How NVIDIA is Mitigating Climate Based Supply Chain Risks

For supply chain managers and risk officers, weather uncertainty represents one of the most persistent operational threats. From logistics disruption to energy price volatility, atmospheric conditions can ripple through global operations in hours.

NVIDIA Earth-2's AI weather and climate forecasting tool advances scientists' overall understanding of the planet's atmospheric conditions while offering enterprises new capabilities to anticipate and mitigate weather-related supply chain risks.

AI-powered models can process vast amounts of observational data in real time, deliver localised forecasts in minutes and reduce the energy footprint of traditional supercomputing systems.

"Making production-ready weather AI fully accessible for organisations to run, fine-tune and deploy on their own infrastructure, NVIDIA Earth-2 is the first open stack to bring together typically disparate weather AI capabilities, from generating current atmospheric conditions to predicting weather weeks in advance," says Mike Pritchard, Director of Climate Simulation at NVIDIA.

Unified intelligence for operational planning

Traditional weather forecasting depends on physics-based models running on energy-intensive supercomputers. While powerful, these models are slow and costly, limiting their availability to only a few large national institutions.

For enterprises managing distributed supply chains or energy assets, this creates a critical intelligence gap.

NVIDIA Earth-2 replaces that bottleneck with a modular AI infrastructure capable of accelerating every stage of the forecasting process.

By deploying these models on GPUs instead of traditional CPU clusters, users can cut processing times from hours to seconds, enabling rapid scenario planning and risk assessment.

Built as an open ecosystem, Earth-2 allows researchers, developers and public agencies to run, fine-tune and deploy AI weather models directly on their own infrastructure.

Multiple models for enterprise resilience

The Earth-2 portfolio spans multiple model architectures tackling different layers of the weather system. Earth-2 Medium Range delivers 15-day forecasts across more than 70 weather variables, enabling procurement teams to anticipate disruption windows and adjust inventory strategies accordingly.

Earth-2 Nowcasting uses generative AI to produce kilometre-scale 0- to six-hour predictions of local storms and hazardous weather. For logistics operations and field services, this granular, near-term intelligence could mean the difference between minor delays and major losses.

Earth-2 Global Data Assimilation produces atmospheric "snapshots" essential for accurate prediction. When coupled with the Medium Range model, it creates a fully AI-powered pipeline capable of delivering some of the most skilful forecasts yet recorded.

All supply chain, sustainability, Scope 3 and net zero leaders should attend:

• Procurement and Supply Chain LIVE: The Net Zero Summit - QEII Centre, London, March 4-5
• Procurement and Supply Chain LIVE: The US Summit - Navy Pier, Chicago, April 21-22

Co-located with Sustainability LIVE, these events brings together CSCOs, CSOs and senior decision-makers at a moment when sustainability, supply chains and commercial performance are increasingly interconnected.
Tickets can be booked online today for The Net Zero Summit and The US Summit. Group discounts available.

Deployment across energy and insurance sectors

Earth-2's open access has already drawn diverse collaborators addressing supply chain and risk challenges. Brightband uses Earth-2 Medium Range operationally to issue daily forecasts. The Israel Meteorological Service credits the CorrDiff model with reducing compute requirements by 90% while improving accuracy for precipitation verification.

"NVIDIA Earth-2 models give us a 90% reduction in compute time at 2.5-km resolution compared with running a classic numerical weather prediction model without AI on a CPU cluster," adds Amir Givati, Director of the Israel Meteorological Service.

“After a recent rainstorm, our AI model trained with CorrDiff was the best of all our operational models for a six-hour verification of accumulated precipitation.”

In the energy sector, TotalEnergies, Eni and GCL are leveraging Nowcasting models to enhance short-term risk awareness and optimise solar and gas forecasts. Meanwhile, AXA and S&P Global Energy are using Earth-2's generative models to simulate thousands of extreme-weather scenarios, advancing climate risk assessment and insurance modelling.

"NVIDIA Earth-2 represents a major step forward in how advanced weather intelligence can be operationalised at scale," says Emmanuel Le Borgne, Climate and Weather Forecast Product Manager at TotalEnergies.

"Models like Earth-2 Nowcasting are ground-breaking for our business because they improve short-term risk awareness and decision-making in energy systems where minutes and local impacts matter."

By making its models openly available, NVIDIA is positioning Earth-2 as a catalyst for global collaboration in climate technology. As extreme weather grows more frequent and costly, tools like Earth-2 demonstrate the dual potential of AI: accelerating scientific progress while supporting organisations to manage supply chain risk and operational exposure.