Computer-Aided Engineering Solutions
#  Interactive Computer-Aided Engineering Simulations
Cadence Fidelity

Overview
##  Accelerate, Visualize, and Deploy AI With NVIDIA to Your Computer-Aided Engineering Workflows
NVIDIA is enabling industry developers to achieve real-time interactive design using AI-accelerated real-time digital twins. These advanced simulation environments let engineers change design settings and immediately see how they affect key performance indicators. Creating real-time [digital twins](https://www.nvidia.com/en-us/omniverse/solutions/digital-twins/) is typically a custom effort that demands expertise across multiple domains.

###  NVIDIA Builds World’s First Industrial AI Cloud to Advance European Manufacturing
Announcing a $500 million investment to build the world’s first industrial AI cloud for European manufacturers, powered by NVIDIA RTX PRO Servers and NVIDIA DGX B200 systems.
[Read News  ](https://nvidianews.nvidia.com/news/nvidia-builds-worlds-first-industrial-ai-cloud-to-advance-european-manufacturing)
###  Siemens and NVIDIA Partner to Bring AI and Accelerated Computing to Global Industrial and Manufacturing
Siemens integrates NVIDIA AI, CUDA-X, and Omniverse libraries across software products and services, builds new industrial AI infrastructure for the factory floor on NVIDIA accelerated computing.
[Read News  ](https://nvidianews.nvidia.com/news/siemens-and-nvidia-expand-partnership-to-accelerate-ai-capabilities-in-manufacturing)
Technology
##  Discover the Technology Behind the Solutions
Unifying the three pillars of NVIDIA technology for developers is essential for achieving real-time physics digital twins for industry software leaders.
###  Accelerate
 * Accelerate ISV solvers at massive scale using [NVIDIA Blackwell](https://www.nvidia.com/en-us/data-center/technologies/blackwell-architecture/) and[ Grace Hopper](https://www.nvidia.com/en-us/data-center/grace-hopper-superchip/) superchip.
 * Utilize NVIDIA CUDA-X™ libraries and [NVIDIA Warp ](https://developer.nvidia.com/warp-python)for GPU acceleration. [CUDA-X libraries](https://www.nvidia.com/en-us/technologies/cuda-x/) are built on top of CUDA to simplify adoption of NVIDIA’s acceleration platform across data processing, AI, and HPC.
###  AI Emulation
 * NVIDIA PhysicsNeMo empowers with its physics-AI framework to train and deploy NVIDIA NIM™ microservices
###  Interactive Visualization
 * Visualize your simulation results in real time using NVIDIA Omniverse™ APIs
 * Build the next wave of industrial and[ AI simulation applications](https://www.nvidia.com/en-us/omniverse/cloud/)
Products
##  NVIDIA Solutions for Engineering Simulation
###  In Workstations
Access the powerful acceleration of NVIDIA professional GPUs while working on desktop or mobile workstations.
###  In the Data Center
Utilize multi-GPU power remotely from on-premises or hosted data center solutions.
###  In the Cloud
Support application virtualization that enables engineers to work faster and IT to stretch budgets.
Industries
##  Explore Computer-Aided Engineering Solutions
 1. Automotive
 2. Manufacturing
 3. Aerospace
 4. Energy
###  Automotive
 * Boost performance with advanced compute, scalability, and reliability.
 * Tackle and resolve intricate challenges in structural mechanics \(FEA\), computational fluid dynamics \(CFD\), and computational electromechanics \(CEM\) using GPU-accelerated hardware and software solutions.
Ansys, Rescale
###  Manufacturing
 * Run high-fidelity simulations at unprecedented speeds by powering industrial digitalization.
 * Learn how NVIDIA GPUs super-charge industrial CFD simulations across a wide range of applications and manufacturing use cases.
###  Aerospace
 * Powering next-gen performance, manufacturability, and efficiency.
 * Learn how accelerated computing transforms design cycles with powerful engineering tools while saving money on HPC infrastructure.
[ Read Aerospace Blog Posts ](https://developer.nvidia.com/blog/recent-posts/?industry=Aerospace)
###  Energy
 * Bring the future of energy with AI and computer-aided engineering.
 * Discover how energy companies can speed up the development of use-case applications, such as reservoir simulation, seismic processing, and predictive maintenance.
Siemens Gamesa
Adopters
##  Leading Adopters Across Industries
 1. Industry Software Providers
 2. Cloud Service Providers
 3. Hardware Partners
###  Resources
##  See the Latest Industry-Shaping Breakthroughs
 1. Blogs
 2. Press Releases
 3. Demos
###  Semiconductor Industry Accelerates Design Manufacturing With NVIDIA Blackwell and CUDA-X
NVIDIA Blackwell is being adopted by TSMC, Cadence, Siemens, Synopsys, and KLA for chip design and manufacturing.
[Read Blog  ](https://blogs.nvidia.com/blog/semiconductor-industry-electronic-design-automation-blackwell-cuda-x)
###  NVIDIA Accelerates Science and Engineering With CUDA-X Libraries Powered by Grace Blackwell and Hopper Architectures
Libraries including cuBLAS, cuDSS, cuSOLVER, cuOpt, and cuLitho to speed simulations and transform applications in all industries.
[Read Blog  ](https://blogs.nvidia.com/blog/cuda-x-grace-hopper-blackwell/)
Cadence, ETAP, Schneider Electric, Vertiv
###  NVIDIA Expands Omniverse Blueprint for AI Factory Digital Twins With New Ecosystem Integrations, Development Tools
The NVIDIA Omniverse™ Blueprint for AI factory digital twins features expanded capabilities and deeper integrations across the AI factory power, cooling, and networking ecosystem.
[Read Blog  ](https://blogs.nvidia.com/blog/omniverse-blueprint-ai-factories-expands)
[ See All Tech Blog ](https://developer.nvidia.com/blog/tag/computational-fluid-dynamics/)
[ See All Topic News ](https://blogs.nvidia.com/blog/tag/simulation-and-design/)
Luminary Cloud
###  NVIDIA Announces Omniverse Real-Time Physics Digital Twins With Industry Software Leaders
The NVIDIA Blueprint for interactive virtual wind tunnels enables unprecedented CAE exploration for Altair, Ansys, Cadence, Siemens, and more.
[Read Press Release  ](https://nvidianews.nvidia.com/news/nvidia-announces-omniverse-real-time-physics-digital-twins-with-industry-software-leaders)
Boom Supersonic
###  NVIDIA Blackwell Accelerates Computer-Aided Engineering Software Ecosystem
Leading software providers, including Ansys, Altair, Cadence, Siemens, and Synopsys, adopt NVIDIA Blackwell.
[Read Press Release  ](https://nvidianews.nvidia.com/news/nvidia-blackwell-accelerates-computer-aided-engineering-software-by-orders-of-magnitude-for-real-time-digital-twins)
###  NVIDIA Expands Omniverse With Generative Physical AI
New models, including Cosmos™ world foundation models and Omniverse Mega Factory and Robotic Digital Twin Blueprint, lay the foundation for industrial AI.
[Read Press Release  ](https://nvidianews.nvidia.com/news/nvidia-expands-omniverse-with-generative-physical-ai)
[ ](https://www.youtube.com/watch?v=RIxrN7yedyQ)
###  Creating Real-Time Computer-Aided Engineering Digital Twins With NVIDIA Omniverse Blueprints
Watch how Luminary Cloud instantiated the Omniverse Blueprint for Real-Time Computer-Aided Engineering Digital Twins to realize a real-time virtual wind tunnel.
[Watch Video  ](https://www.youtube.com/watch?v=RIxrN7yedyQ)
[ ](https://www.youtube.com/watch?v=CyP0SutKhzw)
###  Accelerating Science and Engineering With NVIDIA CUDA-X Libraries
Discover how CUDA-X empowers developers, researchers, and engineers to drive scientific discovery, transform AI, and redefine computation to make real-time digital twins truly possible.
[Watch Demo  ](https://www.youtube.com/watch?v=CyP0SutKhzw)
Next Steps
###  Stay up to date on the latest engineering simulation news from NVIDIA.
###  Omniverse Blueprint for Real-Time Computer-Aided Engineering Digital Twins
Discover a new reference application framework that accelerates workflows for CAE software providers.
[ Download Blueprint ](https://github.com/NVIDIA-Omniverse-Blueprints/digital-twins-for-fluid-simulation)