5 Companies Using NVIDIA AI for Clean Energy

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isn’t hard to come by, but the pace of large-scale adoption has historically been slow due to bottlenecks — including out-of-date infrastructure, elongated research and development timelines, and upfront cost barriers. 

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 Drives Toward An Autonomous Grid With Digital Twins

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. “That hits not just reliability objectives, but also affordability, so we know how to maximize and optimize investments.” 

Southern California Edison used ThinkLabs software to reduce the time required to evaluate each grid interconnection application from 30-45 days to just two minutes.

The speedup came from a ThinkLabs agent that runs grid simulations and identifies solutions to interconnection barriers. 

Atomic Canyon’s AI Platform Helps Redefine Operations in the Nuclear Sector 

PG&E’s Diablo Canyon, optimized by Atomic Canyon

Atomic Canyon, another NVIDIA Inception member, is bringing AI-powered knowledge management and assistance to reactor operators with its NVIDIA accelerated compute-powered Neutron and NIVA platforms to streamline nuclear power plant operations.