and the National Science and Technology Center for Disaster Reduction in Taiwan. Spire Global, a provider of data analytics in areas such as climate and global security, has used Earth-2 to help improve its weather forecasts by three orders of magnitude with regards to speed and cost over the last three or four years, according to Peter Platzer, co-founder and executive chairman. The company, which gathers data from its fleet of low-Earth-orbit satellites, built its own technology on top of Earth-2, he said. It was an early adopter of Earth-2. Tasks that once required eight hours to complete can now be executed in three minutes or less, Platzer added. 'The dramatic acceleration of processing power is the massive thing," he said. Along with time, money has been the other major constraint on more-powerful forecasts. The cost of running a high-resolution weather simulation every hour for a full year is $3 million if you do it the traditional way, on CPUs, according to Nvidia. The company said its CorrDiff generative AI model running on its GPUs can perform that task for $60,000. For Platzer, the savings mean weather predictions of 15 or 45 days went from being not useful to valuable, according to Platzer. That is 'far beyond what was previously thought possible," he said. The new models still don't provide 100% certainty. They don't state that the weather or climate will be one thing or another, but rather provide probabilities for certain outcomes. If you watched those percentage-based predictions about who would win the 2016 presidential election between Hillary Clinton and Donald Trump, you know what that means. Even a very high chance isn't the same as a sure thing. That uncertainty might give Climate in a Bottle-based model users appropriate humility and caution when considering how to react to a projection about three decades in the future. Or it might lead them to make a decision with big implications and costs, emboldened by the imprimatur of advanced AI, only to have bet on an outcome that never arrives. Write to Steven Rosenbush at
Time of India
a day ago
- Business
- Time of India
Nvidia, HPE to build new supercomputer in Germany
Nvidia and Hewlett Packard Enterprise said on Tuesday they are partnering with the Leibniz Supercomputing Centre to build a new supercomputer using Nvidia's next-generation chips. The Blue Lion supercomputer , as the project is called, will become available to scientists in early 2027, using Nvidia's "Vera Rubin" chips. The announcement, made at a supercomputing conference in Hamburg, Germany, follows Nvidia's announcement that the Lawrence Berkeley National Lab in the United States also plans to build a system using the chips next year. Separately, Nvidia also said that Jupiter, another supercomputer using its chips at German national research institute Forschungszentrum Julich, has officially become Europe's fastest system. The deals represent European institutions aiming to stay competitive against the U.S. in supercomputers used for scientific fields from biotechnology to climate research. Long before it became an artificial intelligence powerhouse, Nvidia set out to persuade scientists to use its chips to speed up complex computer problems, such as modeling climate change. Those problems required many precise calculations that could take months at a time. Nvidia is now working to persuade scientists to use artificial intelligence. Those AI systems can take the results of a few precise calculations and use them to make predictions that, while not as accurate as the fully calculated results, can still be useful while taking far less time. Nvidia on Tuesday unveiled what it calls its "Climate in a Bottle" AI model. In a press briefing, Dion Harris, head of data center product marketing at Nvidia, said scientists will be able to input a few initial conditions such as sea surface temperatures and generate a forecast for 10 to 30 years in the future and see what the weather may be like at any kilometer or so of the earth's surface. "Researchers will use combined approach of classic physics and AI to resolve turbulent atmospheric flows," Harris said. "This technique will allow them to analyze thousands and thousands more scenarios in greater detail than ever before."
The Star
2 days ago
- Business
- The Star
Nvidia, HPE to build new supercomputer in Germany
FILE PHOTO: A smartphone with a displayed Nvidia logo is placed on a computer motherboard in this illustration created on March 6, 2023. REUTERS/Dado Ruvic/Illustration/File Photo SAN FRANCISCO (Reuters) -Nvidia and Hewlett Packard Enterprise said on Tuesday they are partnering with the Leibniz Supercomputing Centre to build a new supercomputer using Nvidia's next-generation chips. The Blue Lion supercomputer, as the project is called, will become available to scientists in early 2027, using Nvidia's "Vera Rubin" chips. The announcement, made at a supercomputing conference in Hamburg, Germany, follows Nvidia's announcement that the Lawrence Berkeley National Lab in the United States also plans to build a system using the chips next year. Separately, Nvidia also said that Jupiter, another supercomputer using its chips at German national research institute Forschungszentrum Julich, has officially become Europe's fastest system. The deals represent European institutions aiming to stay competitive against the U.S. in supercomputers used for scientific fields from biotechnology to climate research. Long before it became an artificial intelligence powerhouse, Nvidia set out to persuade scientists to use its chips to speed up complex computer problems, such as modeling climate change. Those problems required many precise calculations that could take months ata time. Nvidia is now working to persuade scientists to use artificial intelligence. Those AI systems can take the results of a few precise calculations and use them to make predictions that, while not as accurate as the fully calculated results, can still be useful while taking far less time. Nvidia on Tuesday unveiled what it calls its "Climate in a Bottle" AI model. In a press briefing, Dion Harris, head of data center product marketing at Nvidia, said scientists will be able to input a few initial conditions such as sea surface temperatures and generate a forecast for 10 to 30 years in the future and see what the weather may be like at any kilometer or so of the earth's surface. "Researchers will use combined approach of classic physics and AIto resolve turbulent atmospheric flows," Harris said. "This technique will allow them to analyze thousands and thousands more scenarios in greater detail than ever before." (Reporting by Stephen Nellis in San Francisco; Editing by Lincoln Feast.)
Yahoo
2 days ago
- Business
- Yahoo
Nvidia, HPE to build new supercomputer in Germany
By Stephen Nellis SAN FRANCISCO (Reuters) -Nvidia and Hewlett Packard Enterprise said on Tuesday they are partnering with the Leibniz Supercomputing Centre to build a new supercomputer using Nvidia's next-generation chips. The Blue Lion supercomputer, as the project is called, will become available to scientists in early 2027, using Nvidia's "Vera Rubin" chips. The announcement, made at a supercomputing conference in Hamburg, Germany, follows Nvidia's announcement that the Lawrence Berkeley National Lab in the United States also plans to build a system using the chips next year. Separately, Nvidia also said that Jupiter, another supercomputer using its chips at German national research institute Forschungszentrum Julich, has officially become Europe's fastest system. The deals represent European institutions aiming to stay competitive against the U.S. in supercomputers used for scientific fields from biotechnology to climate research. Long before it became an artificial intelligence powerhouse, Nvidia set out to persuade scientists to use its chips to speed up complex computer problems, such as modeling climate change. Those problems required many precise calculations that could take months at a time. Nvidia is now working to persuade scientists to use artificial intelligence. Those AI systems can take the results of a few precise calculations and use them to make predictions that, while not as accurate as the fully calculated results, can still be useful while taking far less time. Nvidia on Tuesday unveiled what it calls its "Climate in a Bottle" AI model. In a press briefing, Dion Harris, head of data center product marketing at Nvidia, said scientists will be able to input a few initial conditions such as sea surface temperatures and generate a forecast for 10 to 30 years in the future and see what the weather may be like at any kilometer or so of the earth's surface. "Researchers will use combined approach of classic physics and AI to resolve turbulent atmospheric flows," Harris said. "This technique will allow them to analyze thousands and thousands more scenarios in greater detail than ever before."
