RIO BRANCO, Brazil — In the western Amazon, satellite images update every few days showing how much forest has been lost. A new AI system developed by NVIDIA and Brazil’s National Institute for Space Research now processes these images within hours instead of weeks. The tool flags illegal logging in near real time and helps environmental agencies send teams to the right locations faster.
The same AI model runs on NVIDIA GPUs at research centers in Manaus and Cuiabá. It compares current forest cover with historical data to estimate carbon loss per tree species. Environmental groups use the numbers to plan reforestation projects that restore the most valuable biodiversity corridors first.
Across the Andes, NVIDIA GPUs power another AI system tracking glacier melt in Peru. The model uses radar data to measure ice thickness changes down to a meter. Glaciologists combine the results with river flow records to predict water shortages for cities downstream. Authorities in Lima now adjust reservoir levels months in advance based on these forecasts.
In Europe, NVIDIA GPUs run climate simulations that downscale global models to city level. Cities like Barcelona and Rotterdam use the local forecasts to test flood defenses before building them. The simulations show which neighborhoods will flood first and how high the water will rise during a 100-year storm.
At recycling plants in Germany, NVIDIA AI sorts plastic waste faster than humans. Cameras feed images to NVIDIA GPUs that recognize polymer types in milliseconds. The system separates PET bottles from PVC trays so they can be melted and reused. Plants report a 15% increase in recycled material purity since switching to AI sorting.
Source: blogs.nvidia.com