Nvidia has this week unveiled new capabilities for Earth-2, a family of AI models that the company described as the world’s first fully open, accelerated weather AI software stack.
The platform is a collection of models, libraries and frameworks that Nvidia said make weather and climate AI more accessible than before, with potential users spanning scientists, startups and developers to enterprises and governments.
With access to these pretrained models and libraries, Nvidia said users can accelerate every step of forecasting, from processing initial observation data to generating two-week global forecasts.
“Historically, weather forecasting has relied on powerful supercomputers running physics-based models,” Nvidia wrote in a blog post about the launch. “AI-powered weather forecasting saves significant computational time and costs, allowing more nations, weather enterprises and businesses to run application-specific forecasting systems.”
Specifically, Nvidia has announced three new models’ availability in the toolset; Earth-2 Medium Range, Earth-2 Nowcasting and Earth-2 Global Data Assimilation.
Earth-2 Medium Range is a 15-day, high-accuracy forecasting model built on Nvidia’s new Atlas architecture. Designed for medium-range prediction, the model covers more than 70 weather variables, including temperature, pressure, wind and humidity.
Earth-2 Nowcasting uses a generative AI model called StormScope to deliver kilometer-scale forecasts for local storms and hazardous weather.
Earth-2 Global Data Assimilation, powered by the HealDA model, generates the initial atmospheric conditions required for weather prediction. Using GPUs rather than traditional supercomputers, the system can produce global snapshots of current conditions in seconds, a shift Nvidia says improves both forecasting speed and accuracy when paired with Earth-2 models.
These join Nvidia’s existing Earth-2 open weather models CorrDiff and FourCastNet3, designed for added reporting resolution and forecasting accuracy, respectively.
Early customers include AI weather startup Brightband, along with national and commercial forecasters such as the Israel Meteorological Service, Taiwan’s Central Weather Administration, The Weather Company and the U.S. National Weather Service.
TotalEnergies, Eni, GCL and Southwest Powerpool in collaboration with Hitachi, as well as financial risk and intelligence firms AXA and S&P Global Energy are also early use cases.
“Nvidia Earth-2 represents a major step forward in how advanced weather intelligence can be operationalized at scale,” said Emmanuel Le Borgne, climate and weather forecast product manager at TotalEnergies SE, in the blog post. “Models like Earth-2 Nowcasting are groundbreaking for our business because they improve short-term risk awareness and decision-making in energy systems where minutes and local impacts matter.”
Nvidia said the full model family will be licensed for commercial and non-commercial use and will be available on GitHub and Hugging Face upon release.
