Timestral

Timestral

Mistral 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).

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.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

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

Audience

Climate scientists, meteorological agencies, energy and risk management industries, and developers looking for an AI weather and climate prediction tool

Audience

Data scientists, machine-learning engineers, forecasting practitioners, and teams developing time-series forecasting systems.

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

NVIDIA
Founded: 1993
United States
www.nvidia.com/en-us/high-performance-computing/earth-2/

Company Information

Mistral AI
Founded: 2023
France
github.com/mistralai/timestral

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Categories

AI Models Supported

Categories

AI Models Supported

Integrations

Mistral Forge Not Supported

Integrations

Mistral Forge Supported
Claim NVIDIA Earth-2 and update features and information
Claim NVIDIA Earth-2 and update features and information
Claim Timestral and update features and information
Claim Timestral and update features and information