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Sponsored Session: Ready for Impact: EVE Steps from 10k Kubernetes Clusters to Edge AI#

Open Networking & Edge Summit 2025 digest Program Adjacent pick 31 March 2025

Abstract Recording

Erik Nordmark, ZEDEDA

Play the recording: Sponsored Session: Ready for Impact: EVE Steps from 10k Kubernetes Clusters to Edge AI

  • Why: Flagged as a sponsored session, but with a concrete production number attached: EVE (LF Edge) is claimed to run 10,000+ single-node Kubernetes clusters and VMs in production. Fleet-style Kubernetes at the edge — one-cluster-per-site, upgrade, and resiliency mechanics — is directly relevant to the PM's K8s-operations interests, and edge AI inference workflow integration is the forward-looking part.
  • What: A status talk on EVE's graduation to LF Edge's Impact stage, the 10k-cluster production footprint, current work to enable AI inference at the edge (workflows and integrations), and new resiliency efforts (from abstract only).
  • How: EVE is an open source edge OS providing virtualization and container runtime isolation on distributed edge nodes, orchestrated centrally (ZEDEDA's commercial orchestration sits on top). The AI-inference enablement is described as workflow/integration work rather than a new mechanism.
  • Where applicable: Edge deployments with single-node-per-site topology — quite different constraints from a central DC cluster. The 10k figure is ecosystem-reported, not independently audited; keep in mind the speaker is ZEDEDA's CTO.