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Average Ratings 0 Ratings

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ease
features
design
support

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Description

NVIDIA Earth-2 is an advanced platform designed for high-performance, AI-enhanced weather and climate forecasting, utilizing a combination of open-source models, libraries, and frameworks to facilitate professional-grade predictions without the necessity for traditional supercomputing resources. This innovative system offers comprehensive capabilities, starting from the ingestion of raw observational data and culminating in the generation of high-resolution weather and climate forecasts, which include localized storm predictions and medium-range forecasts that extend up to 15 days. By leveraging generative AI architectures, Earth-2 significantly accelerates computational processes while either maintaining or enhancing accuracy when compared to more conventional forecasting techniques. The Earth-2 suite features a range of models such as Atlas, which specializes in multi-variable medium-range forecasting, StormScope for short-term local weather predictions, HealDA for global data assimilation, CorrDiff for regional resolution downscaling, and FourCastNet 3 for efficient global forecasting. Furthermore, this platform not only enhances predictive capabilities but also democratizes access to advanced forecasting technologies, making them more readily available to a wider audience.

Description

Timestral represents a suite of time-series foundation models along with a Python inference toolkit designed to create multivariate probabilistic forecasts based on historical data sequences. It comes in four different model sizes—5M, 28M, 123M, and 209M parameters—that are capable of handling past-only, known-future, and categorical covariates, providing quantile forecasts while accommodating context windows as extensive as 32,768 time steps. Users have the flexibility to load pretrained weights either from the Hugging Face Hub or directly from local files, enabling them to perform inference on both CPU and GPU. Such forecasts can be seamlessly integrated into various applications, including monitoring systems, capacity planning, energy management, supply chain logistics, financial risk assessment, or maintenance operations. Furthermore, Timestral offers zero-shot forecasting capabilities and can be tailored to specific domain data through the Mistral Forge. This package is primarily aimed at data scientists, machine learning engineers, and collaborative teams focused on developing robust forecasting solutions; the repository code is licensed under Apache 2.0, while the model weights are governed by a separate Modified MIT license. With its comprehensive features, Timestral is positioned to significantly enhance the accuracy and efficiency of predictive analytics in numerous industries.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

No images available

Integrations

Mistral Forge No 

Integrations

Mistral Forge Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

www.nvidia.com/en-us/high-performance-computing/earth-2/

Vendor Details

Company Name

Mistral AI

Founded

2023

Country

France

Website

github.com/mistralai/timestral

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Product Features

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