Physical AI at the Edge with HPE & SUSE | SUSE Summit Sydney

HPE’s Vinod Bijlani explores the shift from generative AI to physical AI at the edge, and the infrastructure, security and governance requirements organizations need to consider as AI systems begin taking real-world actions. Key topics covered in the presentation: • The Shift to Physical AI: How AI is evolving from public API-based applications toward private AI factories and distributed edge environments where agentic systems can take physical actions under human supervision. • Edge AI Design Requirements: Six core considerations for distributed AI, including centralized governance, low-latency local inferencing, small language models, edge-specific security, sovereignty and resilient autonomous operation. • HPE and SUSE Reference Architecture: How centralized AI factories can work with distributed micro AI factories using technologies including K3s, SUSE Rancher and SUSE Longhorn to manage AI workloads across large edge environments. • Security and Governance in Action: A retail demonstration shows how authenticated identities and role-based controls can provide broad access to information while restricting physical actions to authorized users and locations. • From AI Strategy to Production: Vinod outlines joint HPE and SUSE workshops covering AI transformation, governance, adoption, proof of value and production deployment. Learn how HPE and SUSE are helping organizations build secure, resilient and scalable infrastructure for physical AI at the edge. #PhysicalAI #EdgeAI #AgenticAI #AIInfrastructure #HPE #SUSE #SUSESummit