Agentic & Autonomous AI require a new approach to infrastructure and Ruben supports industries building their AI-practise leveraging NVIDIA’s accelerated computing platform.
At NVIDIA, Ruben specialises in connecting class-leading hardware with industry-transforming enterprise software, encompassing infrastructure optimisation platforms, Agentic AI development tools, and domain-specific application frameworks. His role involves supporting large-scale strategic AI projects and positioning enterprise AI solutions across rapidly evolving industries.
This session examines how AI factories give corporates, governments and enterprises the freedom to choose the right infrastructure for their AI ambitions.
As Agentic AI increasingly depends on local control over data, compliance, and operations, infrastructure choice becomes a strategic decision — not just a technical one.
We’ll explore how AI factories can be deployed on premises or in the cloud, how modular architectures and open model support expand flexibility, and how organizations can align performance, resilience, and sovereignty without sacrificing speed. Attendees will leave with a practical framework for building AI infrastructure that reflects local priorities while remaining open, scalable, and future-ready.
