5 Companies Using NVIDIA AI for Clean Energy

Clean energy adoption faces delays due to outdated infrastructure, slow R&D cycles, and high costs. At New York Climate Week, NVIDIA showcased five companies integrating AI into their operations to streamline research-to-deployment pipelines. ThinkLabs AI uses NVIDIA CUDA to create digital twins and agents that optimize grid interconnections, reducing evaluation times for applications from 30-45 days to just two minutes. The approach enables probabilistic modeling to improve grid reliability and affordability while managing variability from renewable sources.

Atomic Canyon employs AI-powered platforms like Neutron and NIVA to assist nuclear reactor operators. Neutron consolidates procedures, regulatory records, and operational data into a unified knowledge layer, while NIVA, developed with industry groups, provides AI-driven support across the national nuclear fleet. CEO Trey Lauderdale emphasized the need to modernize nuclear operations with AI to meet growing energy demands, noting that traditional methods cannot scale efficiently.

Redwood Materials is deploying recycled EV batteries as off-grid power solutions for AI factories, addressing electricity demand surges that outpace grid expansion. The company’s AI-driven system, running on NVIDIA Blackwell, integrates with existing clean energy infrastructure to create flexible, secure power supplies. By simplifying architecture with in-house power electronics, Redwood reduces hardware complexity and lowers costs, enabling rapid deployment of new capacity in months rather than years.

TerraPower and Commonwealth Fusion Systems are advancing next-generation nuclear and fusion energy with NVIDIA Omniverse. TerraPower’s Natrium reactor, cooled by liquid sodium, uses digital twins to accelerate plant siting and construction from years to months. CFS is compressing decades of fusion experimentation into weeks for its SPARC tokamak, leveraging Omniverse and OpenUSD to replicate solar fusion safely and efficiently.