NVIDIA Partners in Energy
Discover NVIDIA Partners Accelerating the Digital Transformation of Energy
Our industry partners are experts who support the evolution of your enterprise AI and high-performance computing capabilities, whether on premises, in the cloud, or on hybrid infrastructure.
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Independent Software Vendor
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Cloud Service Provider
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System Builder
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Consulting and Service Provider
Trailblazing AI Energy Startups
More than 400 AI startups in energy worldwide are in the NVIDIA Inception program, accelerating innovation and the transition to clean energy. The program offers a wide range of benefits to support all stages of a startup’s lifecycle.
NVIDIA Partner Network
The NVIDIA Partner Network (NPN) is a comprehensive ecosystem of technology experts with the advanced skills to design, build, and deliver the AI-accelerated computing solutions that meet the demanding needs of your business.
Shearwater GeoServices is optimizing their Reveal seismic processing software for NVIDIA GPUs to help energy companies enhance seismic data and efficiently run compute-intensive seismic imaging algorithms.
Shearwater
GPU–Accelerated Seismic Processing
Shearwater is working with NVIDIA to port and optimize Shearwater Reveal’s most compute-intensive core algorithms to the NVIDIA® CUDA® accelerated computing platform and programming model. This helps oil and gas customers achieve a 10X speedup and reduce power requirements to run subsurface workloads.
Results:
- 10X acceleration of reverse time migration (RTM) and Kirchhoff depth migration
- Reduced energy consumption to run key seismic processing workloads
Technologies:
- NVIDIA A100 Tensor Core GPUs
- NVIDIA GH200 Grace Hopper™ Superchip
- CUDA
Resources
CPFD Software is advancing multiphase simulation and technology. Their flagship product, Barracuda Virtual Reactor, is a physics-based engineering software package capable of predicting fluid, particulate-solid, thermal, and chemically reacting behavior in fluidized bed reactors and other fluid-particle systems. This helps reduce the risks associated with the design, scale-up, commercialization, and trouble-shooting of industrial processes.
CPFD
Risk Reduction for Refinery Operators
Fluidized catalytic cracking units (FCCU) are at the heart of modern refineries, processing a wide variety of feedstocks into fuels and chemicals. FCCUs operate 24/7 for years on end, so small improvements in reliability and performance have a tremendous economic impact. CFPD’s Barracuda Virtual Reactor simulation software reduces a refiner’s risk when making changes to the FCCU and enables technology providers to bring new solutions to market faster at lower total cost.
Results:
- Technology licensors are able to cut their physical testing costs by up to 50 percent
- Barracuda Virtual Reactor extends run lengths by minimizing unexpected shutdowns and maximizes run lengths between turnarounds, preventing $1 million per day in lost production.
- It reduces risk of changes by addressing industrial issues that cost “tens of thousands of dollars per day.”
Technologies:
- NVIDIA DGX™ A100, H100
- NVIDIA DGX V100, NVIDIA RTX™ 6000
- NVIDIA® CUDA®
- NVIDIA CUDA-X™
Decarbonization and Sustainability for Fluidized Bed Processes
Fluidized bed processes are at the heart of myriad sustainability and decarbonization applications, such as the chemical recycling of plastics, biofuels, waste-to-energy/fuels/chemicals processes, carbon capture, and the hydrogen economy. Barracuda Virtual Reactor leverages NVIDIA GPU and multi-GPU parallelization to enable and reduce the time to market for multiple sustainability technologies that are changing our planet for the better.
Results:
- Companies are able to cut their physical resting costs by up to 50 percent.
- Barracuda Virtual Reactor has been used to cut time to market by months or even years
- Clients leveraging Barracuda Virtual Reactor in their commercialization pathway regularly outperform their peers.
Technologies:
- NVIDIA DGX™ A100, H100
- NVIDIA DGX V100, RTX6000
- NVIDIA® CUDA®
- NVIDIA CUDA-X™
- NVIDIA HPC SDK
Resources
Risk Reduction for Refinery Operators
Decarbonization and Sustainability for Fluidized Bed Processes
Domino Data Lab’s enterprise MLOps platform democratizes GPU access, accelerates research, speeds model deployment, and increases collaboration for code-first data science teams—at scale.
Domino Data Lab
Utilities and Logistics Automation
Data analytics teams are developing AI models to automate power plant and oil rig inspections, optimize fuel shipping, forecast energy demand, and manage distributed energy resources. AES, a leading energy company, built and deployed over 50 AI models in two years using Domino Data Lab to optimize liquid gas shipping and logistics, predict power generation equipment maintenance, guide fintech energy trades, make hydrology predictions, and more.
Results:
- Deployed over 50 AI models in production
- Able to monitor for model drift and retrain when necessary
- Broke down data silos and allowed for greater collaboration
Technologies:
- NVIDIA AI Enterprise
- NVIDIA Certified-Systems™
- NVIDIA DGX™ Systems
- NVIDIA virtual GPU (vGPU)
- NVIDIA GPU Operator
- NVIDIA Triton™ Inference Server
- NVIDIA RAPIDS™
- NVIDIA® NGC™
Resources
Stone Ridge Technology developed the ECHELON software, a unique and powerful reservoir simulator created for NVIDIA GPUs and the new era of massively parallel computing.
Stone Ridge Technology
Accelerate Reservoir Simulation Through GPU Capabilities
Reservoir engineers struggle with long runtimes for their simulation models. This limitation has shaped workflows by discouraging the use of fine-scale grids, ensemble methodologies, and more advanced physical models. Stone Ridge Technology developed ECHELON, the world’s fastest reservoir simulation software, to overcome this bottleneck by harnessing the massive parallelism of NVIDIA GPUs with advanced proprietary numerical algorithms and software architecture.
Results:
- ECHELON is the first commercial reservoir simulation software created from inception for the accelerated computing era led by NVIDIA GPUs.
- ECHELON is more than one order of magnitude faster than legacy simulators and several-fold faster than other modern simulators.
- ECHELON’s performance has increased with each successive generation of NVIDIA GPUs
- ECHELON rapidly runs large ensembles of models concurrently on a single GPU and models as large as one billion cells across multiple GPUs on multiple nodes.
Technologies:
- NVIDIA A100 40GB Tensor Core GPUs
- NNVIDIA V100 Tensor Core GPUs on Eni’s HPC5 Cluster
Resources
CGG is a global technology and high-performance computing (HPC) company that provides data, products, services, and solutions in earth science, data science, sensing, and monitoring to advance a sustainable future.
CGG
AI and HPC for Geoscience
CGG is using machine learning at the edge for seismic interpretation workflows. Using deep learning, CGG can interpret terabyte-sized seismic datasets and determine subsurface features, such as salt body interpretation and oil and gas deposits.
CGG generates detailed, data-driven models of the subsurface with full-waveform inversion, ocean-bottom node data, least-squares migration, time-lapse 4D seismic imaging, and internal multiple attenuation.
Results:
- 200X speedup in seismic interpretation compared to CPU-only solutions
Technologies:
- NVIDIA® Quadro® GV100 GPU
- NVIDIA P40 GPU
- NVIDIA M60 GPU
- NVIDIA virtual GPU (vGPU)
Resources
SLB Intersect high-resolution reservoir simulator, reveals new insights through the efficient simulation of high-resolution models and, by employing robust physics, supports better field development decisions.
SLB
High-Resolution Reservoir Simulation
The Intersect simulator combines physics and performance in a high-resolution reservoir simulator. The performance of single-node servers powered by NVIDIA A100 80GB Tensor Core GPUs, compared to servers powered by CPUs, yields impressive generational performance uplifts. Some of the key benefits include high-resolution modeling for complex geological structures, completion configurations for complex wells, and detailed chemical-enhanced-oil-recovery (EOR) formulations.
Results:
- Up to a 4.5X speedup on the full simulation of INTERSECT simulator, black oil model with 2.3 million cells
- Up to 5.7X higher throughput with NVIDIA Multi-Instance GPU (MIG) and 7.5X higher throughput with Multi-Process Service (MPS) on the full simulation of a black oil model with 2.3 million cells
- Up to a 3.7X speedup on the full simulation of a black oil model with 575,000 cells
Technologies:
- NVIDIA A100 Tensor Core GPUs
Resources
AWS has the largest and most dynamic community, with millions of active customers and tens of thousands of partners globally. Customers across virtually every industry and of every size, including startups, enterprises, and public sector organizations, are running every imaginable use case on AWS.
AWS
Accelerating the Energy Transition From the Cloud
AWS is accelerating the energy transition by delivering energy efficiently, reliably, sustainably, and responsibly. AWS brings advanced and secure cloud services and deep industry expertise across energy, utilities, and sustainable energy sectors. With a broad energy partner ecosystem, AWS empowers energy leaders to improve performance, accelerate innovation, transform the customer experience, maximize safety and security, and minimize their carbon footprint.
Resources
Using Azure can be up to 93 percent more energy efficient than using traditional enterprise data centers. Optimize energy costs by migrating to an energy-efficient cloud infrastructure.
Microsoft Azure
Advancing Subsurface Understanding and Renewables
Azure helps energy companies meet the rising demand for safe and reliable sources of energy with robust security and an industry-leading comprehensive compliance portfolio. Leverage new data and accelerated computing technologies to enable innovation, improve operational efficiency, and accelerate energy transition opportunities. Azure lets enterprises optimize everything from field work to customer experiences to speed response rates and reduce costs.
Resources
Oracle Cloud Infrastructure (OCI) Compute provides bare-metal and virtual machine instances powered by NVIDIA GPUs for a variety of use cases, including mainstream graphics and videos as well as the most demanding AI training and high-performance computing workloads.
Oracle Cloud Infrastructure
Enhancing Utilities with Accelerated Computing
Oracle Cloud Infrastructure lets utilities thrive in a sustainable, affordable energy and water future. With cloud computing, utilities can deliver outstanding customer experiences, improve energy efficiency, and manage networks and assets to deliver essential energy and water services to homes and businesses every day.
Resources
Dell Technologies and NVIDIA offer AI solutions to accelerate digital transformation through real-time data that improves key decision-making.
Dell Technologies
Bringing Generative AI to Enterprises
Dell Technologies and NVIDIA deliver simplified, high-performance, AI-ready solutions with deep AI expertise. Dell and NVIDIA enable utilities to improve reliability, resiliency, and operational efficiency through standard operational platforms. Oil and gas enterprises can enhance energy efficiency, advance the energy transition, and accelerate the path to a low-carbon future using accelerated computing.
Resources
Risk Reduction for Refinery Operators
Eviden is helping energy companies streamline and digitize operations by utilizing digital twins, cloud, edge computing, and AI to proactively analyze and address common maintenance issues before they occur, increase asset availability, enable remote accessibility, and enhance workforce safety.
Eviden, an Atos Group Company
Solving Grand Challenges With Exascale Computing
Eviden and NVIDIA are building next-generation supercomputers for key high-performance computing (HPC) and artificial intelligence workloads—enabling enterprises to solve grand challenges in exascale computing in climate, healthcare, and more with enhanced energy efficiency.
Resources
HPE and NVIDIA have come together to help businesses unlock the power of AI, delivering an end-to-end enterprise platform optimized for AI workloads on a consumption-based model using HPE GreenLake for NVIDIA AI Enterprise. The platform is deployed on industry-leading HPE servers that are certified by NVIDIA to accelerate the speed at which developers can build AI and high-performance data analytics.
HPE
AI-Powered Supercomputers for Energy Enterprises
HPE powers 100 of the world's top 500 most powerful supercomputers, including some of the largest energy companies and research labs. This includes Perlmutter, Polaris, Trinity (U.S. Department of Energy), Discovery 5 (ExxonMobil), Dammam-7, Ghawar-1, Unizah-II (Saudi Aramco), HPC4 (Eni), and more.
Resources
Supermicro delivers one of the broadest selections of NVIDIA-Certified Systems™, providing the most performance and efficiency with unified AI training clusters—from small to massive—featuring NVIDIA H100 and H200 Tensor Core GPUs, as well as the L40S GPU for unparalleled AI and graphics performance.
Supermicro
GPU-Powered Servers for AI, Deep Learning, and HPC
Supermicro is a global leader in the design and manufacturing of energy-efficient building blocks motherboard design, system configuration, fully integrated rack, and liquid cooling systems for enterprises looking to accelerate and scale HPC workloads. This includes tailored solutions for oil and gas exploration and production to reduce costs, enhance accuracy, and accelerate subsurface understanding.
Resources
Deloitte is at the forefront of pioneering efforts to transform data processing, analytics, and AI. Deloitte uses GPU-enabled technology to generate meaningful insights, co-innovate with their clients, and develop novel solutions that get to the heart of business challenges. Together, Deloitte and NVIDIA can help businesses seize opportunities only enabled with an accelerated AI platform.
Deloitte
Transforming Energy, Resources, and Industrial
Deloitte is powering energy innovation across chemicals and specialty materials, engineering and construction, industrial manufacturing, mining and metals, oil and gas, power and utilities, and renewable energy. The alliance with Deloitte and NVIDIA helps organizations access market-leading accelerated computing power and create deep learning models that can deliver new capabilities, value, and a competitive advantage.
Resources
As an Elite Service Delivery Partner, Quantiphi can help customers move from initial exploration activities all the way through to the end consumer. Their innovative solutions optimize exploration, improve safety, enable faster decisions, reduce manual effort, and increase operational efficiency throughout the value chain. With an ever-growing pool of over 440+ NVIDIA Deep Learning Institute (DLI)-certified professionals, Quantiphi specialize in crafting tailored applications to suit specific business needs. Their goal is to deliver customizable solutions that enhance efficiency, reduce costs, and elevate overall customer satisfaction.
Quantiphi
Fueling Enterprises With Data-Driven AI
Quantiphi uses deep learning, statistical machine learning, and data solutions to accelerate performance for energy use cases such as predictive maintenance in oil rigs, seismic image resolution enhancement, 3D image segmentation, and intelligent engineering document compliance.
Resources
SoftServe builds high-standard solutions for the energy, oil, and gas industry—from AI solutions that empower intelligent oil and gas exploration, to subsurface data management and processing solutions, to AI-driven production automation and optimization.
SoftServe
Powering Digital Transformation Across Energy Value Chain
SoftServe helps tackle some of the most pressing challenges in the oil and gas industry, from reducing methane emissions to ensuring asset integrity, from subsurface data management to optimizing artificial lift systems. Their partnership helps utilities adapt to the new era of electrification and distributed energy resources (DERs), equipping them with the necessary tools to navigate the intricacies of integrating renewable energy.