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Friday, 4 September 2026 Sign in

WeatherNext 3

Model ● Covered in 4 stories + Follow

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Specifications

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Latest developments

Google DeepMind’s WeatherNext 3 Trains on Weather Station Observations to Deliver 5 km Global Forecasts, Refreshed Every Hour MarkTechPost · 8 hours ago · 2

Introducing WeatherNext 3, our most advanced and accurate global weather AI model Google · 18 hours ago · 21

Google’s latest AI weather model gives you no excuse to forget your umbrella TechCrunch · 18 hours ago · 43

Google says its AI weather model is getting better The Verge · 22 hours ago · 35

Timeline

Month Quarter Year

2026

Google DeepMind and Google Research introduced WeatherNext 3, an updated AI model for global weather forecasting with higher-resolution, hourly updates Model release

Relationships

Products & technology

Google DeepMind develops this model · 3 sources
Google Research develops this model · 2 sources
Integrated with Search · 1 source
Integrated with Gemini · 1 source
Integrated with Maps · 1 source
Integrated with Operational WeatherBench · 1 source
Derived from WeatherNext 2 · 1 source
Deploys Google Search · 1 source
Deploys Google Maps · 1 source
Integrated with Google Search · 1 source
Integrated with Gemini · 1 source
Integrated with Maps · 1 source

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TLDRocket 4 September 2026

Nvidia’s $12.93 billion acquisition of Hugging Face is the day’s loudest signal that “open models” are becoming infrastructure. The deal, completed September 2, moves the French-founded platform entirely into US ownership, just as Hugging Face itself reports a library of more than 3 million models and roughly 18 million developers. The question now isn’t whether open-weight tooling works, but who gets paid once it turns into enterprise operations—safety evaluations, deployment pipelines, and inference in production. Nvidia’s play is to sit closer to the workflow than a box of GPUs ever could, and it pairs neatly with new Personal AI Router (PAIR), which aims to spread agentic sub-tasks across your home machines by clustering and redistributing work when nodes drop.

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