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NVIDIA's CUDA platform enables digital twins and AI agents that simulate grid scenarios, allowing utilities to transition from static assessments to dynamic, risk-informed investment strategies for renewable integration. This application demonstrates how generative AI accelerates infrastructure evaluation and optimizes capital allocation in an increasingly volatile energy landscape.
NVIDIA AI powers five companies building a low-carbon energy future

Five companies are leveraging NVIDIA AI to accelerate a low-carbon grid, tackling challenges from infrastructure to R&D.
Southern California Edison is reducing grid interconnection application evaluation times from 30-45 days to just two minutes, thanks to software from ThinkLabs AI. The company is using the NVIDIA CUDA platform to build digital twins and agents that proactively address grid instability by modeling scenarios shifting from static grid views to risk-informed investment strategies. NVIDIA is highlighting ThinkLabs, alongside four other companies, as innovators in using AI to accelerate the transition to a low-carbon energy future. ThinkLabs AI has reduced grid interconnection application evaluation times to two minutes, a dramatic reduction from the typical 30-45 day process, by deploying AI-powered simulations. This approach allows for optimized investment strategies and a more resilient energy infrastructure as renewable sources introduce greater variability. Josh Wong, founder and CEO of ThinkLabs, emphasizes the dual benefit of their solution, stating, “That hits not just reliability…
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