Earth-2 FourCastNet NIM

FourCastNet (FCN) predicts accurate short to medium-range global predictions at a time-step size of 6 hours with predictive stability for over a year of simulated time (1,460 steps), while retaining physically plausible dynamics. The multivariant forecast includes surface and atmospheric variables such as wind speed, temperature and pressure at various vertical levels.

These model(s) are available for commercial use:

• FourCastNet V2 (SFNO)

What is NVIDIA NIM?

NVIDIA NIM, part of NVIDIA AI Enterprise, is a set of easy-to-use microservices designed to accelerate deployment of generative AI across cloud, data center, and workstations.

Benefits of self-hosted NIMs:

• Deploy anywhere and maintain control of generative AI applications and data
• Streamline AI application development with industry standard APIs and tools tailored for enterprise environments
• Prebuilt containers for the latest generative AI models, offering a diverse range of options and flexibility right out of the gate
• Industry-leading latency and throughput for cost-effective scaling
• Support for custom models out of the box so models can be trained on domain specific data
• Enterprise-grade software with dedicated feature branches, rigorous validation processes, and robust support structures

Getting Started with FourCastNet NIM

Please visit the Earth-2 NIM Documentation on how to get started.

Security Vulnerabilities in Open Source Packages

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For certain open-source vulnerabilities listed in the scan results, NVIDIA provides a response in the form of a Vulnerability Exploitability eXchange (VEX) document. The VEX information can be reviewed and downloaded from the Security Scanning (LINK) tab.

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NVIDIA AI Enterprise Documentation

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Governing Terms

The NIM container is governed by the NVIDIA AI Product Agreement; and the use of this model is governed by the NVIDIA AI Foundation Models Community License.

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