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SLB expands Nvidia partnership to develop AI infrastructure for energy sector
Oilfield services company SLB is deepening its collaboration with Nvidia. They will create artificial intelligence infrastructure and models for the energy sector. This move aims to help energy companies process vast amounts of data faster. The partnership will also focus on building modular AI data centres. This initiative seeks to drive efficiency and sustainability in energy operations. Oilfield services company SLB said on Wednesday it would expand its partnership with Nvidia to develop artificial intelligence infrastructure and models for the energy industry, as companies look to scale up use of the technology. The deal builds on the two companies' â partnership, â which began in 2008 when SLB used Nvidia's accelerated computing and then expanded in 2024 to development of generative AI solutions for the energy sector. It also reflects the energy industry's need to process growing volumes of geological, production and infrastructure data more quickly, at a â time when producers are seeking to cut costs, improve reliability and lower emissions. Oilfield contractors such as SLB â are also keen to drive growth by delivering power equipment, turbines and data solutions to data centers and related AI infrastructure work, at a time when drilling demand is slowing. Under the expanded partnership, SLB will act as a design partner for modular AI data centers based on Nvidia technology and work with the U.S. chip firm to create an "AI Factory for Energy". The platform aims to help â oil and gas producers and power companies apply AI to large volumes of operational data. "Building AI Factory infrastructure and domain models is needed to turn massive amounts of energy data into actionable insights and accelerate more efficient and sustainable energy systems," said Vladimir Troy, vice president of AI Infrastructure at Nvidia.
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SLB, Nvidia Expand Collaboration on AI Use in Energy Industry
SLB and Nvidia have expanded the two companies' collaboration aiming to design and deploy AI infrastructure and models for the energy industry. The partnership intends to help energy companies transform the vast amounts of operational data they generate across subsurface, production and energy infrastructure into helpful insights. The companies will develop a reference environment powered by generative AI models and agentic AI that will run on SLB's digital platforms to help energy companies use AI for their data and operations. SLB will also serve as the modular design partner for Nvidia's DSX data centers, using off-site construction to reduce costs, labor constraints and lead times in expanding data center capacity. The relationship between the two companies began in 2008, when SLB first used Nvidia computing to enhance subsurface visualization and seismic imaging software. In 2024, the companies announced plans to develop generative AI solutions for the energy sector. Write to Nicholas G. Miller at [email protected].
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Oilfield services company SLB is deepening its collaboration with Nvidia to develop AI infrastructure and models for the energy industry. The expanded partnership will create an AI Factory for Energy platform and modular data centers, helping oil and gas producers process massive volumes of operational data to improve efficiency and sustainability.
Oilfield services company SLB announced Wednesday it would expand its collaboration with Nvidia to develop advanced AI infrastructure and models specifically designed for the energy industry
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. This strategic move addresses the growing need for energy companies to process vast amounts of operational data more efficiently while cutting costs and reducing emissions. The expanded SLB Nvidia partnership builds on a relationship that began in 2008, when SLB first adopted Nvidia's accelerated computing for subsurface visualization and seismic imaging software2
.Under the expanded agreement, the companies will collaborate to create an "AI Factory for Energy" platform designed to help oil and gas producers and power companies apply AI in energy operations at scale
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. This initiative focuses on transforming the massive volumes of geological, production, and infrastructure data that energy companies generate into actionable insights. Vladimir Troy, vice president of AI Infrastructure at Nvidia, emphasized that "building AI Factory infrastructure and domain models is needed to turn massive amounts of energy data into actionable insights and accelerate more efficient and sustainable energy systems"1
.SLB will serve as the modular design partner for Nvidia's DSX data centers, leveraging off-site construction methods to reduce costs, address labor constraints, and shorten lead times when expanding data center capacity
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. The partnership will develop modular AI data centers based on Nvidia technology, enabling faster deployment of AI use in energy industry applications. This approach reflects the sector's urgency to scale AI capabilities while managing infrastructure investments efficiently.Related Stories
The collaboration will develop a reference environment powered by generative AI models and agentic AI models that will run on SLB's digital platforms
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. These generative AI solutions in the energy sector aim to help companies utilize AI for processing vast amounts of energy data across subsurface, production, and energy infrastructure operations. The 2024 expansion specifically targeted development of generative AI applications, marking a significant evolution from the companies' earlier focus on accelerated computing.The expanded partnership comes as oilfield contractors like SLB seek growth opportunities beyond traditional drilling services, which face slowing demand. SLB is positioning itself to deliver power equipment, turbines, and data solutions to data centers and related AI infrastructure projects
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. This diversification strategy aligns with the broader energy industry's push to improve reliability, achieve cost reduction, and lower emissions through digital transformation. For energy companies watching this space, the partnership signals how AI infrastructure will become central to competitive advantage, enabling faster decision-making and sustainability in operations across the sector.ð¡ festivities in Chennai during the New Year.Summarized by
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