TLDR
- Fervo Energy stock jumped 8.2% in premarket trading after announcing a partnership with Nvidia and Pacific Northwest National Laboratory
- The deal will create “EGS-Twin,” a digital twin platform combining AI and physics-based modeling for geothermal drilling operations
- Fervo posted a Q1 loss of $3.72 per share, far worse than the expected loss of just 5 cents
- Revenue came in at $61,000, well below the $340,000 analysts had forecast
- The platform is scheduled for implementation by 2029, with AI models to be integrated into Nvidia Omniverse libraries
Fervo Energy stock jumped 8.2% to $37.50 in premarket trading on Monday, as investors focused on a new Nvidia partnership rather than a wider-than-expected quarterly loss.
The Bill Gates-backed geothermal company, which only began trading on May 13, announced the deal before the opening bell.
Fervo reported a Q1 2026 loss of $3.72 per share. That compares to a loss of $1.02 a year earlier and is well above Wall Street’s forecast of a 5-cent loss.
$FRVO is partnering with Nvidia and Pacific Northwest National Laboratory to build EGS-Twin, a digital twin platform for enhanced geothermal systems.
The platform will use Fervo field data, physics-based modeling, AI forecasting, Nvidia AI infrastructure, Omniverse libraries,…
— Wall St Engine (@wallstengine) June 22, 2026
Revenue totaled just $61,000 for the quarter, falling short of analyst expectations of around $340,000, according to FactSet.
Despite those numbers, investors moved the stock higher. The Nvidia partnership appeared to be the main driver.
Fervo said it will work with Nvidia and the Pacific Northwest National Laboratory to build a platform called EGS-Twin. The platform is designed for Enhanced Geothermal Systems technology.
What EGS-Twin Actually Does
EGS-Twin will pull together real-time field data, physics-based modeling, and AI-driven forecasting. The goal is to give geothermal operators a clearer picture of what is happening underground.
PNNL researchers will use data from Fervo’s sites in Nevada and Utah to train AI models on Nvidia infrastructure.
Once trained, those models will be integrated into Nvidia Omniverse libraries. PNNL will also build workflows using U.S. Department of Energy supercomputing resources.
The platform is aimed at helping operators identify subsurface changes faster, improve power output, and scale geothermal operations more efficiently.
Fervo CTO and co-founder Jack Norbeck said: “Integrating high-fidelity physics-based models with AI-driven forecasting has the potential to reshape reservoir management, improve heat recovery, and enhance system reliability.”
Timeline and Deployment
The EGS-Twin platform is scheduled for full implementation by 2029.
Training of the digital twin will begin immediately using Fervo’s proprietary field data. The models will be refined as more production data becomes available from the Nevada and Utah sites.
Fervo’s Houston-based operations use steam from deep underground to generate electricity. The EGS-Twin platform is intended to make that drilling process faster and more precise.
Nvidia stock was also up 2.95% in Monday trading.
Fervo has only been publicly traded for about six weeks, making Monday’s premarket move one of its more active sessions since debut.
The Q1 results mark the company’s first earnings report as a public company.
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