Climate Tech Companies Adopt NVIDIA Earth-2 for High-Resolution, Energy-Efficient, More Accurate Weather Predictions and Disaster Preparedness
NVIDIA has unveiled the NVIDIA Omniverse Blueprint for Earth-2 weather analytics, a groundbreaking initiative to enhance weather forecasting accuracy and disaster preparedness. The blueprint provides reference workflows including GPU acceleration libraries, physics-AI framework, and development tools to accelerate weather forecast model deployment.
Key features include NVIDIA NIM™ microservices for Earth-2, such as CorrDiff for downscaling and FourCastNet for predicting global atmospheric dynamics. The technology demonstrates remarkable efficiency, being 500x faster and 10,000x more energy-efficient than CPUs in delivering high-resolution weather predictions.
Several climate tech companies have already adopted the blueprint, including G42, JBA Risk Management, and Spire. The solution operates on NVIDIA DGX Cloud platform, powered by DGX GB200, HGX B200, and OVX supercomputers, enabling exceptional speed and scale in global climate simulations.
NVIDIA ha svelato il NVIDIA Omniverse Blueprint for Earth-2 weather analytics, un'iniziativa innovativa per migliorare l'accuratezza delle previsioni meteorologiche e la preparazione ai disastri. Il blueprint fornisce flussi di lavoro di riferimento che includono librerie di accelerazione GPU, un framework fisico-AI e strumenti di sviluppo per accelerare il dispiegamento dei modelli di previsione meteorologica.
Le caratteristiche principali includono i NVIDIA NIM™ microservizi per Earth-2, come CorrDiff per il downscaling e FourCastNet per prevedere le dinamiche atmosferiche globali. La tecnologia dimostra un'efficienza straordinaria, essendo 500 volte più veloce e 10.000 volte più energeticamente efficiente rispetto alle CPU nel fornire previsioni meteorologiche ad alta risoluzione.
Numerose aziende di tecnologia climatica hanno già adottato il blueprint, tra cui G42, JBA Risk Management e Spire. La soluzione opera sulla piattaforma NVIDIA DGX Cloud, alimentata dai supercomputer DGX GB200, HGX B200 e OVX, che consentono una velocità e una scala eccezionali nelle simulazioni climatiche globali.
NVIDIA ha presentado el NVIDIA Omniverse Blueprint for Earth-2 weather analytics, una iniciativa revolucionaria para mejorar la precisión de las previsiones meteorológicas y la preparación ante desastres. El plano proporciona flujos de trabajo de referencia que incluyen bibliotecas de aceleración de GPU, un marco de IA física y herramientas de desarrollo para acelerar el despliegue de modelos de previsión meteorológica.
Las características clave incluyen los NVIDIA NIM™ microservicios para Earth-2, como CorrDiff para el downscaling y FourCastNet para predecir la dinámica atmosférica global. La tecnología demuestra una eficiencia notable, siendo 500 veces más rápida y 10,000 veces más eficiente en energía que las CPU en la entrega de predicciones meteorológicas de alta resolución.
Varias empresas de tecnología climática ya han adoptado el plano, incluyendo G42, JBA Risk Management y Spire. La solución opera en la plataforma NVIDIA DGX Cloud, impulsada por los superordenadores DGX GB200, HGX B200 y OVX, lo que permite una velocidad y escala excepcionales en las simulaciones climáticas globales.
NVIDIA는 NVIDIA Omniverse Blueprint for Earth-2 weather analytics를 공개했습니다. 이는 기상 예측의 정확성과 재해 대비를 향상시키기 위한 혁신적인 이니셔티브입니다. 이 청사진은 GPU 가속 라이브러리, 물리-AI 프레임워크 및 기상 예측 모델 배포를 가속화하기 위한 개발 도구를 포함한 참조 작업 흐름을 제공합니다.
주요 기능으로는 Earth-2를 위한 NVIDIA NIM™ 마이크로서비스가 포함되어 있으며, CorrDiff는 다운스케일링을, FourCastNet은 글로벌 대기 역학을 예측하는 데 사용됩니다. 이 기술은 고해상도 기상 예측을 제공하는 데 있어 CPU보다 500배 빠르고 10,000배 더 에너지 효율적이라는 놀라운 효율성을 보여줍니다.
여러 기후 기술 회사들이 이미 G42, JBA Risk Management 및 Spire와 같은 청사진을 채택했습니다. 이 솔루션은 DGX GB200, HGX B200 및 OVX 슈퍼컴퓨터로 구동되는 NVIDIA DGX Cloud 플랫폼에서 작동하여 글로벌 기후 시뮬레이션에서 뛰어난 속도와 규모를 가능하게 합니다.
NVIDIA a dévoilé le NVIDIA Omniverse Blueprint for Earth-2 weather analytics, une initiative révolutionnaire visant à améliorer la précision des prévisions météorologiques et la préparation aux catastrophes. Ce plan fournit des flux de travail de référence, y compris des bibliothèques d'accélération GPU, un cadre physique-AI et des outils de développement pour accélérer le déploiement des modèles de prévision météorologique.
Les fonctionnalités clés incluent les NVIDIA NIM™ microservices pour Earth-2, tels que CorrDiff pour le downscaling et FourCastNet pour prédire les dynamiques atmosphériques mondiales. La technologie démontre une efficacité remarquable, étant 500 fois plus rapide et 10 000 fois plus économe en énergie que les CPU pour fournir des prévisions météorologiques haute résolution.
Plusieurs entreprises de technologie climatique ont déjà adopté le plan, notamment G42, JBA Risk Management et Spire. La solution fonctionne sur la plateforme NVIDIA DGX Cloud, propulsée par les superordinateurs DGX GB200, HGX B200 et OVX, permettant une vitesse et une échelle exceptionnelles dans les simulations climatiques mondiales.
NVIDIA hat das NVIDIA Omniverse Blueprint for Earth-2 weather analytics vorgestellt, eine bahnbrechende Initiative zur Verbesserung der Genauigkeit von Wettervorhersagen und der Katastrophenvorbereitung. Der Plan bietet Referenzarbeitsabläufe, einschließlich GPU-Beschleunigungsbibliotheken, eines physikalisch-AI-Frameworks und Entwicklungstools zur Beschleunigung der Bereitstellung von Wettervorhersagemodellen.
Zu den wichtigsten Funktionen gehören die NVIDIA NIM™ Mikrodienste für Earth-2, wie CorrDiff für das Herunterskalieren und FourCastNet zur Vorhersage globaler atmosphärischer Dynamiken. Die Technologie zeigt eine bemerkenswerte Effizienz und ist 500-mal schneller und 10.000-mal energieeffizienter als CPUs bei der Bereitstellung hochauflösender Wettervorhersagen.
Mehrere Klimatechnologieunternehmen haben den Plan bereits übernommen, darunter G42, JBA Risk Management und Spire. Die Lösung läuft auf der NVIDIA DGX Cloud-Plattform, die von den Supercomputern DGX GB200, HGX B200 und OVX betrieben wird und außergewöhnliche Geschwindigkeit und Skalierbarkeit bei globalen Klimasimulationen ermöglicht.
- Technology demonstrates superior performance: 500x faster and 10,000x more energy-efficient than traditional CPU systems
- Targeting $20 billion climate tech industry market opportunity
- Strong early adoption by multiple industry leaders and tech companies
- Solution addresses significant market need ($2 trillion impact from climate events)
- None.
Insights
NVIDIA's launch of the Omniverse Blueprint for Earth-2 weather analytics represents a strategic expansion into the $20 billion climate tech industry, addressing a market shaped by weather events that have caused $2 trillion in global economic impact over the last decade.
The technology offers compelling performance advantages, with NVIDIA claiming its CorrDiff microservice is 500x faster and 10,000x more energy-efficient than CPU-based alternatives for high-resolution weather predictions. These efficiency gains translate directly to customer value through faster insights and lower computing costs.
Initial customer traction appears promising with adoption by climate tech firms G42, JBA Risk Management, and Spire, along with government agencies like Taiwan's Central Weather Administration. The technology partnership with Esri, a dominant player in geospatial software, further validates the market potential.
This initiative leverages NVIDIA's existing strengths in AI computation and visualization while opening an adjacent vertical market. The solution architecture intelligently integrates NVIDIA's full stack - from GPU acceleration to the Omniverse platform, NIM microservices, and DGX cloud infrastructure - creating significant competitive moats and ecosystem lock-in.
While the immediate revenue contribution is likely modest relative to NVIDIA's $2.9 trillion market cap, this move extends the company's AI platform strategy into scientific computing applications with high computational requirements, reinforcing NVIDIA's positioning for sustained long-term growth beyond consumer and general enterprise markets.
G42, JBA Risk Management, Spire Among First to Adopt NVIDIA Omniverse Blueprint for Earth-2 Weather Analytics
SAN JOSE, Calif., March 18, 2025 (GLOBE NEWSWIRE) -- GTC -- NVIDIA today announced the NVIDIA Omniverse Blueprint for Earth-2 weather analytics to accelerate the development of more accurate weather forecasting solutions.
Climate-related weather events have had a
The NVIDIA Omniverse Blueprint for Earth-2 weather analytics offers reference workflows — including NVIDIA GPU acceleration libraries, a physics-AI framework, development tools and microservices — to help enterprises go from prototyping to production with weather forecast models.
Easy-to-deploy NVIDIA NIM™ microservices for NVIDIA Earth-2 are also part of the blueprint, including CorrDiff for downscaling and FourCastNet for predicting global atmospheric dynamics of various weather and climate variables. These are already being used by weather technology companies, researchers and government agencies to derive insights and mitigate risk from extreme weather events.
“We’re seeing more extreme weather events and natural disasters than ever, threatening lives and property,” said Jensen Huang, founder and CEO of NVIDIA. “The NVIDIA Omniverse Blueprint for Earth-2 will help industries around the world prepare for — and mitigate — climate change and weather-related disasters.”
Ecosystem Support
Industry-leading climate tech companies including AI company G42, JBA Risk Management, Spire and others are using the blueprint to develop unique AI-augmented solutions.
When combined with proprietary enterprise data in the
G42 is integrating various components of the Omniverse Blueprint with its own AI-driven forecasting models for Earth-2 to provide the UAE’s National Center of Meteorology with AI technologies for advanced weather forecasting and disaster management.
“G42 is advancing AI-powered forecasting to help governments and enterprises strengthen resilience against extreme weather in a rapidly changing world,” said Andrew Jackson, CEO of Inception, a G42 company. “Using high-resolution weather and climate modeling, we are transforming how organizations anticipate and respond to severe weather conditions with precision and speed. Building on NVIDIA’s CorrDiff model, we have developed a custom AI-driven system that downscales coarse weather data into hyper-local forecasts, enabling faster predictions at an unprecedented scale. Combined with the Earth-2 Blueprint, this technology equips decision-makers with actionable intelligence to protect communities, safeguard infrastructure and plan for a more resilient future.”
Spire Global used AI components from the blueprint as reference to develop new AI products that integrate its proprietary satellite data and deliver medium-range and sub-seasonal forecasts out to 45 days. Powered by NVIDIA GPUs and the Omniverse Blueprint for Earth-2, Spire’s models run 1,000x faster than traditional physics-based models, enabling large ensemble forecasts that capture the full range of possible weather outcomes.
In addition to the Central Weather Administration of Taiwan and The Weather Company, other companies adopting or exploring Earth-2 include 3D mapping company Ecopia, spatial analytics company ESRI, green energy company GCL Power, flood risk management company JBA Risk Management, aerospace company OroraTech, and Tomorrow.io, a leading resilience platform powered by proprietary space data and weather intelligence.
Groundbreaking Generative AI for Climate Tech
The Earth-2 platform offers tools, microservices and an array of state-of-the-art AI weather models for visualizing and simulating the globe.
CorrDiff, part of the Omniverse Blueprint, is available as an NVIDIA NIM microservice. Compared with CPUs, it can be 500x faster and 10,000x more energy-efficient in delivering high-resolution numerical weather predictions.
The Omniverse Blueprint for Earth-2 allows independent software vendors to develop and deploy AI-augmented solutions and use observational data to make their solutions faster and more accurate.
Esri, a leader in geospatial technology, is collaborating with NVIDIA to connect its ArcGIS platform to Earth-2 through the blueprint. OroraTech is exploring connecting its data platform to the Omniverse Blueprint for Earth-2.
Tomorrow.io contributed its near-real-time proprietary satellite data to help create an NVIDIA digital twin of Earth for next-generation AI model training, inference and reinforcement.
A key component of the new blueprint is NVIDIA Omniverse™, a platform for developing OpenUSD-based 3D workflows and applications. The Omniverse Blueprint for Earth-2 showcases how developers can use Omniverse software development kits and microservices to build NVIDIA RTX™-powered visualization pipelines for rendering geospatial and weather data.
NVIDIA DGX Cloud-Powered Compute
The Omniverse Blueprint for Earth-2 taps into the NVIDIA DGX™ Cloud platform to demonstrate full-stack acceleration for AI-augmented weather forecasting. Running on NVIDIA DGX GB200, NVIDIA HGX™ B200 and NVIDIA OVX™ supercomputers, the blueprint provides a path to simulating and visualizing the global climate simulations at exceptional speed and scale.
Learn more by watching the NVIDIA GTC keynote and register for sessions from NVIDIA and industry leaders at the show, which runs through March 21.
About NVIDIA
NVIDIA (NASDAQ: NVDA) is the world leader in accelerated computing.
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, availability, and performance of NVIDIA’s products, services, and technologies; third parties adopting NVIDIA’s products and technologies and the benefits and impact thereof; and the NVIDIA Omniverse Blueprint for Earth-2 helping industries around the world prepare for — and mitigate — climate change and weather-related disasters 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.
Many of the products and features described herein remain in various stages and will be offered on a when-and-if-available basis. The statements above are not intended to be, and should not be interpreted as a commitment, promise, or legal obligation, and the development, release, and timing of any features or functionalities described for our products is subject to change and remains at the sole discretion of NVIDIA. NVIDIA will have no liability for failure to deliver or delay in the delivery of any of the products, features or functions set forth herein.
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FAQ
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