This digest compiles the latest from NVIDIA.
Today’s NVIDIA Roundup
Autonomous AI at Scale: Adobe Agents Unlock Breakthrough Creative Intelligence With NVIDIA and WPP
20 Apr 2026, 1:00 pm by Richard Kerris
AI agents are transforming how work gets done across all industries, accelerating everything from content creation to decision-making.
NVIDIA’s expanded strategic collaborations with Adobe and WPP are bringing agentic AI to the center of enterprise marketing operations across creative production and customer experience orchestration.
As demand for personalized customer experiences surges, brands require intelligent systems that can plan, create, produce and activate content continuously — without compromising control, governance or brand integrity.
Consider a global retailer delivering the right offer, image, copy and price, across millions of product, audience and channel combinations — updated in minutes instead of months.
For marketing and creative teams, that means moving from one-size-fits-all campaigns to tailored experiences that are always on, always relevant and on brand. All of it is powered by intelligent systems that continuously generate and deliver content without sacrificing control, governance or brand integrity.
The expanded collaborations bring together three complementary strengths: Adobe’s creative and customer experience platforms and the new Adobe CX Enterprise Coworker, WPP’s global media and marketing expertise, and NVIDIA’s accelerated computing and software stack, including NVIDIA Nemotron open models, NVIDIA Agent Toolkit and the NVIDIA OpenShell secure runtime for building and running secure agentic AI systems.
As these agents begin orchestrating multistep workflows, tapping sensitive data and triggering actions across marketing stacks, enterprises need a way to enforce clear rules of engagement so every operation remains compliant, on brand and within defined risk boundaries.
Powered by the NVIDIA OpenShell runtime, every agent operates within a secure, isolated environment, delivering enterprise-grade control, consistency and auditability across the entire marketing lifecycle, with verifiable policy management, answering the question, “What can the agent do?” and not just, “What policy is in place?”
In governed environments, enterprises can also keep key workflows and intelligence services inside their trust boundary, including securely invoking Adobe CX Intelligence as part of customer experience agents.
A live demo of CX Enterprise Coworker — powered by NVIDIA Agent Toolkit, including the OpenShell runtime and Nemotron models — will be featured during Adobe Summit’s day-two keynote taking place Tuesday, April 21, at 9 a.m. PT.
The collaboration enables:
- End-to-end agentic workflows: Adobe is developing creative and marketing agents that can generate, adapt and version on-brand assets. Adobe’s CX Enterprise Coworker orchestrates downstream customer experience workflows from personalization to activation, closing the loop between content creation and customer engagement.
- Controlled execution with NVIDIA OpenShell: Agents run in a policy-based, containerized sandbox designed to keep execution governed, observable and auditable, helping enterprises safely deploy long-running agentic workflows on premises or in the cloud.
- Commercially safe content at scale: Adobe Firefly Foundry, accelerated by NVIDIA AI infrastructure, can help organizations deeply tune custom models on their proprietary assets, enabling agents to generate commercially safe content at scale and aligned to brand identity.
- A 3D digital twins solution for scalable marketing production: Adobe’s cloud-native 3D digital twin solution is now generally available, built on NVIDIA Omniverse libraries and OpenUSD. 3D digital twins serve as persistent product identities that agents use to automate and scale high-fidelity content creation across formats, markets and configurations.
Creative Intelligence Meets Performance Intelligence With Policy-Governed Agents
Governed environments such as the ones enabled by this collaboration act as a set of “guardrails” that keep AI operations observable and auditable, preventing the system from acting outside of a company’s specific data boundaries or brand rules.
By combining Adobe’s creative platforms, WPP’s media and marketing expertise and NVIDIA’s secure infrastructure with CX Enterprise Coworker, brands no longer have to choose between speed and safety. Autonomous agents can now generate, adapt and activate content at scale while operating within governed, policy-driven environments.
The result is a new foundation for agentic marketing — where creative intelligence, performance and trust are built in from the start and delivered at global scale.
Watch NVIDIA founder and CEO Jensen Huang’s Adobe Summit fireside chat with Adobe CEO Shantanu Narayen, taking place today at 2:20 p.m. PT.
NVIDIA and Partners Showcase the Future of AI-Driven Manufacturing at Hannover Messe 2026
20 Apr 2026, 8:30 am by James McKenna
Manufacturing is at an inflection point. Across every major industrial economy, the pressure to do more with less — due to faster design cycles, leaner operations and strain on skilled labor pools — is accelerating the shift to AI-driven production.
The question is no longer whether to adopt AI, but how fast and at what scale.
At Hannover Messe 2026, running April 20-24 in Hannover, Germany, NVIDIA and its partners are demonstrating AI-driven manufacturing in action. Attendees will experience how advancements in accelerated computing, AI physics, agents and robotics are powering industrial innovation — from agentic design and engineering to real-time simulation, vision AI agents and humanoid robots operating in factories.
The factory of the future isn’t just a concept. It’s being built now.
AI Infrastructure: Powering Europe’s Next Industrial Era
Running AI at scale across the factories and supply chains that manufacturing output relies on requires the right underlying infrastructure. As AI becomes foundational to how products, processes and facilities are designed, built and optimized, manufacturers need a unified, sovereign foundation that’s secure, scalable and built for industrial scale.
The Industrial AI Cloud, one of Europe’s largest AI factories built in Germany by Deutsche Telekom on NVIDIA AI infrastructure, is a blueprint for the future. It provides a secure, sovereign foundation for accelerating AI and robotics across Europe’s industries.
At the show, industry leaders, including Agile Robots, SAP, Siemens, PhysicsX and Wandelbots, will share how they are using this sovereign AI platform to run AI-accelerated workloads ranging from AI physics-driven, real-time simulation to factory-scale digital twins and software-defined robotics. EDAG, a leading independent engineering service provider, also announced it will be running its industrial metaverse platform, metys, on the Industrial AI Cloud — bringing sovereign AI infrastructure to automotive and industrial engineering at scale.
To support the increasing demand for AI infrastructure, Dell Technologies, IBM, Lenovo and PNY are also showcasing NVIDIA-accelerated systems, from the edge to data centers, enabling manufacturers to run faster simulations and develop and deploy computer vision, AI agents and robotics in production at scale.
AI-Driven Engineering
As industrial systems grow more complex, the software that engineers rely on to design, simulate and test them is being transformed with AI physics and agentic AI to keep pace. At Hannover Messe, NVIDIA partners are showcasing how AI-accelerated design and simulation is unlocking new possibilities.
Cadence, Dassault Systèmes, Siemens and Synopsys are integrating NVIDIA CUDA-X, AI physics and NVIDIA Omniverse libraries, as well as NVIDIA Nemotron open models, across their software — enabling real-time, physics-grounded simulation, AI-powered design exploration and agentic workflows that empower engineers.
Real-Time Factory Simulation
Factory-scale digital twins are critical for unlocking process simulation, real-time operations, and the testing and orchestration of robot fleets. At Hannover Messe, partners across manufacturing, energy and automotive are showing how digital twins, built on Omniverse libraries and OpenUSD, enable their customers to design, stress-test and continuously optimize their operations.
ABB will showcase how the integration of NVIDIA Omniverse libraries and Microsoft Azure cloud services into its ABB Genix Industrial IoT and AI Suite enables operations teams to understand asset performance in full context and engage AI agents to accelerate root-cause analysis.
Dassault Systèmes will demonstrate how AI-driven factories of the future are powered by virtual twin experiences. Attendees will see how these virtual twins harness NVIDIA physical AI libraries to enable autonomous, software-defined production and smarter, agile manufacturing systems.
Kongsberg Digital will highlight how integrating NVIDIA Omniverse libraries into its Kognitwin platform delivers spatial intelligence across critical energy infrastructure. The combination of digital twin models, live operational data and AI agents enables its customers to analyze complex assets, test scenarios virtually and optimize performance before changes reach the physical world.
Microsoft is demonstrating how NVIDIA Omniverse libraries integrated with Microsoft Fabric Real-Time Intelligence and IQ enable physically accurate, real-time simulations for organizations to design, simulate and optimize physical systems, while the Azure Physical AI Toolchain — built on the NVIDIA Physical AI Data Factory Blueprint — accelerates the deployment of physical AI and autonomous robots into production.
Siemens will highlight how integrating NVIDIA Omniverse libraries into its Digital Twin Composer solution turns multi-domain engineering and operational data into a comprehensive, simulation-ready digital twin — helping its customers deliver throughput gains and identify production issues before physical changes.
By combining the Wandelbots NOVA Platform with Omniverse libraries such as NVIDIA Omniverse NuRec, Wandelbots highlights a powerful pathway to digitalize real-world facilities into physically accurate simulations. For solutions like Gessmann’s GESSbot robots, this opens up future opportunities to accelerate commissioning and reduce deployment risks across complex industrial sites.
Bringing AI Agents to the Factory Floor
Traditional AI answers problems under a rigid set of conditions. AI agents bring a new level of proactive and adaptive intelligence that provides the context on what’s seen and analyzes what’s happening before taking action.
At the show, attendees will see how vision AI agents built on NVIDIA Metropolis libraries along with Nemotron and NVIDIA Cosmos open models are transforming industrial operations, combining multiple data streams with existing camera infrastructure to reach new levels of quality control, operational efficiency and worker safety.
Invisible AI is launching its Vision Execution System, a vision AI system that uses agents to capture, structure and analyze every production cycle on the factory floor in real time. Built with the NVIDIA Metropolis VSS Blueprint and NVIDIA Cosmos Reason 2 and Nemotron models, these autonomous AI agents surface actionable insights directly to operators before issues compound. This class of production intelligence is already driving measurable gains at some of the world’s largest automotive manufacturing factories like Toyota.
Tulip Interfaces will showcase Factory Playback, which uses the VSS blueprint and Cosmos Reason 2 to synchronize machine telemetry, operator workflows, quality events and video into a searchable, contextualized timeline of operations. Terex, a global industrial equipment manufacturer with over 40 plants, uses the platform to gain valuable insights and is expected to achieve an estimated 3% increase in yield and 10% reduction in rework.
Fogsphere extends vision AI into some of the most demanding manufacturing and industrial environments. Its Vision Agent platform — now supporting ARM-based edge deployment and training workflows built on NVIDIA Cosmos Reason 2 and the Metropolis VSS Blueprint — enables its customers to build and finetune visual AI agents. Saipem, an engineering services company in the energy and industrial ecosystem, is using the platform to build agents that can detect and respond in real time to high-risk safety and environmental events.
Machines That Can Think
AI reasoning is breaking industrial robots free from single-task constraints and time-consuming reprogramming, giving them the ability to navigate unstructured environments, learn new tasks and act autonomously. At Hannover Messe, NVIDIA partners are demonstrating robots completing real production tasks and physical AI frameworks that put autonomous automation within reach of manufacturers of every size.
At a Siemens blueprint autonomous electronics factory in Erlangen, Germany, Humanoid’s HMND 01 wheeled humanoid — running the NVIDIA Jetson Thor edge AI module for on-robot compute and developed using Isaac Sim and Isaac Lab open frameworks for simulation and reinforcement learning — has completed autonomous logistics operations in a first proof of concept within the production environment. Humanoid’s simulation-first development compressed what typically takes up to two years of hardware development down to just seven months.
SCHUNK’s GROW automation cell brings physical AI into production in a standardized, deployable form. NVIDIA Omniverse libraries and Isaac simulation frameworks enable robot behavior to be simulated, trained and validated before the cell goes live. Wandelbots’ NOVA platform connects simulation to the shop floor for continuous refinement, while EY designs the operating model to scale it across Europe’s small- and medium-sized enterprises.
Using NVIDIA’s physical AI stack, including the Physical AI Data Factory Blueprint and NVIDIA IGX Thor for industrial-grade edge compute with functional safety, Hexagon Robotics is accelerating robot training, validation and deployment. The results are already taking shape, with AEON set to perform assembly operations at a BMW Plant in Leipzig — marking one of the first humanoid deployments in a German production environment.
QNX has expanded its collaboration with NVIDIA to power safety‑critical edge AI systems for robotics, medical and industrial applications, with QNX OS for Safety 8.0 now integrated on NVIDIA IGX Thor and the NVIDIA Halos safety stack.
Explore NVIDIA AI technologies for industrial and manufacturing by joining NVIDIA at Hannover Messe.
End of today’s NVIDIA roundup.
