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Explore the fundamental mismatch between AI agents' computational requirements and current infrastructure paradigms in this keynote presentation. Examine why traditional compute models—from mainframes and VMs to containers and serverless architectures—are inadequate for handling agents' bursty, stateful, and hardware-intensive workloads. Discover the economic and technical inefficiencies organizations encounter, including unpredictable scaling challenges and persistent state management issues, while understanding why simple cloud modifications fall short. Analyze real operational challenges, architectural limitations, and the critical decision between adapting existing frameworks or completely reimagining compute design for the AI era. Learn from serial entrepreneur and AI expert Diego Oppenheimer, co-founder of Guardrails AI and former CEO of Algorithmia, as he delivers actionable insights rather than theoretical speculation about the future of AI infrastructure.
