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5 Companies Deploying NVIDIA AI for Clean Energy
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Clean energy isn’t hard to come by, but the pace of large-scale adoption has historically been slow due to bottlenecks, including out-of-date infrastructure, elongated research and development timelines, and upfront cost barriers.
Key facts
- Southern California Edison used ThinkLabs software to reduce the time required to evaluate each grid interconnection application from 30-45 days to two minutes
- Fusion energy is poised to join the clean energy stack in the 2030’s, thanks to Commonwealth Fusion Systems (CFS)
- NIVA, short for Nuclear Industry Virtual Assistant, was built with the Institute of Nuclear Power Operations, Electric Power Research Institute and the Nuclear Energy Institute as a unified platform
- These magnets allow SPARC’s design to be 40x smaller and, by extension, cheaper to build and operate
Summary
At New York Climate Week, NVIDIA is highlighting five companies pioneering clean energy projects with AI baked into their foundation, accelerating research-to-inception pipelines and ultimately helping build a low carbon grid. ThinkLabs AI is curating digital twins and agents, using the NVIDIA CUDA platform, to speed up interconnection timelines, seamlessly integrate clean energy sources and optimize the grid to handle ongoing variability. “The grid is getting less and less certain, so the ability to see things not statically, but as a probability, hence all the utility actions, should be risk informed,” said Josh Wong, founder and CEO of ThinkLabs, a member of the NVIDIA Inception program for cutting-edge startups.