OCTOBER 20-22, 2025 | BERLIN, GERMANY
NVIDIA GTC Berlin 2026
#NVIDIAGTC
Accenture at GTC Berlin 2026
Organizations are moving from experimentation to enterprise-wide AI adoption. At NVIDIA GTC Berlin 2026, Accenture will showcase how businesses are scaling agentic AI across the enterprise, building AI Factories and Private AI environments, embedding safety, trust and governance by design, and accelerating Physical AI across industrial operations. Join us to explore the technology, operating models and real-world experiences helping organizations turn AI ambition into measurable business outcomes.
Join us at NVIDIA GTC Berlin
Join us at the Accenture Berlin Office to watch NVIDIA CEO Jensen Huang's keynote live, alongside an interactive robotics demonstration. Developed in partnership with General Robotics, the demo showcases how Physical AI, simulation and autonomous systems are transforming real-world operations at scale.
Senior leaders will gather to explore how capabilities such as digital twins, simulation, robotics and AI infrastructure are enabling organizations to move beyond individual use cases and build repeatable, scalable Physical AI operating models that drive enterprise-wide business value.
Explore how organizations are designing, deploying and scaling AI Factories across enterprise, sovereign and AI cloud environments. The session will showcase operational intelligence, automation and AI Factory validation and certification capabilities that help organizations improve resilience, utilization and time to production.
As organizations move beyond AI experimentation, the challenge becomes deploying and governing AI at scale. Join Accenture to see how AI Foundation on NVIDIA helps organizations build, deploy and manage AI agents across the enterprise while connecting agents, data, models and infrastructure with governance and security built in.
Speaking session at NVIDIA GTC Berlin
Scaling Physical AI Safely: Building Trust Across the Full Physical-AI Lifecycle For Industrial Adoption
Physical AI is ready to transform industrial operations, but large-scale adoption requires more than advanced technology. It requires trust. As robots, AMRs, humanoids, and other AI-driven systems move from pilots into real-world environments, organizations must ensure safe deployment, operation, governance, and continuous improvement. In this session, leaders from TÜV SÜD and Accenture will introduce the Physical AI Safety Suite, a joint initiative designed to enable the safe and scalable adoption of Physical AI across the full lifecycle. From deployment readiness and digital twin-based risk assessment to operational safety, asset validation, governance, and certification readiness, the suite provides a continuous safety framework that helps organizations deploy, operate, and scale Physical AI with confidence.
Accenture Demonstrations showcasing Agentic AI, AI Factories and Physical AI
This demonstration is a video showcase of RoboBrain, Accenture’s Physical AI platform for robot learning, simulation, and deployment. It demonstrates end-to-end workflows from synthetic data generation and VLA training to perception, grasping, and autonomous execution. The video shows how intelligence developed in simulation transfers to real robots through a vendor-agnostic architecture.
The AI Operations Intelligence Hub delivers real time telemetry and observability across the full AI Factory estate surfacing GPU health, power consumption, infrastructure performance, model activity, and live tokenomics data to give operators the visibility they need to run AI services confidently at scale. Automation allows large NVL72 rack-scale system deployments for rapid Sovereign AI provider buildouts.
AI Foundation on NVIDIA is a governance-first orchestration platform that enables enterprises to build, govern, and scale agentic AI solutions across complex environments. Powered by Accenture Industry Intelligence and NVIDIA accelerated technologies, it allows organizations to orchestrate AI agents, enterprise data, business systems, and human expertise through reusable workflows with embedded governance, observability, and compliance controls. The platform is designed for regulated industries where explainability, data sovereignty, auditability, and human oversight are critical requirements.
AI Factory Navigator compresses weeks of AI Factory planning into hours — modeling GPU capacity, matching validated architectures, rendering physical datacenter designs in 3D, and delivering cost forecasts and operational planning so operators and enterprises can move from decision to deployment with confidence.
AI-assisted FMEA/PFMEA creation that generates product structures, failure chains, risk ratings, and recommended actions from engineering information, reducing manual analysis and improving consistency and traceability.
Powered by RoboBrain, Accenture’s Physical AI asset for robot learning, data collection, training, and autonomous execution. One model, many tasks: a bimanual robot adapts to new manipulation tasks through natural language rather than custom code. This demo highlights the future of robotics where intelligence scales through foundation models, not specialized hardware.
The Physical AI Safety Suite is a three-layer safety and certification workflow for industrial robots and AMRs. It validates shop-floor readiness in a digital twin, evaluates safe fleet and zone operations, and supports asset-level simulation, validation, data generation, and certification. This demonstration is a joint Accenture–NVIDIA–TÜV SÜD solution.
The Token Factory delivers governed, token metered AI services with intelligent model routing to least cost endpoints, real time metering, quota management, and pricing controls — turning raw GPU capacity into a scalable, monetized AI services business.
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