Due to the widening chip crisis and the resulting, significant price increases of the major IT manufacturers, online price calculations are currently not possible. We therefore point out that price inquiries via our website may differ from the final offer!
These cookies are necessary for the basic functions of the shop.
"Allow all cookies" cookie
"Decline all cookies" cookie
Matches with only "firstvisit"
These cookies are used to make the shopping experience even more appealing, for example for the recognition of the visitor.
Energy touches every aspect of modern society and can impact the global economy as well as improve the lives of individuals. Today, the industry faces challenges in exploring new resources, reducing costs, continuing to provide security for workers and communities, and ensuring reliable delivery to customers. In response, leading companies are using NVIDIA technologies to accelerate energy production, increase resource utilisation, optimise petroleum refining and distribution, and reduce environmental impact.
GAINING VALUE FROM DATA
Turn massive amounts of data from routine upstream operations, pipeline and refinery sensors, and maintenance processes into actionable insights using NVIDIA AI tools.
EXPERIENCE COMPUTING WITH SUPERTURBO
Accelerate geophysical and engineering applications with high-performance computing, whether locally in your data centre or in the cloud.
PROTECT HEALTH AND THE ENVIRONMENT
Ensure personal protective equipment (PPE) protocols are followed and safety hazards are identified by using AI to monitor equipment, predict and detect failures, and save lives.
PROCESS OPTIMISATION IN THIS INDUSTRY
RESEARCH AND PRODUCTION
"The GPU NVIDIA platforms are instrumental in supporting Eni's research activities and improve our ability to implement more complex seismic imaging tasks in less time and with higher accuracy."
– Luca Bertelli, Chief Exploration Officer by Eni
SEISMIC DATA PROCESSING
Whether you are using Reverse Time Migration (RTM), Kirchhoff or Full Waveform Inversion (FWI) algorithms: Processing seismic data on NVIDIA GPUs can reduce the time it takes to find oil deposits by processing seismic data up to 5 times faster than CPUs alone. NVIDIA GPUs enable geophysicists processing seismic surveys to apply advanced filters and interpret results in the most complex data sets.
Whether you use a local workstation or a virtual desktop, NVIDIA professional visualisation solutions increase visualisation throughput and high computational performance. NVIDIA Quadro® improves 3D seismic trace attribute calculation and visual analysis of regional basins right at the evaluator's desktop.
Maximise reservoir performance with the most advanced modelling and simulation technology. NVIDIA GPUs with CUDA® software run processes faster and reduce model processing turnaround times, so researchers get the most value in the least amount of time.
HEALTH, SAFETY AND THE ENVIRONMENT
Protecting employees, contractors and the environment is the most important mission of energy companies today. Using NVIDIA Metropolis, companies can make their drilling rigs safer and smarter by applying Deep Learning to video streams for applications such as employee safety, traffic management and resource optimisation.
Use Big Data and AI systems to optimise how you fill a pipeline, detect corrosion and thus potential leaks, and automate ultrasonic flow meters to increase throughput. These technologies can also be used to monitor the location of shipments and verify their safety.
Other applications include demand forecasting to optimise commodity trading, transportation and pipeline capacity.
"Using deep learning and machine learning algorithms, oil and gas companies can determine how best to optimise their processes as conditions change."
- "NVIDIA and Baker Hughes, a General Electric company. General Electric company, pump AI into the oil and gas Oil and Gas Industry", NVIDIA Blog
Avoid power outages, downtime and unnecessary maintenance costs by identifying machine discrepancies in real time and predicting the remaining useful life of the equipment. GPU-based deep learning servers such as NVIDIA® DGX 1™ also enable rig operators to visualise and analyse vast amounts of production and sensor data such as pump pressures, flow rates and temperatures.
Capacity optimisation, economic forecasting and site monitoring are also conceivable applications.
Increase the reliability and performance of your refining equipment by identifying the causes of poor performance, virtually testing operational or equipment changes and minimising unforeseen risks from proposed changes.
Avitas is working to revolutionise asset integrity management through our innovative digital inspection and forecasting platform. Our unique approach combines advanced analytics with autonomous inspection methods that help our customers deliver safer, cleaner and more efficient energy solutions. NVIDIA is a key partner in helping us scale our edge capabilities with the EGX platform.
- Jason Roe, CEO, Avitas Systems, a Baker Hughes Company of Baker Hughes
- AI supercomputing on the ground - infographic
ELECTRICITY GENERATION AND DISTRIBUTION
Explore new energy deposits and discover available hydrocarbon reserves by processing seismic data. Create accurate models of the subsurface in less time on NVIDIA GPUs.
Optimise renewable energy production and reduce operating costs with AI, e.g. for the inspection and maintenance of wind turbines.
Forecast future workloads by using Advanced Metering Infrastructure(AMI) data in machine learning models running on NVIDIA GPUs.
WORK ON THE TASK OF YOUR LIFE - EVERYWHERE.
Now, as the world of work increasingly turns to remote work, geoscientists and engineers in the energy industry need access to the same tools and resources available to them in the office. Solutions from NVIDIA and our partners enhance the remote work experience, allowing users to stream the most demanding applications and datasets similar to a native workstation without compromising data security.
NVIDIA SOLUTIONS FOR THE ENERGY INDUSTRY
COMPUTING IN THE PERIPHERY
By capturing and analysing data at the edge of the network, companies can more quickly predict mechanical problems in areas such as oil pumps. Advanced computing in the industrial periphery requires GPU-powered computing for industrial inspection and robotics in factories, as well as predictive maintenance of equipment in the field. The NVIDIA EGX platform provides a single, unifying foundation for industry-leading edge AI applications and frameworks.
Drive efficiency with high-performance computing, data processing and data management that support the unique needs of key industry segments and processes. NVIDIA's GPU-accelerated solutions make training deep learning and machine learning models significantly faster, delivering insights that could not be achieved before. From the peripheral to the data centre, NVIDIA GPUs are available for every major computing system and server manufacturer. They are also available in NVIDIA DGX systems, which are equipped with DGX add-on software for rapid deployment to meet the needs of Deep Learning and Machine Learning developers.
Deliver power from supplier to consumer using cloud computing to save energy, reduce costs and increase reliability. NVIDIA GPUs are available on demand in all major cloud platforms worldwide, and NGC offers GPU-accelerated containers for easy deployment, including deep learning frameworks like TensorFlow, PyTorch, MXNet and more. NVIDIA Metropolis, the application framework for smart cities, is fully integrated with Azure IoT Edge and will soon be integrated with AWS IoT Greengrass.
NVIDIA software libraries and SDKs create a scalable solution that enables customers to deploy inference and AI in the cloud, on their servers or in the periphery. This software investment is designed to save customers implementation time and reduce overall development costs. NVIDIA software and SDK resources include NVIDIA JetPack™ for embedded applications, DeepStream for intelligent video analytics (IVA), NVIDIA Isaac™ and NVIDIA TensorRT™ for inference, the Transfer Learning Toolkit for optimising Deep Neural Networks (DNNs), NGC for containers and AI software, and more.