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On March 25, 2026, SLB, formerly Schlumberger, and NVIDIA announced they are expanding their partnership to bring artificial intelligence into the energy sector. Together, they plan to develop an AI factory for energy to accelerate AI use across the energy value chain, from exploration to production. This move builds on their partnership, which began in 2008, and signals a shift toward using AI at an enterprise scale.

Key Elements Of The AI Factory Partnership
- The AI Factory for Energy is a reference system that uses generative AI - AI that can create new content based on data and identity AI, AI capable of acting and making decisions independently. It operates through SLB's Digital Services, Delfi (a cloud-based platform for oil and gas operations), and Lumi (a digital solution for energy data), and helps energy companies process large amounts of operational data.
- SLB will be the modular design partner for NVIDIA DSX AI factories. Modular design means building data center components off-site in separate sections to be assembled later, which speeds deployment, lowers costs, and helps address labor shortages.
- The partnership will improve AI models and high-performance computing workflows on SLB's design frameworks and digital frameworks. It will use the latest NVIDIA AI infrastructure and software.
Impact On Energy Operations

This joint effort intends to automate and improve several parts of the US and global energy industry, focusing on
- Using AI to improve underground imaging and modeling, including better seismic processing and reservoir simulation.
- Applying generative AI to production operations and data management will turn operational data into useful insights. These insights will lead to cleaner and more optimized energy production.
- The partnership will support sustainability and decarbonization. It will help with carbon capture and reduce the factory's carbon footprint.
Building AI factory infrastructure and domain models is needed to turn massive amounts of energy data into useful insights. These actions will accelerate the development of increasingly efficient and sustainable energy systems, said Vladimir Troy, vice president of AI infrastructure at NVIDIA.

This announcement comes soon after other AI infrastructure updates in the industry. For example, the industry is using NVIDIA's Vera Rubin DSX AI Factory reference design to help AI factories connect to the power grid more quickly, as shared during CeraWeek 2026.

SLB is expanding its partnership with NVIDIA to develop generative AI solutions tailored to the energy industry. This press release features multimedia; the full release is available here. SLB and NVIDIA collaborate to develop generative AI solutions for the energy sector

The collaboration accelerates the creation and use of industry-specific generative AI models across SLB's global platforms, such as Delphi and Lumi. By using NVIDIA NeMo, part of the NVIDIA AI Enterprise software, they can develop custom generative AI that runs in data centers, in the cloud, or at the edge. It will build and optimize models to meet the specific needs and requirements of the data‑intensive energy industry, including subsurface exploration, production operations, and data management. This will help tap into the full potential of generative AI for energy domain experts including researchers, scientists, and engineers — enabling them to interact with complex technical processes in new ways to drive higher-value, lower-carbon outcomes.

As we manage the fragile balance between energy production and decarbonization, generative AI is emerging as an important driver of change, said Olivier Le Peuch, SLB's Chief Executive Officer. Our collaboration with NVIDIA will accelerate the development of specialized generative AI solutions, enabling our customers to improve operations, increase efficiency, and reduce their overall footprint.

AI offers the energy industry an extraordinary tool for sustainability, providing the resource that powers life across our planet. Said Jensen Huang, founder and CEO of NVIDIA, custom models created by SLB using NVIDIA NeMo will give the industry's scientists and engineers new sight. This will speed their work in optimizing energy supplies today and unblocking the clean energy innovations of tomorrow.

SLB and NVIDIA began collaborating in 2008 using graphics processing units, GPUs, for underground imaging and geoscience interpretation. Since then, they have worked closely to improve each generation of SLB's high-performance computing and visualization technologies on the Delphi platform by adding NVIDIA, NeMo, and NIM inference microservices. SLB will give customers a strong platform to use generative AI in their technical work.

The announcement was made at the SLB Digital Forum 2024 held this week in Monaco.

For more information, visit sl.com/nvidiacollaboration.

About SLB

SLB is a global technology company that drives energy innovation toward a balanced climate, with a worldwide reach across more than 100 countries and employees representing almost twice as many nationalities. We work each day to innovate in oil and gas, deliver digital at scale, decarbonize industries, and develop and scale new energy systems that accelerate the energy transition.

Source-  SLB and NVIDIA collaborate to develop generative AI solutions for the energy sector
About US
On March 25, 2026, SLB, formerly Schlumberger, and NVIDIA announced they are expanding their partnership to bring artificial intelligence into the energy sector. Together, they plan to develop an AI factory for energy to accelerate AI use across the energy value chain, from exploration to production. This move builds on their partnership, which began in 2008, and signals a shift toward using AI at an enterprise scale.

Key Elements Of The AI Factory Partnership
- The AI Factory for Energy is a reference system that uses generative AI - AI that can create new content based on data and identity AI, AI capable of acting and making decisions independently. It operates through SLB's Digital Services, Delfi (a cloud-based platform for oil and gas operations), and Lumi (a digital solution for energy data), and helps energy companies process large amounts of operational data.
- SLB will be the modular design partner for NVIDIA DSX AI factories. Modular design means building data center components off-site in separate sections to be assembled later, which speeds deployment, lowers costs, and helps address labor shortages.
- The partnership will improve AI models and high-performance computing workflows on SLB's design frameworks and digital frameworks. It will use the latest NVIDIA AI infrastructure and software.
Impact On Energy Operations

This joint effort intends to automate and improve several parts of the US and global energy industry, focusing on
- Using AI to improve underground imaging and modeling, including better seismic processing and reservoir simulation.
- Applying generative AI to production operations and data management will turn operational data into useful insights. These insights will lead to cleaner and more optimized energy production.
- The partnership will support sustainability and decarbonization. It will help with carbon capture and reduce the factory's carbon footprint.
Building AI factory infrastructure and domain models is needed to turn massive amounts of energy data into useful insights. These actions will accelerate the development of increasingly efficient and sustainable energy systems, said Vladimir Troy, vice president of AI infrastructure at NVIDIA.

This announcement comes soon after other AI infrastructure updates in the industry. For example, the industry is using NVIDIA's Vera Rubin DSX AI Factory reference design to help AI factories connect to the power grid more quickly, as shared during CeraWeek 2026.

SLB is expanding its partnership with NVIDIA to develop generative AI solutions tailored to the energy industry. This press release features multimedia; the full release is available here. SLB and NVIDIA collaborate to develop generative AI solutions for the energy sector

The collaboration accelerates the creation and use of industry-specific generative AI models across SLB's global platforms, such as Delphi and Lumi. By using NVIDIA NeMo, part of the NVIDIA AI Enterprise software, they can develop custom generative AI that runs in data centers, in the cloud, or at the edge. It will build and optimize models to meet the specific needs and requirements of the data‑intensive energy industry, including subsurface exploration, production operations, and data management. This will help tap into the full potential of generative AI for energy domain experts including researchers, scientists, and engineers — enabling them to interact with complex technical processes in new ways to drive higher-value, lower-carbon outcomes.

As we manage the fragile balance between energy production and decarbonization, generative AI is emerging as an important driver of change, said Olivier Le Peuch, SLB's Chief Executive Officer. Our collaboration with NVIDIA will accelerate the development of specialized generative AI solutions, enabling our customers to improve operations, increase efficiency, and reduce their overall footprint.

AI offers the energy industry an extraordinary tool for sustainability, providing the resource that powers life across our planet. Said Jensen Huang, founder and CEO of NVIDIA, custom models created by SLB using NVIDIA NeMo will give the industry's scientists and engineers new sight. This will speed their work in optimizing energy supplies today and unblocking the clean energy innovations of tomorrow.

SLB and NVIDIA began collaborating in 2008 using graphics processing units, GPUs, for underground imaging and geoscience interpretation. Since then, they have worked closely to improve each generation of SLB's high-performance computing and visualization technologies on the Delphi platform by adding NVIDIA, NeMo, and NIM inference microservices. SLB will give customers a strong platform to use generative AI in their technical work.

The announcement was made at the SLB Digital Forum 2024 held this week in Monaco.

For more information, visit sl.com/nvidiacollaboration.

About SLB

SLB is a global technology company that drives energy innovation toward a balanced climate, with a worldwide reach across more than 100 countries and employees representing almost twice as many nationalities. We work each day to innovate in oil and gas, deliver digital at scale, decarbonize industries, and develop and scale new energy systems that accelerate the energy transition.

Source-  SLB and NVIDIA collaborate to develop generative AI solutions for the energy sector
Tech Reviews
On March 25, 2026, SLB, formerly Schlumberger, and NVIDIA announced they are expanding their partnership to bring artificial intelligence into the energy sector. Together, they plan to develop an AI factory for energy to accelerate AI use across the energy value chain, from exploration to production. This move builds on their partnership, which began in 2008, and signals a shift toward using AI at an enterprise scale.

Key Elements Of The AI Factory Partnership
- The AI Factory for Energy is a reference system that uses generative AI - AI that can create new content based on data and identity AI, AI capable of acting and making decisions independently. It operates through SLB's Digital Services, Delfi (a cloud-based platform for oil and gas operations), and Lumi (a digital solution for energy data), and helps energy companies process large amounts of operational data.
- SLB will be the modular design partner for NVIDIA DSX AI factories. Modular design means building data center components off-site in separate sections to be assembled later, which speeds deployment, lowers costs, and helps address labor shortages.
- The partnership will improve AI models and high-performance computing workflows on SLB's design frameworks and digital frameworks. It will use the latest NVIDIA AI infrastructure and software.
Impact On Energy Operations

This joint effort intends to automate and improve several parts of the US and global energy industry, focusing on
- Using AI to improve underground imaging and modeling, including better seismic processing and reservoir simulation.
- Applying generative AI to production operations and data management will turn operational data into useful insights. These insights will lead to cleaner and more optimized energy production.
- The partnership will support sustainability and decarbonization. It will help with carbon capture and reduce the factory's carbon footprint.
Building AI factory infrastructure and domain models is needed to turn massive amounts of energy data into useful insights. These actions will accelerate the development of increasingly efficient and sustainable energy systems, said Vladimir Troy, vice president of AI infrastructure at NVIDIA.

This announcement comes soon after other AI infrastructure updates in the industry. For example, the industry is using NVIDIA's Vera Rubin DSX AI Factory reference design to help AI factories connect to the power grid more quickly, as shared during CeraWeek 2026.

SLB is expanding its partnership with NVIDIA to develop generative AI solutions tailored to the energy industry. This press release features multimedia; the full release is available here. SLB and NVIDIA collaborate to develop generative AI solutions for the energy sector

The collaboration accelerates the creation and use of industry-specific generative AI models across SLB's global platforms, such as Delphi and Lumi. By using NVIDIA NeMo, part of the NVIDIA AI Enterprise software, they can develop custom generative AI that runs in data centers, in the cloud, or at the edge. It will build and optimize models to meet the specific needs and requirements of the data‑intensive energy industry, including subsurface exploration, production operations, and data management. This will help tap into the full potential of generative AI for energy domain experts including researchers, scientists, and engineers — enabling them to interact with complex technical processes in new ways to drive higher-value, lower-carbon outcomes.

As we manage the fragile balance between energy production and decarbonization, generative AI is emerging as an important driver of change, said Olivier Le Peuch, SLB's Chief Executive Officer. Our collaboration with NVIDIA will accelerate the development of specialized generative AI solutions, enabling our customers to improve operations, increase efficiency, and reduce their overall footprint.

AI offers the energy industry an extraordinary tool for sustainability, providing the resource that powers life across our planet. Said Jensen Huang, founder and CEO of NVIDIA, custom models created by SLB using NVIDIA NeMo will give the industry's scientists and engineers new sight. This will speed their work in optimizing energy supplies today and unblocking the clean energy innovations of tomorrow.

SLB and NVIDIA began collaborating in 2008 using graphics processing units, GPUs, for underground imaging and geoscience interpretation. Since then, they have worked closely to improve each generation of SLB's high-performance computing and visualization technologies on the Delphi platform by adding NVIDIA, NeMo, and NIM inference microservices. SLB will give customers a strong platform to use generative AI in their technical work.

The announcement was made at the SLB Digital Forum 2024 held this week in Monaco.

For more information, visit sl.com/nvidiacollaboration.

About SLB

SLB is a global technology company that drives energy innovation toward a balanced climate, with a worldwide reach across more than 100 countries and employees representing almost twice as many nationalities. We work each day to innovate in oil and gas, deliver digital at scale, decarbonize industries, and develop and scale new energy systems that accelerate the energy transition.

Source-  SLB and NVIDIA collaborate to develop generative AI solutions for the energy sector
- AI
  On March 25, 2026, SLB, formerly Schlumberger, and NVIDIA announced they are expanding their partnership to bring artificial intelligence into the energy sector. Together, they plan to develop an AI factory for energy to accelerate AI use across the energy value chain, from exploration to production. This move builds on their partnership, which began in 2008, and signals a shift toward using AI at an enterprise scale.
  
  Key Elements Of The AI Factory Partnership
  - The AI Factory for Energy is a reference system that uses generative AI - AI that can create new content based on data and identity AI, AI capable of acting and making decisions independently. It operates through SLB's Digital Services, Delfi (a cloud-based platform for oil and gas operations), and Lumi (a digital solution for energy data), and helps energy companies process large amounts of operational data.
  - SLB will be the modular design partner for NVIDIA DSX AI factories. Modular design means building data center components off-site in separate sections to be assembled later, which speeds deployment, lowers costs, and helps address labor shortages.
  - The partnership will improve AI models and high-performance computing workflows on SLB's design frameworks and digital frameworks. It will use the latest NVIDIA AI infrastructure and software.
  Impact On Energy Operations
  
  This joint effort intends to automate and improve several parts of the US and global energy industry, focusing on
  - Using AI to improve underground imaging and modeling, including better seismic processing and reservoir simulation.
  - Applying generative AI to production operations and data management will turn operational data into useful insights. These insights will lead to cleaner and more optimized energy production.
  - The partnership will support sustainability and decarbonization. It will help with carbon capture and reduce the factory's carbon footprint.
  Building AI factory infrastructure and domain models is needed to turn massive amounts of energy data into useful insights. These actions will accelerate the development of increasingly efficient and sustainable energy systems, said Vladimir Troy, vice president of AI infrastructure at NVIDIA.
  
  This announcement comes soon after other AI infrastructure updates in the industry. For example, the industry is using NVIDIA's Vera Rubin DSX AI Factory reference design to help AI factories connect to the power grid more quickly, as shared during CeraWeek 2026.
  
  SLB is expanding its partnership with NVIDIA to develop generative AI solutions tailored to the energy industry. This press release features multimedia; the full release is available here. SLB and NVIDIA collaborate to develop generative AI solutions for the energy sector
  
  The collaboration accelerates the creation and use of industry-specific generative AI models across SLB's global platforms, such as Delphi and Lumi. By using NVIDIA NeMo, part of the NVIDIA AI Enterprise software, they can develop custom generative AI that runs in data centers, in the cloud, or at the edge. It will build and optimize models to meet the specific needs and requirements of the data‑intensive energy industry, including subsurface exploration, production operations, and data management. This will help tap into the full potential of generative AI for energy domain experts including researchers, scientists, and engineers — enabling them to interact with complex technical processes in new ways to drive higher-value, lower-carbon outcomes.
  
  As we manage the fragile balance between energy production and decarbonization, generative AI is emerging as an important driver of change, said Olivier Le Peuch, SLB's Chief Executive Officer. Our collaboration with NVIDIA will accelerate the development of specialized generative AI solutions, enabling our customers to improve operations, increase efficiency, and reduce their overall footprint.
  
  AI offers the energy industry an extraordinary tool for sustainability, providing the resource that powers life across our planet. Said Jensen Huang, founder and CEO of NVIDIA, custom models created by SLB using NVIDIA NeMo will give the industry's scientists and engineers new sight. This will speed their work in optimizing energy supplies today and unblocking the clean energy innovations of tomorrow.
  
  SLB and NVIDIA began collaborating in 2008 using graphics processing units, GPUs, for underground imaging and geoscience interpretation. Since then, they have worked closely to improve each generation of SLB's high-performance computing and visualization technologies on the Delphi platform by adding NVIDIA, NeMo, and NIM inference microservices. SLB will give customers a strong platform to use generative AI in their technical work.
  
  The announcement was made at the SLB Digital Forum 2024 held this week in Monaco.
  
  For more information, visit sl.com/nvidiacollaboration.
  
  About SLB
  
  SLB is a global technology company that drives energy innovation toward a balanced climate, with a worldwide reach across more than 100 countries and employees representing almost twice as many nationalities. We work each day to innovate in oil and gas, deliver digital at scale, decarbonize industries, and develop and scale new energy systems that accelerate the energy transition.
  
  Source-  SLB and NVIDIA collaborate to develop generative AI solutions for the energy sector
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On March 25, 2026, SLB, formerly Schlumberger, and NVIDIA announced they are expanding their partnership to bring artificial intelligence into the energy sector. Together, they plan to develop an AI factory for energy to accelerate AI use across the energy value chain, from exploration to production. This move builds on their partnership, which began in 2008, and signals a shift toward using AI at an enterprise scale.

Key Elements Of The AI Factory Partnership
- The AI Factory for Energy is a reference system that uses generative AI - AI that can create new content based on data and identity AI, AI capable of acting and making decisions independently. It operates through SLB's Digital Services, Delfi (a cloud-based platform for oil and gas operations), and Lumi (a digital solution for energy data), and helps energy companies process large amounts of operational data.
- SLB will be the modular design partner for NVIDIA DSX AI factories. Modular design means building data center components off-site in separate sections to be assembled later, which speeds deployment, lowers costs, and helps address labor shortages.
- The partnership will improve AI models and high-performance computing workflows on SLB's design frameworks and digital frameworks. It will use the latest NVIDIA AI infrastructure and software.
Impact On Energy Operations

This joint effort intends to automate and improve several parts of the US and global energy industry, focusing on
- Using AI to improve underground imaging and modeling, including better seismic processing and reservoir simulation.
- Applying generative AI to production operations and data management will turn operational data into useful insights. These insights will lead to cleaner and more optimized energy production.
- The partnership will support sustainability and decarbonization. It will help with carbon capture and reduce the factory's carbon footprint.
Building AI factory infrastructure and domain models is needed to turn massive amounts of energy data into useful insights. These actions will accelerate the development of increasingly efficient and sustainable energy systems, said Vladimir Troy, vice president of AI infrastructure at NVIDIA.

This announcement comes soon after other AI infrastructure updates in the industry. For example, the industry is using NVIDIA's Vera Rubin DSX AI Factory reference design to help AI factories connect to the power grid more quickly, as shared during CeraWeek 2026.

SLB is expanding its partnership with NVIDIA to develop generative AI solutions tailored to the energy industry. This press release features multimedia; the full release is available here. SLB and NVIDIA collaborate to develop generative AI solutions for the energy sector

The collaboration accelerates the creation and use of industry-specific generative AI models across SLB's global platforms, such as Delphi and Lumi. By using NVIDIA NeMo, part of the NVIDIA AI Enterprise software, they can develop custom generative AI that runs in data centers, in the cloud, or at the edge. It will build and optimize models to meet the specific needs and requirements of the data‑intensive energy industry, including subsurface exploration, production operations, and data management. This will help tap into the full potential of generative AI for energy domain experts including researchers, scientists, and engineers — enabling them to interact with complex technical processes in new ways to drive higher-value, lower-carbon outcomes.

As we manage the fragile balance between energy production and decarbonization, generative AI is emerging as an important driver of change, said Olivier Le Peuch, SLB's Chief Executive Officer. Our collaboration with NVIDIA will accelerate the development of specialized generative AI solutions, enabling our customers to improve operations, increase efficiency, and reduce their overall footprint.

AI offers the energy industry an extraordinary tool for sustainability, providing the resource that powers life across our planet. Said Jensen Huang, founder and CEO of NVIDIA, custom models created by SLB using NVIDIA NeMo will give the industry's scientists and engineers new sight. This will speed their work in optimizing energy supplies today and unblocking the clean energy innovations of tomorrow.

SLB and NVIDIA began collaborating in 2008 using graphics processing units, GPUs, for underground imaging and geoscience interpretation. Since then, they have worked closely to improve each generation of SLB's high-performance computing and visualization technologies on the Delphi platform by adding NVIDIA, NeMo, and NIM inference microservices. SLB will give customers a strong platform to use generative AI in their technical work.

The announcement was made at the SLB Digital Forum 2024 held this week in Monaco.

For more information, visit sl.com/nvidiacollaboration.

About SLB

SLB is a global technology company that drives energy innovation toward a balanced climate, with a worldwide reach across more than 100 countries and employees representing almost twice as many nationalities. We work each day to innovate in oil and gas, deliver digital at scale, decarbonize industries, and develop and scale new energy systems that accelerate the energy transition.

Source-  SLB and NVIDIA collaborate to develop generative AI solutions for the energy sector
Buying Guides
On March 25, 2026, SLB, formerly Schlumberger, and NVIDIA announced they are expanding their partnership to bring artificial intelligence into the energy sector. Together, they plan to develop an AI factory for energy to accelerate AI use across the energy value chain, from exploration to production. This move builds on their partnership, which began in 2008, and signals a shift toward using AI at an enterprise scale.

Key Elements Of The AI Factory Partnership
- The AI Factory for Energy is a reference system that uses generative AI - AI that can create new content based on data and identity AI, AI capable of acting and making decisions independently. It operates through SLB's Digital Services, Delfi (a cloud-based platform for oil and gas operations), and Lumi (a digital solution for energy data), and helps energy companies process large amounts of operational data.
- SLB will be the modular design partner for NVIDIA DSX AI factories. Modular design means building data center components off-site in separate sections to be assembled later, which speeds deployment, lowers costs, and helps address labor shortages.
- The partnership will improve AI models and high-performance computing workflows on SLB's design frameworks and digital frameworks. It will use the latest NVIDIA AI infrastructure and software.
Impact On Energy Operations

This joint effort intends to automate and improve several parts of the US and global energy industry, focusing on
- Using AI to improve underground imaging and modeling, including better seismic processing and reservoir simulation.
- Applying generative AI to production operations and data management will turn operational data into useful insights. These insights will lead to cleaner and more optimized energy production.
- The partnership will support sustainability and decarbonization. It will help with carbon capture and reduce the factory's carbon footprint.
Building AI factory infrastructure and domain models is needed to turn massive amounts of energy data into useful insights. These actions will accelerate the development of increasingly efficient and sustainable energy systems, said Vladimir Troy, vice president of AI infrastructure at NVIDIA.

This announcement comes soon after other AI infrastructure updates in the industry. For example, the industry is using NVIDIA's Vera Rubin DSX AI Factory reference design to help AI factories connect to the power grid more quickly, as shared during CeraWeek 2026.

SLB is expanding its partnership with NVIDIA to develop generative AI solutions tailored to the energy industry. This press release features multimedia; the full release is available here. SLB and NVIDIA collaborate to develop generative AI solutions for the energy sector

The collaboration accelerates the creation and use of industry-specific generative AI models across SLB's global platforms, such as Delphi and Lumi. By using NVIDIA NeMo, part of the NVIDIA AI Enterprise software, they can develop custom generative AI that runs in data centers, in the cloud, or at the edge. It will build and optimize models to meet the specific needs and requirements of the data‑intensive energy industry, including subsurface exploration, production operations, and data management. This will help tap into the full potential of generative AI for energy domain experts including researchers, scientists, and engineers — enabling them to interact with complex technical processes in new ways to drive higher-value, lower-carbon outcomes.

As we manage the fragile balance between energy production and decarbonization, generative AI is emerging as an important driver of change, said Olivier Le Peuch, SLB's Chief Executive Officer. Our collaboration with NVIDIA will accelerate the development of specialized generative AI solutions, enabling our customers to improve operations, increase efficiency, and reduce their overall footprint.

AI offers the energy industry an extraordinary tool for sustainability, providing the resource that powers life across our planet. Said Jensen Huang, founder and CEO of NVIDIA, custom models created by SLB using NVIDIA NeMo will give the industry's scientists and engineers new sight. This will speed their work in optimizing energy supplies today and unblocking the clean energy innovations of tomorrow.

SLB and NVIDIA began collaborating in 2008 using graphics processing units, GPUs, for underground imaging and geoscience interpretation. Since then, they have worked closely to improve each generation of SLB's high-performance computing and visualization technologies on the Delphi platform by adding NVIDIA, NeMo, and NIM inference microservices. SLB will give customers a strong platform to use generative AI in their technical work.

The announcement was made at the SLB Digital Forum 2024 held this week in Monaco.

For more information, visit sl.com/nvidiacollaboration.

About SLB

SLB is a global technology company that drives energy innovation toward a balanced climate, with a worldwide reach across more than 100 countries and employees representing almost twice as many nationalities. We work each day to innovate in oil and gas, deliver digital at scale, decarbonize industries, and develop and scale new energy systems that accelerate the energy transition.

Source-  SLB and NVIDIA collaborate to develop generative AI solutions for the energy sector
Comparison
On March 25, 2026, SLB, formerly Schlumberger, and NVIDIA announced they are expanding their partnership to bring artificial intelligence into the energy sector. Together, they plan to develop an AI factory for energy to accelerate AI use across the energy value chain, from exploration to production. This move builds on their partnership, which began in 2008, and signals a shift toward using AI at an enterprise scale.

Key Elements Of The AI Factory Partnership
- The AI Factory for Energy is a reference system that uses generative AI - AI that can create new content based on data and identity AI, AI capable of acting and making decisions independently. It operates through SLB's Digital Services, Delfi (a cloud-based platform for oil and gas operations), and Lumi (a digital solution for energy data), and helps energy companies process large amounts of operational data.
- SLB will be the modular design partner for NVIDIA DSX AI factories. Modular design means building data center components off-site in separate sections to be assembled later, which speeds deployment, lowers costs, and helps address labor shortages.
- The partnership will improve AI models and high-performance computing workflows on SLB's design frameworks and digital frameworks. It will use the latest NVIDIA AI infrastructure and software.
Impact On Energy Operations

This joint effort intends to automate and improve several parts of the US and global energy industry, focusing on
- Using AI to improve underground imaging and modeling, including better seismic processing and reservoir simulation.
- Applying generative AI to production operations and data management will turn operational data into useful insights. These insights will lead to cleaner and more optimized energy production.
- The partnership will support sustainability and decarbonization. It will help with carbon capture and reduce the factory's carbon footprint.
Building AI factory infrastructure and domain models is needed to turn massive amounts of energy data into useful insights. These actions will accelerate the development of increasingly efficient and sustainable energy systems, said Vladimir Troy, vice president of AI infrastructure at NVIDIA.

This announcement comes soon after other AI infrastructure updates in the industry. For example, the industry is using NVIDIA's Vera Rubin DSX AI Factory reference design to help AI factories connect to the power grid more quickly, as shared during CeraWeek 2026.

SLB is expanding its partnership with NVIDIA to develop generative AI solutions tailored to the energy industry. This press release features multimedia; the full release is available here. SLB and NVIDIA collaborate to develop generative AI solutions for the energy sector

The collaboration accelerates the creation and use of industry-specific generative AI models across SLB's global platforms, such as Delphi and Lumi. By using NVIDIA NeMo, part of the NVIDIA AI Enterprise software, they can develop custom generative AI that runs in data centers, in the cloud, or at the edge. It will build and optimize models to meet the specific needs and requirements of the data‑intensive energy industry, including subsurface exploration, production operations, and data management. This will help tap into the full potential of generative AI for energy domain experts including researchers, scientists, and engineers — enabling them to interact with complex technical processes in new ways to drive higher-value, lower-carbon outcomes.

As we manage the fragile balance between energy production and decarbonization, generative AI is emerging as an important driver of change, said Olivier Le Peuch, SLB's Chief Executive Officer. Our collaboration with NVIDIA will accelerate the development of specialized generative AI solutions, enabling our customers to improve operations, increase efficiency, and reduce their overall footprint.

AI offers the energy industry an extraordinary tool for sustainability, providing the resource that powers life across our planet. Said Jensen Huang, founder and CEO of NVIDIA, custom models created by SLB using NVIDIA NeMo will give the industry's scientists and engineers new sight. This will speed their work in optimizing energy supplies today and unblocking the clean energy innovations of tomorrow.

SLB and NVIDIA began collaborating in 2008 using graphics processing units, GPUs, for underground imaging and geoscience interpretation. Since then, they have worked closely to improve each generation of SLB's high-performance computing and visualization technologies on the Delphi platform by adding NVIDIA, NeMo, and NIM inference microservices. SLB will give customers a strong platform to use generative AI in their technical work.

The announcement was made at the SLB Digital Forum 2024 held this week in Monaco.

For more information, visit sl.com/nvidiacollaboration.

About SLB

SLB is a global technology company that drives energy innovation toward a balanced climate, with a worldwide reach across more than 100 countries and employees representing almost twice as many nationalities. We work each day to innovate in oil and gas, deliver digital at scale, decarbonize industries, and develop and scale new energy systems that accelerate the energy transition.

Source-  SLB and NVIDIA collaborate to develop generative AI solutions for the energy sector
News
On March 25, 2026, SLB, formerly Schlumberger, and NVIDIA announced they are expanding their partnership to bring artificial intelligence into the energy sector. Together, they plan to develop an AI factory for energy to accelerate AI use across the energy value chain, from exploration to production. This move builds on their partnership, which began in 2008, and signals a shift toward using AI at an enterprise scale.

Key Elements Of The AI Factory Partnership
- The AI Factory for Energy is a reference system that uses generative AI - AI that can create new content based on data and identity AI, AI capable of acting and making decisions independently. It operates through SLB's Digital Services, Delfi (a cloud-based platform for oil and gas operations), and Lumi (a digital solution for energy data), and helps energy companies process large amounts of operational data.
- SLB will be the modular design partner for NVIDIA DSX AI factories. Modular design means building data center components off-site in separate sections to be assembled later, which speeds deployment, lowers costs, and helps address labor shortages.
- The partnership will improve AI models and high-performance computing workflows on SLB's design frameworks and digital frameworks. It will use the latest NVIDIA AI infrastructure and software.
Impact On Energy Operations

This joint effort intends to automate and improve several parts of the US and global energy industry, focusing on
- Using AI to improve underground imaging and modeling, including better seismic processing and reservoir simulation.
- Applying generative AI to production operations and data management will turn operational data into useful insights. These insights will lead to cleaner and more optimized energy production.
- The partnership will support sustainability and decarbonization. It will help with carbon capture and reduce the factory's carbon footprint.
Building AI factory infrastructure and domain models is needed to turn massive amounts of energy data into useful insights. These actions will accelerate the development of increasingly efficient and sustainable energy systems, said Vladimir Troy, vice president of AI infrastructure at NVIDIA.

This announcement comes soon after other AI infrastructure updates in the industry. For example, the industry is using NVIDIA's Vera Rubin DSX AI Factory reference design to help AI factories connect to the power grid more quickly, as shared during CeraWeek 2026.

SLB is expanding its partnership with NVIDIA to develop generative AI solutions tailored to the energy industry. This press release features multimedia; the full release is available here. SLB and NVIDIA collaborate to develop generative AI solutions for the energy sector

The collaboration accelerates the creation and use of industry-specific generative AI models across SLB's global platforms, such as Delphi and Lumi. By using NVIDIA NeMo, part of the NVIDIA AI Enterprise software, they can develop custom generative AI that runs in data centers, in the cloud, or at the edge. It will build and optimize models to meet the specific needs and requirements of the data‑intensive energy industry, including subsurface exploration, production operations, and data management. This will help tap into the full potential of generative AI for energy domain experts including researchers, scientists, and engineers — enabling them to interact with complex technical processes in new ways to drive higher-value, lower-carbon outcomes.

As we manage the fragile balance between energy production and decarbonization, generative AI is emerging as an important driver of change, said Olivier Le Peuch, SLB's Chief Executive Officer. Our collaboration with NVIDIA will accelerate the development of specialized generative AI solutions, enabling our customers to improve operations, increase efficiency, and reduce their overall footprint.

AI offers the energy industry an extraordinary tool for sustainability, providing the resource that powers life across our planet. Said Jensen Huang, founder and CEO of NVIDIA, custom models created by SLB using NVIDIA NeMo will give the industry's scientists and engineers new sight. This will speed their work in optimizing energy supplies today and unblocking the clean energy innovations of tomorrow.

SLB and NVIDIA began collaborating in 2008 using graphics processing units, GPUs, for underground imaging and geoscience interpretation. Since then, they have worked closely to improve each generation of SLB's high-performance computing and visualization technologies on the Delphi platform by adding NVIDIA, NeMo, and NIM inference microservices. SLB will give customers a strong platform to use generative AI in their technical work.

The announcement was made at the SLB Digital Forum 2024 held this week in Monaco.

For more information, visit sl.com/nvidiacollaboration.

About SLB

SLB is a global technology company that drives energy innovation toward a balanced climate, with a worldwide reach across more than 100 countries and employees representing almost twice as many nationalities. We work each day to innovate in oil and gas, deliver digital at scale, decarbonize industries, and develop and scale new energy systems that accelerate the energy transition.

Source-  SLB and NVIDIA collaborate to develop generative AI solutions for the energy sector
Contact
On March 25, 2026, SLB, formerly Schlumberger, and NVIDIA announced they are expanding their partnership to bring artificial intelligence into the energy sector. Together, they plan to develop an AI factory for energy to accelerate AI use across the energy value chain, from exploration to production. This move builds on their partnership, which began in 2008, and signals a shift toward using AI at an enterprise scale.

Key Elements Of The AI Factory Partnership
- The AI Factory for Energy is a reference system that uses generative AI - AI that can create new content based on data and identity AI, AI capable of acting and making decisions independently. It operates through SLB's Digital Services, Delfi (a cloud-based platform for oil and gas operations), and Lumi (a digital solution for energy data), and helps energy companies process large amounts of operational data.
- SLB will be the modular design partner for NVIDIA DSX AI factories. Modular design means building data center components off-site in separate sections to be assembled later, which speeds deployment, lowers costs, and helps address labor shortages.
- The partnership will improve AI models and high-performance computing workflows on SLB's design frameworks and digital frameworks. It will use the latest NVIDIA AI infrastructure and software.
Impact On Energy Operations

This joint effort intends to automate and improve several parts of the US and global energy industry, focusing on
- Using AI to improve underground imaging and modeling, including better seismic processing and reservoir simulation.
- Applying generative AI to production operations and data management will turn operational data into useful insights. These insights will lead to cleaner and more optimized energy production.
- The partnership will support sustainability and decarbonization. It will help with carbon capture and reduce the factory's carbon footprint.
Building AI factory infrastructure and domain models is needed to turn massive amounts of energy data into useful insights. These actions will accelerate the development of increasingly efficient and sustainable energy systems, said Vladimir Troy, vice president of AI infrastructure at NVIDIA.

This announcement comes soon after other AI infrastructure updates in the industry. For example, the industry is using NVIDIA's Vera Rubin DSX AI Factory reference design to help AI factories connect to the power grid more quickly, as shared during CeraWeek 2026.

SLB is expanding its partnership with NVIDIA to develop generative AI solutions tailored to the energy industry. This press release features multimedia; the full release is available here. SLB and NVIDIA collaborate to develop generative AI solutions for the energy sector

The collaboration accelerates the creation and use of industry-specific generative AI models across SLB's global platforms, such as Delphi and Lumi. By using NVIDIA NeMo, part of the NVIDIA AI Enterprise software, they can develop custom generative AI that runs in data centers, in the cloud, or at the edge. It will build and optimize models to meet the specific needs and requirements of the data‑intensive energy industry, including subsurface exploration, production operations, and data management. This will help tap into the full potential of generative AI for energy domain experts including researchers, scientists, and engineers — enabling them to interact with complex technical processes in new ways to drive higher-value, lower-carbon outcomes.

As we manage the fragile balance between energy production and decarbonization, generative AI is emerging as an important driver of change, said Olivier Le Peuch, SLB's Chief Executive Officer. Our collaboration with NVIDIA will accelerate the development of specialized generative AI solutions, enabling our customers to improve operations, increase efficiency, and reduce their overall footprint.

AI offers the energy industry an extraordinary tool for sustainability, providing the resource that powers life across our planet. Said Jensen Huang, founder and CEO of NVIDIA, custom models created by SLB using NVIDIA NeMo will give the industry's scientists and engineers new sight. This will speed their work in optimizing energy supplies today and unblocking the clean energy innovations of tomorrow.

SLB and NVIDIA began collaborating in 2008 using graphics processing units, GPUs, for underground imaging and geoscience interpretation. Since then, they have worked closely to improve each generation of SLB's high-performance computing and visualization technologies on the Delphi platform by adding NVIDIA, NeMo, and NIM inference microservices. SLB will give customers a strong platform to use generative AI in their technical work.

The announcement was made at the SLB Digital Forum 2024 held this week in Monaco.

For more information, visit sl.com/nvidiacollaboration.

About SLB

SLB is a global technology company that drives energy innovation toward a balanced climate, with a worldwide reach across more than 100 countries and employees representing almost twice as many nationalities. We work each day to innovate in oil and gas, deliver digital at scale, decarbonize industries, and develop and scale new energy systems that accelerate the energy transition.

Source-  SLB and NVIDIA collaborate to develop generative AI solutions for the energy sector

Harish Shenoy

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Harish Shenoy | Technology Journalist Harish Shenoy is a veteran technology journalist at Xthe with over 21 years of experience spanning tech, health, finance, and future technology. Specializing in semiconductor roadmaps, enterprise AI infrastructure, and consumer hardware, his reporting is driven by primary-source verification and official corporate disclosures. With more than a decade of focused writing across the US, UK, Australia, Canada, and India, Harish maintains a strict commitment to factual, non-sensationalized reporting on the economic and logistical shifts within the global tech sector. His current work centers on the technical evolution of "agentic AI" and next-generation silicon.

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