NVIDIA Earth-2

NVIDIA Earth-2 is a comprehensive family of open models, libraries and frameworks that democratize global access to professional-grade weather and climate AI, providing a fully open software stack that accelerates every stage of forecasting from data processing to high-resolution visualization. The model family includes Earth-2 Medium Range (predictions for over 70 weather variables up to 15 days ahead), Earth-2 Nowcasting (zero- to six-hour hazardous weather forecasts), Earth-2 Global Data Assimilation, Earth-2 CorrDiff (generative AI downscaling), and Earth-2 FourCastNet 3, letting researchers, startups and government agencies run, fine-tune and deploy forecasting systems on their own infrastructure.

Official product page

3published use cases

2industries

2countries on record

Predictive Analytics

top AI capability

Evidence mix: High 3 · Medium 0 · Low 0 — bands are computed from each record's evidence signals.

Industry

Country

3 use cases

TransportationComputer VisionPredictive Analytics

Amphitrite Rides AI Wave to Boost Maritime Shipping, Ocean Cleanup With Real-Time Weather Prediction and Simulation

France-based startup Amphitrite fuses satellite data and AI to simulate and predict oceanic currents and weather, using the NVIDIA AI and Earth-2 platforms. Its fine-tuned, three-kilometer-scale AI models (dubbed ORCAst), trained on NVIDIA GPUs, analyze ocean current, wave, and wind data to help ships optimize routes and reduce fuel consumption and carbon emissions. Amphitrite trains and runs its AI models using NVIDIA H100 GPUs on premises and in the cloud, building on the FourCastNet model from Earth-2. Fusing AI and satellite imagery, Amphitrite can improve the accuracy of global ocean current analyses by up to 2x compared with traditional methods. A case study along the Mediterranean Sea found the NVIDIA-powered Amphitrite fine-scale routing solution helped reduce one shipping line's carbon emissions by 10%. Shipping and oceanographic companies using Amphitrite's solutions include CMA-CGM, Genavir, Louis Dreyfus Armateurs, and Orange Marine; the company also works with an NGO to track and remove plastic pollution in the Pacific Ocean.

Amphitrite· FranceNVIDIA Earth-2 · NVIDIA H100 GPUs · FourCastNet

Government & Public SectorAI Model Development & MLOpsPredictive Analytics

MITRE's Federal AI Sandbox accelerates government AI research with NVIDIA DGX SuperPOD

Nonprofit MITRE built the Federal AI Sandbox, powered by NVIDIA DGX SuperPOD, to give federal sponsors an affordable, centralized space to test and deploy AI and machine learning across domains such as weather forecasting, cybersecurity, and public benefits administration. The DGX SuperPOD delivers a 300-fold performance increase over MITRE's previous AI computing capabilities and supports thousands of researchers; MITRE is using it with NVIDIA Omniverse and NVIDIA Earth-2 to develop 1-kilometer precision weather forecasts with NOAA and the National Weather Service, plus a foundational model for cybersecurity threat analysis across 190 nations.

MITRENVIDIA DGX SuperPOD · NVIDIA Omniverse · NVIDIA Earth-2 +1

Government & Public SectorPredictive AnalyticsDigital Twins & Simulation

Israel's Meteorological Service Predicts the Weather Using NVIDIA Earth-2

The Israel Meteorological Service integrated an AI weather model called F3, powered by NVIDIA Earth-2 and NVIDIA PhysicsNeMo (including the CorrDiff neural network), into its forecasting system to achieve hyperlocal 2.5-kilometer resolution precipitation forecasts. F3 achieved 90 percent lower computational costs compared to running a classic non-AI numerical weather prediction model on a CPU cluster, delivering forecasts in minutes rather than hours, and saved 20-30 percent of the Tel Aviv-Yafo Municipality's preparedness budget for things like urban flood safety. CorrDiff was trained to emulate IMS's regional high-resolution ICON model using low-resolution ECMWF IFS input, enabling four high-resolution forecasts per day. Partners including the Israeli Police, the National Fire and Rescue Authority, the Ministry of Transportation and the National Road Company have adopted the forecasts, and IMS used F3 to issue a high-resolution flood map during a January storm that dropped 150 millimeters of rain in six hours.

Israel Meteorological Service (IMS)· IsraelNVIDIA Earth-2 · NVIDIA PhysicsNeMo · CorrDiff