Cost per Token Is the New KPI: How HPE and NVIDIA Are Architecting Agentic AI at Enterprise Scale

Agentic AI changes enterprise architecture from a model-access problem into a systems-design challenge: autonomous agents chain model calls, retrieve context, invoke tools, and coordinate with other agents, multiplying token consumption while expanding the security and governance boundary across the business. In this session, HPE and NVIDIA will show how they are co-developing enterprise AI factory architectures that make cost per token, data gravity, sovereignty, observability, and policy enforcement core platform design principles. Attendees will learn how accelerated compute, networking, storage, NVIDIA AI Enterprise software, HPE Private Cloud AI, and governed agent runtime controls can help enterprises move from pilot agents to production-scale agentic AI systems that are secure, observable, and economically sustainable.