Webinar: CPUs, GPUs, and the Future of Distributed AI

For CIOs, CTOs, and leaders responsible for enterprise architecture and AI and agentic infrastructure, the next phase of AI demands a more deliberate approach to compute. As agents move into machines, vehicles and connected equipment, CPU and GPU decisions will shape where workloads run, how reliably they perform and what they cost to scale.

How should intelligence be distributed across devices, edge infrastructure and the cloud? This session, presented by mimik, examines the choices behind that question and their consequences for enterprise investment and operations. Topics include:

• Data sovereignty and governance: Determining where data is processed, what crosses organizational or jurisdictional boundaries and how control is maintained.
• Resilience and responsiveness: Supporting agents that need to react locally and operate when connectivity is limited.
• Cost and FinOps: Understanding how workload placement changes cloud consumption, infrastructure spending and the economics of scaling AI.

Infotech’s Jeremy Roberts, Senior Director, Research & Content, and Andrew Sharp, Research Director, Infrastructure & Operations, will frame the enterprise implications of agentic and physical AI. mimik will then present its Device First Continuum as one approach to distributed deployment, explaining how its device-first architecture supports agents across devices and connects to cloud resources when needed.