NVIDIA Earth-2NVIDIA
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TimestralMistral AI
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About
NVIDIA Earth-2 is a high-performance, AI-accelerated global weather and climate forecasting platform that combines open models, libraries and frameworks to make professional-grade forecasting accessible and deployable on modern infrastructure instead of requiring traditional supercomputers. It provides end-to-end capabilities from ingesting raw observational data to producing high-resolution weather and climate predictions, including local storm forecasts and up to 15-day medium-range forecasts, with generative AI architectures that drastically speed computations while maintaining or improving accuracy compared with conventional methods. The Earth-2 stack consists of models like Medium Range (Atlas architecture for multi-variable forecasts), Nowcasting (StormScope for 0-to-6-hour local weather), Global Data Assimilation (HealDA for initial atmospheric states), CorrDiff (AI downscaling to regional resolution), and FourCastNet 3 (fast global forecasting).
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About
Timestral is a family of time-series foundation models and a Python inference package for generating multivariate probabilistic forecasts from historical sequences. The four model sizes (5M, 28M, 123M and 209M parameters) support past-only, known-future and categorical covariates, return quantile forecasts, and accept context windows up to 32,768 time steps. Developers can load pretrained weights from the Hugging Face Hub or from local files and run inference on CPU or GPU, then incorporate forecasts into monitoring, capacity-planning, energy, supply-chain, financial-risk, or maintenance workflows. Timestral supports zero-shot forecasting and can be adapted to domain data through Mistral Forge. The package is intended for data scientists, machine-learning engineers, and teams building forecasting systems; repository code is Apache 2.0, while model weights use a separate Modified MIT license.
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Platforms Supported
Windows
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Mac
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Linux
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Cloud
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On-Premises
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iPhone
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iPad
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Android
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Chromebook
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Not Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Climate scientists, meteorological agencies, energy and risk management industries, and developers looking for an AI weather and climate prediction tool
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Audience
Data scientists, machine-learning engineers, forecasting practitioners, and teams developing time-series forecasting systems.
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Support
Phone Support
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24/7 Live Support
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Online
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Support
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API
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API
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Pricing
No information available.
Free Version
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Free Trial
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Pricing
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Free Version
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Reviews/
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Training
Documentation
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Webinars
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Live Online
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In Person
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Training
Documentation
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Company InformationNVIDIA
Founded: 1993
United States
www.nvidia.com/en-us/high-performance-computing/earth-2/
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Company InformationMistral AI
Founded: 2023
France
github.com/mistralai/timestral
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Integrations
Mistral Forge
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