NVIDIA announced it is working with global industrial software leaders Cadence, Dassault Systèmes, PTC, Siemens and Synopsys to bring NVIDIA CUDA-X, NVIDIA Omniverse and GPU-accelerated industrial software and tools to companies including FANUC, HD Hyundai, Honda, JLR, KION, Mercedes-Benz, MediaTek, PepsiCo, Samsung, SK hynix and TSMC, with the aim of accelerating design, engineering and manufacturing. These software leaders are also introducing NVIDIA-powered agentic solutions to prepare their customers for the next phase of the AI era. All these solutions run on NVIDIA AI infrastructure across major cloud providers like AWS, Google Cloud, Microsoft Azure and Oracle Cloud Infrastructure (OCI), as well as on systems from Dell, HPE and Supermicro, enabling accelerated industrial design and simulation workflows.
Industrial engineering is entering an agentic inflection point where long-running AI agents can streamline and orchestrate complex design, engineering and manufacturing processes. Cadence, Dassault Systèmes, Siemens and Synopsys are integrating agentic AI into their platforms using NVIDIA NeMo, NVIDIA Nemotron open models, NVIDIA CUDA-X libraries and NVIDIA accelerated computing to power autonomous design agents supporting complex semiconductor, system and engineering workflows. Cadence?s ChipStack AI SuperAgent combines GPU-accelerated EDA software with agentic orchestration for semiconductor design and verification tasks, including design and testbench coding, automated test-plan creation and debugging.
Dassault Systèmes is developing role-based AI agents known as Virtual Companions on its 3DEXPERIENCE agentic platform to manage workflows across its industrial software portfolio. Siemens? Fuse EDA AI Agent autonomously orchestrates multiple AI-driven processes across the complete semiconductor and PCB workflow, from conceptual design to manufacturing sign-off.
Synopsys is building its AgentEngineer multi-agent framework tailored for semiconductor and systems design. In next-generation vehicle development, NVIDIA is partnering with Siemens and Synopsys to deliver GPU-accelerated tools that transform computational fluid dynamics (CFD) and electromagnetic simulations. These GPU-based solutions significantly shorten simulation cycles, replacing weekslong CPU runs with high-fidelity virtual testing.
Honda uses Synopsys? Ansys Fluent, accelerated by the NVIDIA Grace Blackwell platform, achieving 34x faster aerodynamic simulation performance compared with CPU-based computations. JLR and Mercedes-Benz use Siemens?
Simcenter STAR-CCM+ on NVIDIA-powered infrastructure to optimize engineering workflows, with JLR deploying the platform on AWS for enhanced vehicle aerodynamics. Dassault Systèmes? SIMULIA Abaqus and PowerFlow, accelerated by NVIDIA AI infrastructure, support simulation workflows for Rivian?s vehicle development.
Aerospace engineering also benefits from GPU-accelerated CFD. NVIDIA-accelerated Cadence solvers allow high-fidelity simulations for complex scenarios like aircraft takeoff, enabling previously impractical workflows and supporting advanced designs for space exploration. Ascendance uses Cadence Fidelity on NVIDIA GPUs on Oracle Cloud to simulate hybrid electric propulsion and vertical takeoff and landing aircraft scenarios, allowing same-day full aerodynamic campaigns not achievable with CPU-only HPC systems. Energy sector leaders are adopting GPU-accelerated CFD workflows on NVIDIA AI infrastructure across cloud and on-premises environments to reduce simulation time, increase throughput and overcome CPU-based limitations.
Solar Turbines uses Cadence Fidelity on Dell infrastructure to complete 360-degree, billion-cell combustor simulations in just 14 hours. Argonne National Laboratory uses Cadence Fidelity on the Polaris supercomputer, built by HPE and accelerated by NVIDIA A100 GPUs, enabling high-fidelity combustion research for next-generation propulsion and clean-energy technologies. As semiconductor design moves into the trillion-transistor era, CPU-only workflows cannot keep pace.
To address this, Samsung and SK hynix use Cadence Pegasus, Synopsys PrimeSim and Siemens? Calibre software on NVIDIA-accelerated Dell PowerEdge and HPE systems to streamline computational lithography and physical verification for DRAM and flash memory production. Astera Labs uses Synopsys PrimeSim B200 GPU-accelerated EC2 on AWS, achieving 3.5x faster chip-design performance.
MediaTek accelerates Cadence Spectre by 6x using NVIDIA H100 GPUs to support its on-premises AI factory. TSMC uses Synopsys tools on HPE and Supermicro infrastructure to accelerate advanced manufacturing workloads. Micron expands its work with Cadence and integrates NVIDIA GPU-accelerated design tools and agentic AI to accelerate next-generation high-bandwidth memory development.
NVIDIA and its industrial ecosystem partners are also accelerating digitalization across factories, warehouses and shipyards using high-fidelity industrial digital twins. Siemens? Digital Twin Composer, powered by NVIDIA Omniverse libraries, enables companies like Foxconn, HD Hyundai, PepsiCo and KION to build large-scale industrial metaverse environments.
These environments bring together real-time physical data, simulation and industrial AI to enable faster virtual decision-making. Krones uses Ansys Fluent on Microsoft Azure with NVIDIA Omniverse, CUDA-X and GPU-accelerated simulation to reduce bottling-line simulation times from hours to minutes. PTC introduces a robotics design-to-simulation workflow from its cloud-native Onshape platform to NVIDIA Isaac Sim, enabling companies like FANUC America Corporation and Fauna Robotics to design and validate robotic systems within realistic digital twin environments.
KION collaborates with Siemens, NVIDIA and Accenture to advance autonomous warehouse solutions using NVIDIA Omniverse and physics-accurate digital twins to train and test fleets of NVIDIA Jetson-based autonomous forklifts for GXO, the world?s largest pure-play contract logistics provider.
