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NVIDIA Earth-2

Paid
4.4
72 20,648
Inputs: api, fileOutputs: image, video, api
Type
Saas
Founded
1993
Company
NVIDIA

About NVIDIA Earth-2

NVIDIA Earth-2 is a revolutionary AI-powered digital twin of Earth that simulates global climate and weather dynamics at a 2-kilometer resolution. Built on NVIDIA's GPU-accelerated cloud infrastructure, it harnesses physics-informed machine learning models like FourCastNet and CorrDiff to generate highly accurate, high-fidelity simulations that surpass traditional numerical weather prediction methods in speed and detail. This platform enables the rapid production of weather forecasts, climate projections, and alerts for extreme events such as hurricanes, floods, wildfires, and heatwaves.

Designed for climate scientists, meteorologists, government agencies, and industries including energy, agriculture, insurance, and disaster management, Earth-2 provides hyper-local insights that inform critical decision-making. Users can run ensemble forecasts, customize simulation parameters, and visualize results in NVIDIA Omniverse, accelerating workflows from weeks to minutes—for instance, simulating an entire year of global weather in under 60 seconds on NVIDIA DGX Cloud.

Earth-2 matters profoundly in an era of intensifying climate change, offering unprecedented computational scale to model complex Earth systems. By democratizing access to exascale simulations via SaaS, it empowers proactive strategies for resilience, risk mitigation, and sustainable development, bridging the gap between research and real-world applications.

Key Features

2 km global resolution climate and weather simulations
AI-accelerated forecasting with models like FourCastNet
Extreme event detection and real-time alerts
Cloud-based access via NVIDIA DGX Cloud
Ensemble prediction capabilities
Integration with NVIDIA Omniverse for 3D visualization
Customizable physics parameters and scenarios
Support for long-term climate projections

Pros & Cons

Pros
  • Exceptional 2 km resolution for hyper-local accuracy
  • Dramatically faster simulations (e.g., yearly forecast in minutes)
  • Scalable cloud infrastructure handles massive datasets
  • Validated high accuracy against observational data
  • Enables novel AI-driven climate research
  • Seamless integration with NVIDIA ecosystem tools
Cons
  • Paid SaaS model with enterprise-level pricing
  • Requires familiarity with NVIDIA cloud and AI workflows
  • Limited to users with access to NVIDIA infrastructure
  • Still in early preview stages with potential instability
  • High computational demands may limit small-scale use

Best For

High-precision weather forecasting for aviation and logisticsClimate risk assessment for insurance and financeRenewable energy site optimization for wind and solarAgricultural planning and crop yield predictionDisaster preparedness for floods, hurricanes, and wildfiresUrban infrastructure resilience modeling

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FAQ

What resolution does NVIDIA Earth-2 provide?
It offers global simulations at 2 km resolution, enabling detailed local predictions.
How fast are the simulations?
AI acceleration allows simulating a year of global weather in under 60 seconds on NVIDIA DGX Cloud.
Who is Earth-2 intended for?
Climate researchers, governments, energy firms, agriculture, and disaster management organizations.
Is it available for public use?
It is a paid SaaS platform; access is available through NVIDIA's enterprise programs.
What types of outputs does it produce?
High-resolution weather maps, forecasts, extreme event alerts, and 3D visualizations.
Does it support custom simulations?
Yes, users can adjust parameters for specific scenarios like regional climate projections.