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Sponsored Keynote: The Weight of Data: Rethinking Cloud-Native Systems for the Age of AI

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Argues cloud-native must shift from stateless to state-aware systems because AI agents produce high-volume, shared, mutable context and traditional failure modes (crash/restart) are insufficient when agents return wrong outputs. Calls out Kubernetes primitives—PersistentVolumes, StatefulSets, DaemonSets—and projects VEST, Rook, K native and streamy as foundations but insufficient at AI scale. Recommends NUMA-aware scheduling, GPU and topology-aware placement, an LLM gateway for routing heavy inference, plus OpenTelemetry-based correlation and a new fault-tolerance model for distributed, high-throughput state.

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