Key insights
- SLB and NVIDIA are expanding their collaboration to develop AI infrastructure for the energy sector. This includes AI factories, domain-specific generative AI models, and optimized data processing. The partnership leverages NVIDIA's AI capabilities and SLB's industry expertise. This may positively influence US equities by boosting productivity and innovation in the energy sector, although the impact will likely be gradual.
HOUSTON - SLB (NYSE:SLB) announced Tuesday an expansion of its technology collaboration with NVIDIA to design and deploy AI infrastructure and models for the energy industry, according to a press release statement. The $75.82 billion energy technology company’s stock is trading near its 52-week high at $50.51, reflecting strong investor confidence with a 48% surge over the past six months.
The partnership focuses on three areas. SLB will serve as the modular design partner for NVIDIA DSX AI factories, using offsite manufacturing to reduce costs and lead times while enabling rapid scaling of data center capacity. The companies will develop an AI Factory for Energy, a reference environment powered by domain-specific generative AI models running on SLB’s digital platforms. The collaboration will also optimize processing of large datasets and AI models across SLB digital platforms using NVIDIA AI infrastructure.
"The winners in AI will be companies with the best data, the deepest domain expertise and the ability to scale," said Demos Pafitis, SLB’s chief technology officer.
Vladimir Troy, vice president of AI Infrastructure at NVIDIA, stated that building AI Factory infrastructure and domain models is needed to turn energy data into actionable insights.
The collaboration combines NVIDIA Omniverse libraries and NVIDIA Nemotron open models with SLB digital and AI platforms. The work spans traditional machine learning, generative AI and agentic AI technologies.
The partnership builds on a relationship that began in 2008, when NVIDIA accelerated computing was first used to enhance SLB subsurface visualization and seismic imaging software. In 2024, the companies announced plans to develop generative AI solutions using NVIDIA software integrated with SLB’s Delfi digital platform and Lumi data and AI platform.
SLB operates in more than 100 countries and focuses on oil and gas innovation, digital technologies, decarbonization and new energy systems.
In other recent news, Schlumberger (SLB) announced that its OneSubsea joint venture has secured a significant contract from China National Offshore Oil Corporation for the Kaiping 18-1 field in the South China Sea. This contract involves engineering, production, and construction for 20 wells, with SLB providing advanced subsea production technology and support services. However, SLB also disclosed potential revenue impacts due to disruptions in the Middle East, as highlighted in an 8-K filing. BMO Capital reiterated an Outperform rating for SLB but adjusted its earnings estimates, noting a potential $0.06 to $0.09 impact on first-quarter 2026 earnings per share. Bernstein SocGen Group raised its price target for SLB to $56.10, maintaining an Outperform rating despite a projected shortfall in first-quarter 2026 revenue. Additionally, Melius Research commented on SLB’s strong market position in the Middle East, while also noting Weatherford International’s undervaluation in conflict recovery scenarios. SLB’s recent operational adjustments include suspending travel and demobilizing operations in several Middle Eastern countries due to regional disruptions. These developments are crucial for investors monitoring the company’s performance amid geopolitical challenges.
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