What is NVIDIA Earth-2?

NVIDIA Earth-2 represents a cutting-edge platform that transforms weather and climate forecasting through high-performance, AI-driven technology, integrating various open-source models, libraries, and frameworks to deliver professional-level predictions without relying on traditional supercomputing capabilities. This groundbreaking system is equipped to handle the entire process from collecting raw observational data to producing high-resolution forecasts, including localized storm warnings and medium-range predictions that can extend up to 15 days. By harnessing the power of generative AI architectures, Earth-2 dramatically speeds up computational tasks while either preserving or improving accuracy compared to traditional forecasting methods. The Earth-2 suite includes specialized models like Atlas for multi-variable medium-range forecasting, StormScope for short-term localized weather insights, HealDA for global data assimilation, CorrDiff for enhancing regional resolution, and FourCastNet 3 aimed at effective global predictions. Additionally, this platform not only improves forecasting precision but also democratizes access to sophisticated forecasting tools, enabling a broader audience to benefit from these advancements. As such, Earth-2 marks a significant step forward in making weather forecasting more efficient and accessible to all.

Integrations

No integrations listed.

Screenshots and Video

NVIDIA Earth-2 Screenshot 1

Company Facts

Company Name:
NVIDIA
Date Founded:
1993
Company Location:
United States
Company Website:
www.nvidia.com/en-us/high-performance-computing/earth-2/

Product Details

Deployment
SaaS
Training Options
Documentation Hub
Online Training
Video Library
Support
Standard Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

NVIDIA Earth-2 Categories and Features