By Mukundan Sivaraj · AIM Media House
SLB expanded its collaboration with NVIDIA to develop AI infrastructure and domain-specific models for the energy industry, extending the partnership into large-scale deployment systems.
The companies will focus on modular data center design, an “AI Factory for Energy,” and accelerated computing across SLB’s digital platforms. SLB will serve as the modular design partner for NVIDIA’s DSX AI factories, using offsite manufacturing to reduce costs, labor constraints, and deployment timelines.
This method enables faster addition of data center capacity as demand increases. The companies will also develop a reference environment combining generative AI models and agentic AI systems on SLB’s Delfi and Lumi platforms.
These systems are intended to process operational data across subsurface, production, and energy infrastructure systems. NVIDIA has introduced “ AI factories ” as systems designed to support the training and deployment of AI models at scale, integrating compute infrastructure and software.
The company has also released the Omniverse DSX blueprint, a reference architecture for building large-scale AI infrastructure using standardized components.
NVIDIA has announced similar collaborations with industrial companies including Siemens and Dassault Systèmes, focused on applying AI systems and simulation tools in manufacturing and design workflows.
AI data centers require continuous, high-capacity power supply, and infrastructure planning is increasingly tied to energy availability and grid capacity.
Energy companies generate large volumes of operational data across exploration, production, and infrastructure systems, which can be distributed across multiple platforms and slow to process.
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