From purpose-built industry applications to on-prem and cloud solutions, the NVIDIA partner ecosystem has the expertise to help you get started and scale your business.
Tested and validated for performance by NVIDIA, these applications have been designed to solve the most vexing challenges in key industry segments. Browse NVIDIA Partner Network (NPN) ISV Preferred Partners below to learn more.
CPFD - Virtual Reactor Refining
A fluid catalytic cracking unit (FCCU) is critical to the performance of many refineries. FCCUs provide the flexibility to process a wide variety of feedstocks with customizable selectivity, producing a wide range of products.
CPFD - Virtual Reactor Renewables
Barracuda Virtual Reactor simulation is accelerating innovation in sustainability, renewables, and decarbonization applications.
Domino Data Lab
Domino Data Lab unleashes data science innovation with open and flexible model development, training, and management free of DevOps constraints
Fotech LivePIPE II
Fotech’s LivePIPE® II delivers a data-centric, proactive monitoring solution for pipeline infrastructure, ensuring real-time detection of risks from digging, vehicles, and unauthorized access.
Fotech LiveDETECT II
LiveDETECT II® delivers a data-centric, proactive monitoring solution, ensuring the integrity and security of subsea, inter-array cables.
Stone Ridge Technology
Stone Ridge Technology’s reservoir simulation software, ECHELON, enables the fastest industry simulation runtimes by optimally using the massive parallelism of NVIDIA GPUs.
CPFD Software is advancing multiphase simulation 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–reducing the risk associated with design, scale-up, commercialization, and trouble-shooting of industrial processes.
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. CPFD’s Barracuda Virtual Reactor software is used to address FCCU-specific issues, such as afterburn, emissions, catalyst losses, erosion/reliability, catalyst circulation stability, gas/catalyst maldistribution, pressure balance issues, feed distribution, riser performance, throughput limitations, and the effects of co-processing renewable feedstocks. Virtual Reactor simulation 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.
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NVIDIA Technologies:
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—reducing the risk associated with the design, scale-up, commercialization, and trouble-shooting of industrial 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. Engineers, researchers, and innovators are urgently working to scale existing technology and develop new approaches to address some of our planet’s most pressing challenges. Barracuda Virtual Reactor simulation 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.
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.
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 2 years to optimize liquid gas shipping and logistics, predict when power generation equipment will need maintenance, guide fintech energy trades, make hydrology predictions, inform bids on power generation facilities, provide weather forecasting for utilities, and more. The company’s cloud infrastructure supports the diverse needs of data scientists, providing access to NVIDIA GPU-accelerated compute resources and tools within a centralized Domino Data Lab platform for frictionless enterprise MLOps.
Fotech manufactures and deploys advanced fiber optic sensing and edge AI solutions that automate business-critical asset monitoring activities. Their solutions allow customers to assess the real-time activity along an asset and make informed decisions about their response strategy.
Maintaining the integrity and security of pipeline infrastructure comes at a high cost to pipeline owners and operators. LivePIPE® II delivers a fully integrated and networked sensing solution, based on the world’s most advanced fiber optic distributed acoustic sensor (DAS), machine learning (ML), and AI technology. DAS can detect and locate pipeline leaks and intrusions faster and more accurately than legacy systems, simultaneously in multiple locations. Using the NVIDIA Jetson™ edge AI platform and NVIDIA CUDA®, Fotech is able to collect, label, and process up to 600MB of raw data per second to train and deploy AI models at the edge for inference. This increases DAS sensitivity to accurately detect leaks and intrusions, reduces false positives, and auto-generates alerts.