SLB and NVIDIA Team Up for Generative AI in Energy | Llm meaning tech | Large language models books | Openai | Turtles AI

SLB and NVIDIA are collaborating to develop advanced generative AI solutions for the energy sector. The goal is to improve operational efficiency, optimize decision-making, and reduce carbon emissions by leveraging SLB’s technology platforms, including Delfi and Lumi, along with NVIDIA NeMo software.

Key Points:

• SLB uses NVIDIA’s NeMo platform for generative AI in energy. 
• Custom AI models improve data analytics and decision making. 
• Expanded collaboration with Dell for high-performance computing (HPC) solutions. 
• New AI applications in seismic and software optimization.

SLB, a global leader in energy technology, today announced the further expansion of its partnership with NVIDIA to develop generative AI solutions to address industry challenges. The collaboration focuses on integrating energy industry-specific AI models across multiple SLB platforms, including Delphi, its flagship digital platform, and Lumi, its new data and AI platform. NVIDIA NeMo software, part of the NVIDIA AI Enterprise suite, is used to create highly customized generative AI solutions designed to run in complex environments, from the data center to the cloud to the edge. The partnership aims to develop and optimize AI models that can address the needs of the data-intensive energy sector, covering applications ranging from power plant planning to production operations and data management. The primary goal is to make generative AI easier for professionals such as researchers, scientists, engineers and IT technicians to use. These new tools will enable them to address complex technical processes in innovative ways, resulting in more effective and sustainable outcomes across the energy value chain.

The collaboration between SLB and NVIDIA is not new. The two companies began working together in 2008, when SLB first leveraged NVIDIA GPUs for subsurface imaging and reservoir simulation applications. Over the years, the synergy has strengthened, with SLB progressively optimizing its high-performance computing (HPC) technologies, now integrated into the Delphi platform, supported by the latest generation of NVIDIA solutions. In addition to working directly with NVIDIA, SLB has extended the collaboration to Dell Technologies to provide HPC and AI solutions to its energy customers, with key applications in Intersect, Omega and Delphi.

One of the latest developments is the creation of seismic base models specifically for the energy industry, designed to improve the interpretation of seismic data and speed up processing in exploration geophysics. In parallel, SLB is working on an AI co-pilot based on a large linguistic model (LLM), trained on the company’s internal data, to assist its customers and engineers in improving the use of software tools. The use of generative AI also allows for faster strategic decisions, thanks to the ability to run multiple AI models at the same time, thus providing accurate and real-time information to company managers.

In the context of the current needs of the energy sector, generative AI represents an important resource to improve the efficiency of exploration, production and distribution operations, while helping to reduce carbon emissions. SLB leverages the NVIDIA NeMo platform and NIM microservices to develop custom AI models that help manage enterprise data more effectively and generate deep insights into understanding the subsurface. These solutions promise to bring significant added value, both in terms of operational efficiency and innovation, by providing industry professionals with the tools to optimize resources and accelerate decision-making.

SLB and NVIDIA’s commitment to increasing the use of generative AI is aimed at ensuring that the energy sector can successfully address the challenges of the transition to a more sustainable and technologically advanced future.