Learn how AI is accelerating reservoir simulation and seismic processing, enhancing pipeline monitoring, and protecting worker health and safety, while reducing emissions and environmental impact.
Fuel Innovation in Energy
Deliver a reliable supply of lower-cost fuels and power, while optimizing energy efficiency.
Powering the Future of Energy With AI and High-Performance Computing
To meet global demands, energy companies are turning to a software-defined approach to explore, produce, transport, and deliver lower-cost energy while pursuing net-zero emission goals. They’re leveraging AI and high-performance computing (HPC) to reduce environmental impact from subsurface operations, automate manually intensive surface operations, and bring real-time intelligence to the grid edge.
Use Cases
Discover How the Energy Industry Is Using AI and HPC
Oil and Gas Operations
Accelerate reservoir simulation and seismic processing for fuel production.
Surface Operations
Build industrial and scientific digital twins for sustainability and safety.
Power and Utilities
Enhance power generation, transmission, and distribution for grid resiliency.
Success Stories
See the Real-World Impact of AI in Energy
Learn from industry leaders using AI to optimize processes, reduce risk, and trim costs.
Accelerating Pseudo-Spectral-Based Reverse Time Migration Applications
See how BP achieved 35X runtime speedups by porting their production reverse time migration (RTM) code onto NVIDIA HGX™ A100 and leveraging the cuFFT library.
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Visualizing Large-Scale, Super-Resolution Core Samples
Explore how Chevron utilized NVIDIA IndeX®, a 3D volumetric interactive visualization SDK, in Microsoft Azure to streamline analysis of core samples—in larger volumes and at higher resolution.
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Stone Ridge Technology Boosts ECHELON by 3.8x on NVIDIA GPUs
Stone Ridge Technology benchmarked their ECHELON reservoir simulation software on the NVIDIA Hopper GPU architecture, including the NVIDIA Grace Hopper Superchip, H100-NVL, and H100-PCIe. Learn how the company achieved up to 3.8x faster simulations with up to 25-million cell models.
Developing Power Plant Digital Twins to Save Billions Annually
Learn how global energy companies such as Siemens Energy are building industrial digital twins to support predictive maintenance at power plants and how that could save the energy industry an estimated $1.7 billion a year.
Edge Computing Monitors Millions of Utility Poles for Needed Repairs
Take a look at FirstEnergy’s onboard smart camera system—developed by Noteworthy AI and powered by the NVIDIA® Jetson™ edge AI platform—which automatically monitors millions of utility poles and tens of millions of grid devices for maintenance.
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News and Events
NVIDIA Announces Omniverse Real-Time Physics Digital Twins With Industry Software Leaders
A new blueprint for interactive virtual wind tunnels enables unprecedented computer-aided engineering exploration for Altair, Ansys, Cadence, Siemens, and more.
Accelerating SLB INTERSECT up to 11X With NVIDIA GPUs
Systems powered by NVIDIA A100 80GB Tensor Core GPUs demonstrate superb performance uplifts compared to CPU performance running SLB’s INTERSECT high-resolution reservoir simulator.
Shearwater Accelerates Seismic Processing With NVIDIA Grace Hopper Superchip
Shearwater is expanding its collaboration with NVIDIA to innovate subsurface processing and imaging with higher performance-per-watt, energy efficiency, and fewer emissions with the NVIDIA Grace Hopper™ Superchip.
Utilidata Partners With Aclara to Bring Distributed AI to the Grid Edge
Aclara will be the first company to embed Utilidata’s distributed AI platform, Karman, in a smart meter to enable a connected grid that delivers clean and reliable energy. Built on a custom NVIDIA module that leverages AI, Karman captures robust, high-quality data to improve grid operations and manage distributed energy resources.
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Introducing NVIDIA DGX Spark
DGX Spark brings the power of NVIDIA Grace Blackwell™ to developer desktops. The GB10 Superchip, combined with 128 GB of unified system memory, lets AI researchers, data scientists, and students work with AI models locally with up to 200 billion parameters.
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Powering the Future of Clean Energy | I Am AI
To manage renewable energy at scale, NVIDIA and its ecosystem of partners are using AI to optimize solar and wind farms, simulate climate and weather, maintain power grids, advance carbon capture, and power fusion breakthroughs.
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