January 26, 2026
Finance

Nvidia Unveils Open AI-Driven Weather Forecasting Tools to Accelerate Prediction Capabilities

New Earth-2 Suite Offers Faster, More Accessible Weather Models Leveraging GPU Acceleration and Generative AI

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Summary

Nvidia has launched Earth-2, a comprehensive set of open-source AI-powered weather forecasting models and frameworks designed to deliver rapid and cost-efficient predictions without confinement to traditional supercomputers. The suite, presented at the American Meteorological Society's Annual Meeting, includes capabilities for medium-range forecasting up to 15 days, nowcasting severe weather events, and accelerated data assimilation processes. Adoption among meteorological agencies and industry underscores the growing role of AI in transforming weather prediction workflows.

Key Points

Nvidia launched Earth-2, an open-source AI-powered weather forecasting software stack offering accelerated prediction models.
Earth-2 Medium Range predicts up to 15 days ahead on 70+ variables using the Atlas architecture.
Earth-2 Nowcasting uses generative AI with satellite and radar data for minute-level zero-to-six-hour storm forecasts.
Earth-2 Global Data Assimilation leverages GPU acceleration to produce initial atmospheric conditions in seconds rather than hours on supercomputers, enhancing forecast accuracy when paired with Medium Range forecasts.

In a significant development for meteorological science and AI applications, Nvidia Corporation (NASDAQ: NVDA) revealed an innovative open-source software stack aimed at revolutionizing weather forecasting processes through the power of artificial intelligence and GPU acceleration. This new offering, named Nvidia Earth-2, includes a family of models, libraries, and architectural frameworks designed to democratize access to advanced forecasting tools by reducing dependence on costly and time-intensive supercomputing resources.

Introduced at the American Meteorological Society's Annual Meeting, Earth-2 aims to streamline various stages of weather prediction, from initial observation processing to medium- and short-range forecasting, supporting both global and localized storm predictions. Nvidia asserts that this suite constitutes the world's first fully open and accelerated software stack specifically developed for AI-driven weather forecasting.

Capabilities of Earth-2 Products

The Earth-2 lineup features several key components, each tailored to distinct forecasting horizons and processes. First, Earth-2 Medium Range employs the Atlas architecture to deliver predictions extending up to 15 days into the future. This module covers predictions across more than 70 meteorological variables, providing a comprehensive temporal and spatial scope for extended weather outlooks.

Complementing this, Earth-2 Nowcasting utilizes generative AI through Nvidia's StormScope technology. By leveraging satellite and radar data, this tool offers detailed storm forecasts spanning zero to six hours, executing these forecasts within a matter of minutes. Such rapid nowcasting capabilities are particularly valuable for imminent severe weather event prediction and response.

Furthermore, Earth-2 Global Data Assimilation integrates HealDA technology to efficiently generate atmospheric "initial conditions" crucial for weather modeling. Unlike traditional approaches requiring hours on supercomputers, this process now can be completed in seconds using GPU acceleration. When combined with Earth-2 Medium Range, this integration produces highly skillful forecast outcomes derived entirely from an AI-driven pipeline.

Industry Adoption and Availability

Nvidia reports that multiple organizations, ranging from governmental meteorological agencies to energy and finance companies, are already deploying or piloting the Earth-2 tools. Among these participants are Brightband, the Israel Meteorological Service, Taiwan's Central Weather Administration, The Weather Company, and the U.S. National Weather Service, signaling broad interest and applicability in public sector environments.

Industry stakeholders in the energy and financial sectors, including TotalEnergies, Eni, GCL, Southwest Power Pool (in collaboration with Hitachi), AXA, and S&P Global Energy, are also engaging with the Earth-2 suite, highlighting the technology's reach beyond traditional meteorological institutions.

Currently, Earth-2 Medium Range and Nowcasting components are accessible through Nvidia Earth2Studio and hosted on platforms such as Hugging Face and GitHub, providing developers and practitioners with open access to these advanced resources. Nvidia noted that the Earth-2 Global Data Assimilation tool is scheduled for release later this year, expanding the suite’s capabilities further.

Competitive Landscape

Nvidia's push into AI-powered weather forecasting complements broader industry trends where companies are incorporating artificial intelligence into atmospheric predictions. For instance, Palantir Technologies Inc. (NASDAQ: PLTR) advanced its operational decision-making software with AI weather forecasting features following a collaboration with Tomorrow.io.

This partnership enables the integration of real-time atmospheric data and predictive weather analytics directly within Palantir’s platforms, targeting enhanced operational readiness across sectors such as defense, aviation, government, and infrastructure. Nvidia and Palantir’s initiatives underscore an intensified focus on embedding AI into forecasting tools to improve speed, accuracy, and accessibility.

Market Reaction

On the Monday market session coinciding with the announcement, shares of Nvidia observed a slight decline, trading down 0.43% at $186.86. This movement reflects typical market dynamics influenced by complex factors surrounding innovation, competition, and investor expectations.

Conclusion

Nvidia’s introduction of the Earth-2 family presents a strategic advancement in applying AI to transform the weather forecasting landscape. By making high-performance AI models and data assimilation processes openly accessible and accelerated via GPUs, the company is promoting broader adoption across public and private organizations. This initiative aligns with increasing demand for rapid, reliable, and scalable meteorological predictions that address both traditional forecasting challenges and emerging operational needs in a range of industries.

Risks
  • Adoption depends on integration by meteorological services and industry organizations which may vary in pace and scale.
  • Competitive landscape includes other AI-weather forecasting entrants such as Palantir's partnership with Tomorrow.io, which could impact market share and innovation dynamics.
  • Availability of certain tools like Earth-2 Global Data Assimilation is pending, with release scheduled for later this year, implying a staged rollout and evolving capabilities.
  • Market response to Nvidia’s AI weather forecasting initiative is uncertain as reflected in minor stock price fluctuations during announcement timing.
Disclosure
Education only / not financial advice
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