
Expanded collaboration combines agentic AI, physics-based simulation, and digital twins to accelerate engineering and unlock new levels of productivity across semiconductors, physical AI systems and AI factories


At

Expanded collaboration combines agentic AI, physics-based simulation, and digital twins to accelerate engineering and unlock new levels of productivity across semiconductors, physical AI systems and AI factories


At CadenceLIVE Silicon Valley 2026, Cadence (NASDAQ:<a class="ticker" href="https://www.benzinga.com/quote/CDNS">CDNS</a>) announced an expanded partnership with NVIDIA to deliver accelerated solutions across agentic AI, physics-based simulation and digital twins to unlock new levels of productivity and accelerate next‑generation engineering design flows across semiconductor design, physical AI systems and hyperscale AI factories.


By combining Cadence's leadership in agentic AI-driven design, electronic design automation (EDA) and system design and analysis (SDA) with NVIDIA CUDA-X, AI physics and Omniverse libraries for industrial digital twin solutions, the two companies are redefining engineering productivity across three critical design domains—accelerating innovation at true agent speed.


"Agentic AI and digital twins are reshaping the entire engineering landscape—from semiconductor design to planetary‑scale AI systems," said Anirudh Devgan, president and chief executive officer, Cadence. "Our expanded collaboration with NVIDIA accelerates the convergence of design and physical realization, connecting the Cadence AgentStack, Physical AI Stack, and AI factory digital twins with NVIDIA's breakthroughs in accelerated computing to deliver unprecedented speed, accuracy and trust in simulation and system development.


"We are at an inflection point in computing—CUDA-accelerated computing and AI are reinventing the engineering process," said Jensen Huang, founder and CEO of NVIDIA. "For the first time, we can innovate in the digital world—exploring, testing, and optimizing ideas at unprecedented speed and scale—by building everything as full-fidelity digital twins first. Together, NVIDIA and Cadence are bringing this vision to life—transforming how engineers design, build and operate the world."


Accelerating Cadence Tools for EDA and SDA


Cadence and NVIDIA are accelerating Cadence EDA and SDA solutions with NVIDIA CUDA-X, AI-physics, Omniverse libraries and the Cadence&#xAE; Millennium&#x2122; M2000 Supercomputer, powered by NVIDIA AI infrastructure. As part of this expanded collaboration, Cadence will accelerate its wide range of principled solvers and leverage AI physics models to deliver engineering workflows up to 100X speedup.


Cadence EDA and SDA customers and partners, including Ascendence, Argonne National Laboratory, Honda R&amp;D, Samsung and SK Hynix are already leveraging Cadence solutions accelerated by NVIDIA to bring accelerated products to market faster.


AgentStack: Agentic AI for Next-Generation Chip Design


Cadence recently introduced its ChipStack&#x2122; AI Super Agent, which applies agentic AI combined with principled EDA tools to transform semiconductor RTL design and verification. Early deployments at more than 10 leading customers have already demonstrated up to a 10X productivity boost in their design and verification tasks.


Building on this foundation, Cadence today unveiled AgentStack&#x2122;, a head agent designed to orchestrate all aspects of semiconductor and system design. AgentStack extends the ChipStack AI Super Agent's Mental Model and super-agent architecture beyond RTL and verification into physical design, custom/analog design and migration, to system-level design workflows. AgentStack connects Cadence agents with Cadence EDA platforms that leverage NVIDIA Nemotron and run on NVIDIA accelerated computing for orchestrating long‑running, multi‑agent workflows.


As an early partner, NVIDIA is adopting the AgentStack flow in its semiconductor and system design flows and providing real-world feedback that will help Cadence harden and scale AgentStack for broader industry deployment. This evolution will mark a significant shift from traditional script‑ and GUI‑driven flows to agent‑driven flows that are capable of reasoning over design hierarchies, relationships and protocols, dramatically compressing iteration cycles from days to hours.


Embedded Agentic AI for Physical AI


Beyond semiconductor design, Cadence and NVIDIA are extending their collaboration to embedded agentic AI for physical AI, combining the Cadence Physical AI Stack with NVIDIA robotics simulation libraries and accelerated computing to help close the critical "sim‑to‑real" gap for robots and autonomous machines. By integrating and accelerating Cadence's high‑fidelity multiphysics simulation and AI workflows with NVIDIA Isaac open-source simulation libraries and Cosmos open-world models, customers gain an end‑to‑end, agent‑orchestrated workflow that links world‑model training, accurate physics, large‑scale scenario testing and continuous real‑world feedback.


At a high level, the joint stack coordinates AI agents across the full lifecycle—from training orchestration, physics surrogate training and policy optimization, to validation and deployment feedback. This workflow spans virtual training in NVIDIA Isaac Sim and Isaac Lab, evaluation through detailed Cadence physics models and mission‑scale scenario simulation in VTD (Virtual Test Drive) and VTDx—its extended high‑fidelity simulation environment for complex, real‑world scenarios.


The results are then deployed on NVIDIA Jetson robotics and edge AI systems, where a live virtual twin enables continuous monitoring and refinement. By embedding accurate physics throughout training, validation and inference, the Cadence–NVIDIA flow is designed to greatly accelerate experimentation while improving safety and confidence when physical AI systems are deployed in the real world.


AI Factory Digital Twins to Achieve Lowest Cost per Token


The collaboration also extends to AI factories, where Cadence integrates the NVIDIA Omniverse DSX Blueprint to enable next-generation AI factory digital twins that will help customers design, simulate and optimize large‑scale Vera Rubin and Grace Blackwell AI factories for training and inference. These AI factory digital twins focus on a critical new metric for hyperscale AI: tokens per watt, or the number of model tokens processed per each unit of power consumed.


Using Cadence system analysis and data center simulation tools in combination with NVIDIA DSX libraries and the Omniverse DSX blueprint, customers can explore tradeoffs in GPU power settings, system configurations and cooling architectures before deploying physical systems. In a joint 10-megawatt (MW) AI factory use case, modeling GPU operation at a reduced power (MaxQ) demonstrated up to 17% more tokens per watt and billions of dollars of incremental annual revenue per gigawatt for large‑scale deployments, increasing net annual revenue and underscoring the value of simulation‑driven design for AI factories.


Digital twins of NVIDIA DSX-based AI factories have also demonstrated that combining MaxQ operation with warmer coolant could yield roughly 32% more tokens per watt. By capturing the interactions between IT load, cooling systems, airflow and control logic in a high‑fidelity digital twin, operators can safely push their AI factories toward maximum tokens per watt while respecting power and thermal constraints.


CadenceLIVE Showcase


Cadence will highlight Cadence accelerated solutions, AgentStack, the Physical AI Stack and the AI factory digital twin solutions, along with the expanded collaboration with NVIDIA, at CadenceLIVE 2026, where customers will see how the two companies are helping engineering teams move from early concepts and training to deployment more quickly and confidently.


About Cadence


Cadence is a market leader in AI and digital twins, pioneering the application of computational software to accelerate innovation in the engineering design of silicon to systems. Our design solutions, based on Cadence's Intelligent System Design&#x2122; strategy, are essential for the world's leading semiconductor and systems companies to build their next-generation products from chips to full electromechanical systems that serve a wide range of markets, including hyperscale computing, mobile communications, automotive, aerospace, industrial, life sciences and robotics. In 2024, Cadence was recognized by the Wall Street Journal as one of the world's top 100 best-managed companies. Cadence solutions offer limitless opportunities—learn more at <a xmlns="http://www.w3.org/1999/xhtml" rel="nofollow" href="https://cts.businesswire.com/ct/CT?id=smartlink&amp;url=http%3A%2F%2Fwww.cadence.com%2F&amp;esheet=54510391&amp;newsitemid=20260415332711&amp;lan=en-US&amp;anchor=www.cadence.com&amp;index=1&amp;md5=3003d979debbeb179e9f5eeb84f460ab" shape="rect">www.cadence.com</a>.


&#xA9; 2026 Cadence Design Systems, Inc. All rights reserved worldwide. Cadence, the Cadence logo, and the other Cadence marks found at <a xmlns="http://www.w3.org/1999/xhtml" rel="nofollow" href="https://cts.businesswire.com/ct/CT?id=smartlink&amp;url=http%3A%2F%2Fwww.cadence.com%2Fgo%2Ftrademarks&amp;esheet=54510391&amp;newsitemid=20260415332711&amp;lan=en-US&amp;anchor=www.cadence.com%2Fgo%2Ftrademarks&amp;index=2&amp;md5=26043114326d0217c97475af2500ac3b" shape="rect">www.cadence.com/go/trademarks</a> are trademarks or registered trademarks of Cadence Design Systems, Inc. All other trademarks are the property of their respective owners.


CATEGORY: FEATURED

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 Cadence Newsroom
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CDNS

Cadence and NVIDIA Expand Partnership to Reinvent Engineering for the Age of AI and Accelerated Computing

Cadence and NVIDIA Partnership Enhances Semiconductor Design Efficiency

<section class="insight" data-version="1">
 <section data-block="information">
 <h3>Information</h3>
 Expanded collaboration combines agentic AI, physics-based simulation, and digital twins to accelerate engineering and unlock new levels of productivity across semiconductors, physical AI systems and AI factories


At
 </section>

 <section data-block="ai-summary-paragraph">
 <h3>AI Summary</h3>
 Cadence has announced an expanded partnership with NVIDIA, focusing on integrating agentic AI and digital twins to enhance semiconductor design workflows. This collaboration aims to significantly increase productivity and foster innovation in the semiconductor industry, leading to accelerated product development and potential revenue growth.
 </section>

 <section data-block="ai-summary-bullets">
 <h3>Key Points</h3>
 <ul><li>Cadence expands partnership with NVIDIA to boost engineering productivity.</li><li>Collaboration focuses on agentic AI, digital twins, and simulation technologies.</li><li>Cadence&#039;s new AgentStack promises 10X productivity increase in design tasks.</li><li>AI factory digital twins aim to improve efficiency and revenue generation.</li><li>Cadence showcases innovations at CadenceLIVE 2026.</li></ul>
 </section>

 <section data-block="companies-mentioned">
 <h3>Companies Mentioned</h3>
 <ul><li>NVIDIA (NVDA): NVIDIA&#039;s advanced technologies enhance Cadence&#039;s tool performance and market reach.</li><li>Samsung (SSNLF): As a partner, Samsung&#039;s adoption of Cadence solutions could drive joint revenue growth.</li><li>Honda R&amp;D: Collaboration highlights Cadence&#039;s influence in automotive semiconductor design.</li></ul>
 </section>

 <section data-block="category">
 <h3>Corporate Developments</h3>
 This news falls under &#039;Corporate Developments&#039; as it highlights a strategic partnership, showcasing Cadence&#039;s proactive approach in utilizing cutting-edge AI technology and reinforcing its market position in semiconductor design automation.
 </section>

 <section data-block="market-moving">
 <h3>Market-Moving</h3>
 <ul><li>NVIDIA’s collaboration may boost Cadence&#039;s market share and revenue in EDA solutions.</li><li>Increased productivity claims could lead to higher customer adoption of Cadence tools.</li><li>Tech advancements may result in favorable analyst upgrades for CDNS.</li><li>Competitors may face challenges if Cadence achieves demonstrated productivity gains.</li></ul>
 </section>

 <section data-block="key-facts">
 <h3>Key Facts</h3>
 <ul><li>Cadence claims up to 100X workflow speedup with new AI-powered tools.</li><li>Users of Cadence solutions include companies like Samsung and Honda R&amp;D.</li><li>AgentStack introduced to enhance design workflows, expected to improve productivity by 10X.</li><li>Cadence was recognized as one of the top 100 best-managed companies by the WSJ in 2024.</li><li>The collaboration with NVIDIA includes AI factory digital twins to improve efficiency.</li></ul>
 </section>

 <section data-block="trading-thesis">
 <h3>Trading Thesis</h3>
 Buy CDNS on strong expectations for increased engineering productivity and accelerated growth through innovation over the next 12-18 months.
 </section>
</section>



Expanded collaboration combines agentic AI, physics-based simulation, and digital twins to accelerate engineering and unlock new levels of productivity across semiconductors, physical AI systems and AI factories


At CadenceLIVE Silicon Valley 2026, Cadence (NASDAQ:<a class="ticker" href="https://www.benzinga.com/quote/CDNS">CDNS</a>) announced an expanded partnership with NVIDIA to deliver accelerated solutions across agentic AI, physics-based simulation and digital twins to unlock new levels of productivity and accelerate next‑generation engineering design flows across semiconductor design, physical AI systems and hyperscale AI factories.


By combining Cadence's leadership in agentic AI-driven design, electronic design automation (EDA) and system design and analysis (SDA) with NVIDIA CUDA-X, AI physics and Omniverse libraries for industrial digital twin solutions, the two companies are redefining engineering productivity across three critical design domains—accelerating innovation at true agent speed.


"Agentic AI and digital twins are reshaping the entire engineering landscape—from semiconductor design to planetary‑scale AI systems," said Anirudh Devgan, president and chief executive officer, Cadence. "Our expanded collaboration with NVIDIA accelerates the convergence of design and physical realization, connecting the Cadence AgentStack, Physical AI Stack, and AI factory digital twins with NVIDIA's breakthroughs in accelerated computing to deliver unprecedented speed, accuracy and trust in simulation and system development.


"We are at an inflection point in computing—CUDA-accelerated computing and AI are reinventing the engineering process," said Jensen Huang, founder and CEO of NVIDIA. "For the first time, we can innovate in the digital world—exploring, testing, and optimizing ideas at unprecedented speed and scale—by building everything as full-fidelity digital twins first. Together, NVIDIA and Cadence are bringing this vision to life—transforming how engineers design, build and operate the world."


Accelerating Cadence Tools for EDA and SDA


Cadence and NVIDIA are accelerating Cadence EDA and SDA solutions with NVIDIA CUDA-X, AI-physics, Omniverse libraries and the Cadence&#xAE; Millennium&#x2122; M2000 Supercomputer, powered by NVIDIA AI infrastructure. As part of this expanded collaboration, Cadence will accelerate its wide range of principled solvers and leverage AI physics models to deliver engineering workflows up to 100X speedup.


Cadence EDA and SDA customers and partners, including Ascendence, Argonne National Laboratory, Honda R&amp;D, Samsung and SK Hynix are already leveraging Cadence solutions accelerated by NVIDIA to bring accelerated products to market faster.


AgentStack: Agentic AI for Next-Generation Chip Design


Cadence recently introduced its ChipStack&#x2122; AI Super Agent, which applies agentic AI combined with principled EDA tools to transform semiconductor RTL design and verification. Early deployments at more than 10 leading customers have already demonstrated up to a 10X productivity boost in their design and verification tasks.


Building on this foundation, Cadence today unveiled AgentStack&#x2122;, a head agent designed to orchestrate all aspects of semiconductor and system design. AgentStack extends the ChipStack AI Super Agent's Mental Model and super-agent architecture beyond RTL and verification into physical design, custom/analog design and migration, to system-level design workflows. AgentStack connects Cadence agents with Cadence EDA platforms that leverage NVIDIA Nemotron and run on NVIDIA accelerated computing for orchestrating long‑running, multi‑agent workflows.


As an early partner, NVIDIA is adopting the AgentStack flow in its semiconductor and system design flows and providing real-world feedback that will help Cadence harden and scale AgentStack for broader industry deployment. This evolution will mark a significant shift from traditional script‑ and GUI‑driven flows to agent‑driven flows that are capable of reasoning over design hierarchies, relationships and protocols, dramatically compressing iteration cycles from days to hours.


Embedded Agentic AI for Physical AI


Beyond semiconductor design, Cadence and NVIDIA are extending their collaboration to embedded agentic AI for physical AI, combining the Cadence Physical AI Stack with NVIDIA robotics simulation libraries and accelerated computing to help close the critical "sim‑to‑real" gap for robots and autonomous machines. By integrating and accelerating Cadence's high‑fidelity multiphysics simulation and AI workflows with NVIDIA Isaac open-source simulation libraries and Cosmos open-world models, customers gain an end‑to‑end, agent‑orchestrated workflow that links world‑model training, accurate physics, large‑scale scenario testing and continuous real‑world feedback.


At a high level, the joint stack coordinates AI agents across the full lifecycle—from training orchestration, physics surrogate training and policy optimization, to validation and deployment feedback. This workflow spans virtual training in NVIDIA Isaac Sim and Isaac Lab, evaluation through detailed Cadence physics models and mission‑scale scenario simulation in VTD (Virtual Test Drive) and VTDx—its extended high‑fidelity simulation environment for complex, real‑world scenarios.


The results are then deployed on NVIDIA Jetson robotics and edge AI systems, where a live virtual twin enables continuous monitoring and refinement. By embedding accurate physics throughout training, validation and inference, the Cadence–NVIDIA flow is designed to greatly accelerate experimentation while improving safety and confidence when physical AI systems are deployed in the real world.


AI Factory Digital Twins to Achieve Lowest Cost per Token


The collaboration also extends to AI factories, where Cadence integrates the NVIDIA Omniverse DSX Blueprint to enable next-generation AI factory digital twins that will help customers design, simulate and optimize large‑scale Vera Rubin and Grace Blackwell AI factories for training and inference. These AI factory digital twins focus on a critical new metric for hyperscale AI: tokens per watt, or the number of model tokens processed per each unit of power consumed.


Using Cadence system analysis and data center simulation tools in combination with NVIDIA DSX libraries and the Omniverse DSX blueprint, customers can explore tradeoffs in GPU power settings, system configurations and cooling architectures before deploying physical systems. In a joint 10-megawatt (MW) AI factory use case, modeling GPU operation at a reduced power (MaxQ) demonstrated up to 17% more tokens per watt and billions of dollars of incremental annual revenue per gigawatt for large‑scale deployments, increasing net annual revenue and underscoring the value of simulation‑driven design for AI factories.


Digital twins of NVIDIA DSX-based AI factories have also demonstrated that combining MaxQ operation with warmer coolant could yield roughly 32% more tokens per watt. By capturing the interactions between IT load, cooling systems, airflow and control logic in a high‑fidelity digital twin, operators can safely push their AI factories toward maximum tokens per watt while respecting power and thermal constraints.


CadenceLIVE Showcase


Cadence will highlight Cadence accelerated solutions, AgentStack, the Physical AI Stack and the AI factory digital twin solutions, along with the expanded collaboration with NVIDIA, at CadenceLIVE 2026, where customers will see how the two companies are helping engineering teams move from early concepts and training to deployment more quickly and confidently.


About Cadence


Cadence is a market leader in AI and digital twins, pioneering the application of computational software to accelerate innovation in the engineering design of silicon to systems. Our design solutions, based on Cadence's Intelligent System Design&#x2122; strategy, are essential for the world's leading semiconductor and systems companies to build their next-generation products from chips to full electromechanical systems that serve a wide range of markets, including hyperscale computing, mobile communications, automotive, aerospace, industrial, life sciences and robotics. In 2024, Cadence was recognized by the Wall Street Journal as one of the world's top 100 best-managed companies. Cadence solutions offer limitless opportunities—learn more at <a xmlns="http://www.w3.org/1999/xhtml" rel="nofollow" href="https://cts.businesswire.com/ct/CT?id=smartlink&amp;url=http%3A%2F%2Fwww.cadence.com%2F&amp;esheet=54510391&amp;newsitemid=20260415332711&amp;lan=en-US&amp;anchor=www.cadence.com&amp;index=1&amp;md5=3003d979debbeb179e9f5eeb84f460ab" shape="rect">www.cadence.com</a>.


&#xA9; 2026 Cadence Design Systems, Inc. All rights reserved worldwide. Cadence, the Cadence logo, and the other Cadence marks found at <a xmlns="http://www.w3.org/1999/xhtml" rel="nofollow" href="https://cts.businesswire.com/ct/CT?id=smartlink&amp;url=http%3A%2F%2Fwww.cadence.com%2Fgo%2Ftrademarks&amp;esheet=54510391&amp;newsitemid=20260415332711&amp;lan=en-US&amp;anchor=www.cadence.com%2Fgo%2Ftrademarks&amp;index=2&amp;md5=26043114326d0217c97475af2500ac3b" shape="rect">www.cadence.com/go/trademarks</a> are trademarks or registered trademarks of Cadence Design Systems, Inc. All other trademarks are the property of their respective owners.


CATEGORY: FEATURED

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For more information, please contact:
 Cadence Newsroom
 408-944-7039
 <a xmlns="http://www.w3.org/1999/xhtml" rel="nofollow" href="mailto:newsroom@cadence.com" shape="rect">newsroom@cadence.com</a>

Cadence has announced an expanded partnership with NVIDIA, focusing on integrating agentic AI and digital twins to enhance semiconductor design workflows. This collaboration aims to significantly increase productivity and foster innovation in the semiconductor industry, leading to accelerated product development and potential revenue growth.

Cadence and NVIDIA Expand Partnership to Reinvent Engineering for the Age of AI and Accelerated Computing

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