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Nvidia showcases five firms using its AI to accelerate clean energy projects

At New York Climate Week Nvidia highlighted five companies that embed its AI technology in clean‑energy projects. ThinkLabs uses NVIDIA CUDA‑based digital twins and agents to cut the time needed to evaluate grid interconnection applications from 30‑45 days to two minutes, aiming to improve reliability and affordability. Founder and CEO Josh Wong said the approach makes utility actions…

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Key points

  • ThinkLabs cut interconnection evaluation from 30‑45 days to two minutes with Nvidia‑powered agent
  • Atomic Canyon’s Neutron and NIVA turn nuclear data into an AI knowledge layer for operators
  • Redwood Materials powers AI factories with 100%‑recycled EV batteries and Nvidia Blackwell AI

Atomic Canyon, another Nvidia Inception member, offers the Neutron workbench and the NIVA virtual assistant, turning procedures, regulatory guidance and operational data into an AI‑driven knowledge layer for nuclear plant operators. Redwood Materials builds off‑grid power systems for AI data centers using 100%‑recycled EV batteries and an AI layer on the Nvidia Blackwell platform, reducing transformer and inverter needs and lowering power costs. TerraPower connects an Nvidia Omniverse‑powered digital‑twin platform to its Natrium reactor to shorten siting and delivery from years to months, while Commonwealth Fusion Systems uses Nvidia Omniverse libraries and OpenUSD to compress fusion‑experiment cycles from years to weeks for its SPARC tokamak, claiming a 40x smaller design.

Full story from NVIDIA Blog · by Zoe Kessler primary sourceOpen source ↗

5 Companies Using NVIDIA AI for Clean Energy

NVIDIA Blog · 21 September 2026

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This text was published by NVIDIA Blog and written by Zoe Kessler. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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NvidiaThinkLabsAtomic CanyonRedwood MaterialsTerraPowerCommonwealth Fusion SystemsJosh WongTrey LauderdaleColin CampbellChris LevesqueBrandon Sorbom

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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