Nvidia highlights three companies using AI to accelerate clean energy at New York Climate Week

Nvidia used New York Climate Week to showcase five companies blending AI into clean-energy infrastructure, though the detailed briefing named only three: ThinkLabs AI, Atomic Canyon and Redwood Materials. Each targets a different choke point — grid interconnection, nuclear operations and power supply for AI factories.

ThinkLabs AI, an Nvidia Inception portfolio company, builds digital twins and agents on the CUDA platform to shrink the time needed to connect renewable sources to the grid. Founder and chief executive Josh Wong said the grid is becoming less deterministic, so a probabilistic view of operating actions is required. Southern California Edison reported cutting the interconnection study window from 30 to 45 days down to two minutes, thanks to an agent that runs grid simulations and identifies fixes for interconnection bottlenecks.

Atomic Canyon, also in Inception, is developing Neutron, an AI workspace for nuclear professionals that turns procedures, regulations, licensing and design calculations into a knowledge layer, and NIVA, a virtual assistant created with the Institute of Nuclear Power Operations (INPO), the Electric Power Research Institute (EPRI) and the Nuclear Energy Institute (NEI) for the U.S. Navy. Chief executive Trey Lauderdale said existing methods will not scale to meet current demand without AI. The platform runs on Nvidia accelerated computing, though the source does not specify which GPU generation is used in production.

Redwood Materials is closing the gap between AI's electricity appetite and the pace of grid build-out by using 100% recycled electric-vehicle batteries as on-site energy reservoirs, managed by an intelligence layer on the Blackwell platform. The simplified architecture, with in-house power electronics, eliminates transformers, inverters and UPS units, enabling deployment in months instead of years. The company says the system responds to the novel load swings of data centers, but the chief executive's full quote was cut off in the source and no comparative benchmarks or actual deployment costs were published.

The three examples illustrate how AI is moving from an optimization layer into critical infrastructure, yet the source does not reveal the two additional companies promised in the headline, provides no independent benchmarks, and does not clarify whether the solutions are already deployed at full commercial scale or remain in pilot stages.