
SLB Expands AI Collaboration with NVIDIA to Transform Energy Industry
Global energy technology leader SLB (NYSE: SLB) today announced a significant expansion of its technology collaboration with NVIDIA, aimed at designing and deploying critical artificial intelligence infrastructure and models tailored for the energy sector. This expanded partnership focuses on three strategic areas to accelerate AI adoption, improve operational efficiency, and enable scalable, sustainable energy solutions across SLB’s global platforms.
Modular Design for AI Data Centers
SLB will serve as the modular design partner for NVIDIA DSX AI factories, leveraging a modular approach in which components are manufactured offsite for rapid deployment. This method increases quality and reliability while reducing construction costs, labor constraints, and lead times. The modular design also allows for flexible scaling, enabling energy companies to quickly expand data center capacity as demand grows. By adopting a pre-fabricated, modular strategy, SLB and NVIDIA aim to set new industry standards in infrastructure efficiency and operational readiness, allowing AI capabilities to be deployed quickly and reliably across multiple energy operations worldwide.
AI Factory for Energy
A key element of the collaboration is the creation of an “AI Factory for Energy,” a reference environment powered by domain-specific generative AI models and industrial-scale agentic AI. This environment will run on SLB’s digital platforms to help energy companies scale AI effectively across their data and operational processes. The AI Factory is designed to integrate large datasets from subsurface, production, and energy infrastructure operations, transforming siloed and slow decision-making into actionable, real-time insights. By combining NVIDIA Omniverse libraries and NVIDIA Nemotron open models with SLB’s Delfi™ and Lumi™ digital platforms, the AI Factory will support generative AI, traditional machine learning, and emerging agentic AI technologies. The collaboration targets performance improvements, operational reliability, and lower-carbon energy systems by turning massive operational datasets into optimized workflows and predictive insights.
Accelerated Computing Across SLB Platforms
SLB and NVIDIA will also optimize the processing of large datasets and AI models across SLB digital platforms using the latest NVIDIA AI infrastructure. This accelerated computing effort aims to establish new benchmarks for AI performance and efficiency in energy applications, enabling faster simulations, enhanced subsurface visualization, and improved predictive analytics. By integrating high-performance computing and energy domain expertise, the partnership seeks to transform operational data into smarter, faster decisions, supporting energy companies in achieving operational excellence while reducing costs and carbon intensity.
Driving AI at Scale in Energy
“The winners in AI will be companies with the best data, the deepest domain expertise, and the ability to scale,” said Demos Pafitis, SLB Chief Technology Officer. “By collaborating with NVIDIA to advance modular data-center construction and harness our domain expertise and digital platforms, we’re enabling the energy industry to deploy AI at scale and transform operational data into smarter decisions.” Energy companies generate vast quantities of data across subsurface exploration, production, and infrastructure, often resulting in slow, siloed decision-making. The partnership between SLB and NVIDIA is designed to accelerate the transformation of this data into actionable insights, driving efficiency, sustainability, and operational intelligence at every stage of energy production.
NVIDIA’s Perspective on Industrial AI
“AI is becoming the engine of a new industrial revolution, and the energy industry is at its forefront,” said Vladimir Troy, Vice President of AI Infrastructure at NVIDIA. “Building AI Factory infrastructure and domain-specific models is critical to converting massive energy datasets into actionable insights, accelerating the development of more efficient, sustainable, and intelligent energy systems.” By focusing on both hardware and software, NVIDIA and SLB are creating a comprehensive ecosystem that allows energy companies to scale AI applications safely and effectively while leveraging advanced analytics and generative AI capabilities to enhance decision-making.
Building on a Long-Standing Partnership
The collaboration builds on a long-standing relationship between SLB and NVIDIA, which began in 2008 when NVIDIA accelerated computing was first used to enhance SLB’s subsurface visualization and seismic imaging software. In 2024, the companies announced plans to develop generative AI solutions for the energy sector, integrating NVIDIA software with SLB’s Delfi™ digital platform and Lumi™ data and AI platform. Today’s expansion represents the next stage in moving from AI experimentation to enterprise-scale deployment, reflecting the energy industry’s growing commitment to leveraging AI at scale for operational and sustainability outcomes.
Key Highlights of the Expanded Collaboration
- Design Partner for Modular DSX AI Data Centers: SLB will apply modular, off-site construction techniques to enable scalable, rapid deployment of NVIDIA DSX AI infrastructure.
- AI Factory for Energy: SLB and NVIDIA will develop a reference environment with domain-specific generative AI models and industrial-scale agentic AI to accelerate AI adoption across energy operations.
- Optimized Computing for SLB Digital Platforms: The collaboration will enhance the processing of large datasets and AI models, setting new performance and efficiency standards for energy applications.
- Enterprise-Scale Deployment: The expanded work reflects the industry’s transition from pilot AI projects to scalable, enterprise-level solutions that integrate digital platforms, high-performance computing, and domain expertise.
Impact on the Energy Industry
This expanded collaboration aims to enable energy companies to harness AI across operational workflows, turning large volumes of complex data into actionable insights that improve efficiency, reliability, and sustainability. By leveraging advanced computing infrastructure and AI models specifically tailored for energy, the partnership supports faster decision-making, predictive analytics, and optimized operations while reducing energy intensity and carbon footprint. With modular infrastructure, scalable AI platforms, and domain-specific generative models, the collaboration is poised to transform the industry’s approach to data-driven operations.
About SLB
SLB (NYSE: SLB) is a global energy technology company with a history of driving innovation in the oil, gas, and broader energy industry for 100 years. With a presence in more than 100 countries and employees representing nearly twice as many nationalities, SLB delivers digital solutions at scale, decarbonizes industries, and develops new energy systems that accelerate the energy transition. SLB’s portfolio spans subsurface technology, production optimization, and digital and AI-driven energy solutions designed to improve efficiency and sustainability. For more information, visit slb.com.The expansion of SLB’s collaboration with NVIDIA represents a major step forward in bringing AI to scale across the energy industry. By combining modular AI infrastructure, domain-specific generative models, and accelerated computing across SLB platforms, the partnership aims to transform how energy companies process data, make decisions, and optimize operations. This strategic initiative builds on over a decade of joint innovation, reinforcing SLB and NVIDIA’s commitment to enabling smarter, more sustainable, and highly efficient energy systems worldwide.
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