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NVIDIA Announces Earth Climate Digital Twin

SAN JOSE, Calif., March 18, 2024 (GLOBE NEWSWIRE) — GTC To accelerate efforts to combat the $140 billion in economic losses due to extreme weather brought on by climate change, NVIDIA today announced its Earth-2 climate digital twin cloud platform for simulating and visualizing weather and climate at unprecedented scale.

Part of the NVIDIA CUDA-X™ microservices, announced separately today, Earth-2’s new cloud APIs on NVIDIA DGX Cloud™ allow virtually any user to create AI-powered emulations to speed delivery of interactive, high-resolution simulations ranging from the global atmosphere and local cloud cover to typhoons and turbulence.

When combined with proprietary data owned by companies in the $20 billion climate tech industry, the Earth-2 application programming interfaces help users deliver warnings and updated forecasts in seconds compared to the minutes or hours in traditional CPU-driven modeling.

“Climate disasters are now normal — historic droughts, catastrophic hurricanes and generational floods appear in the news with alarming frequency,” said Jensen Huang, founder and CEO of NVIDIA. “Earth-2 cloud APIs strive to help us better prepare for — and inspire us to act to moderate — extreme weather.”

Groundbreaking Generative AI for Climate Tech
Earth-2’s APIs offer AI models and employ a new NVIDIA generative AI model called CorrDiff, using state-of-the-art diffusion modeling, that generates 12.5x higher resolution images than current numerical models 1,000x faster and 3,000x more energy efficiently. It corrects inaccuracies of coarse-resolution forecasts and synthesizes metrics critical to decision-making. CorrDiff is a first-of-its-kind generative AI model to deliver super-resolution, synthesize new metrics of interest to stakeholders, and learn the physics of fine-scale local weather from high-resolution datasets.

Taiwan’s Central Weather Administration plans to use these diffusion models to forecast more precise locations of typhoon landfall. When a typhoon warning is launched, the priority is to minimize casualties by carrying out early evacuations based on quality information generated by relevant agencies, including Taiwan’s National Science and Technology Center for Disaster Reduction (NCDR). In the last decade, the death toll due to typhoons has fallen.

“Taiwan is a critical component of the global supply chain, and flooding risk analysis and evacuation preparedness are core to our mandate,” said Chia-Ping Cheng, administrator of CWA.

With more than 136 typhoons striking the island since 2000, using Earth-2 to mitigate these impacts is key to improving the quality and resolution of disaster informatics, NCDR said.

Another key component of Earth-2 cloud APIs is NVIDIA Omniverse™, a computing platform that enables individuals and teams to develop Universal Scene Description (OpenUSD)-based 3D workflows and applications.

The Weather Company, a global leader in weather data forecasting and insights, plans to integrate its meteorological data and Weatherverse tools with Omniverse, enabling customers building digital twins to better understand and visualize the impact of actual weather conditions for the first time. The Weather Company also plans to explore the use of NVIDIA score-based generative AI for its Weatherverse services, Weather Engine solution for enterprise-level weather intelligence and new high-resolution weather modeling products.

“To help effectively address current and future weather- and climate-related challenges, it’s critical now more than ever to incorporate reliable, globally scaled real weather data and insights into digital twin environments to better analyze, plan and simulate the impacts of weather,” said Sheri Bachstein, CEO of The Weather Company. “We’ve worked with NVIDIA for years on GPU acceleration of GRAF, our proprietary weather modeling systems, and we plan to adopt Earth-2 APIs to create higher resolution, energy-efficient simulations at a lower cost.”

Other early adopters of Earth-2 APIs include weather analytics platform companies like Spire and Meteomatics, which can build on their proprietary data sources and data assimilation to produce accurate forecasts, as well as startups Tomorrow.io, north.io and ClimaSens, which are exploring new solutions for climate tech applications.

NVIDIA DGX Cloud-Powered Compute
Earth-2 APIs use DGX Cloud to provide full-stack acceleration for climate and weather solutions. This includes optimal AI pipelines for models such as FourCastNet, GraphCast and Deep Learning Weather Prediction. It also includes GPU acceleration of numerical weather prediction models like ICON on the latest NVIDIA Grace Hopper™ systems. Running on NVIDIA DGX GH200, HGX™ H100 and OVX™ supercomputers, Earth-2 may provide a path to simulate and visualize the global climate simulations at unprecedented speed and scale.

About NVIDIA
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics and ignited the era of modern AI. NVIDIA is now a full-stack computing infrastructure company with data-center-scale offerings that are reshaping industry. More information at https://nvidianews.nvidia.com/.

For further information, contact:
Cliff Edwards
Enterprise Communications
NVIDIA Corporation
+1-415-699-2755
cliffe@nvidia.com

Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, performance, features, and availability of NVIDIA’s products and technologies, including Earth-2 climate digital twin cloud platform, NVIDIA CUDA-X microservices, NVIDIA DGX Cloud, NVIDIA generative AI models such as CorrDiff, NVIDIA Omniverse, and NVIDIA DGX GH200, HGX H100 and OVX supercomputers; Earth-2 cloud APIs striving to help us better prepare for — and inspire us to act to moderate — extreme weather; third parties’ use and adoption of our products and technologies, and the benefits and impacts thereof; and our collaborations with third parties, and the benefits and impacts thereof are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

© 2024 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, NVIDIA CUDA-X, NVIDIA DGX Cloud, NVIDIA HGX, NVIDIA Omniverse, NVIDIA OVX and NVIDIA Grace Hopper are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.

A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/7f54c097-aedc-43a2-a1fa-3a5c02eb8c5a

 

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