Accelerate AI at the Edge - Using Virtual Kubelet

🤖 AI at the Edge Using Virtual Kubelet 📅 Tuesday, October 13th, 2026
🕖 07:00 CEST / 10:30 IST / 13:00 SGT / 16:00 AEDT

What if your IOT and Embedded system infrastructure could become part of your Kubernetes compute platform — and run AI workloads directly at the edge?

Network switches and routers and other embedded devices have been capable of running containers for years, but they are still commonly managed through separate tools, APIs and operational workflows.

In this session, we will explore how Virtual Kubelet can bridge these worlds — representing network devices as Kubernetes nodes and bringing edge compute under the same control plane used to manage cloud native applications.

We’ll look at how this architecture can enable:

📌 AI workloads running directly at the network edge, close to where data is generated

📌 Network devices represented and managed as Kubernetes nodes

📌 Workloads provisioned using familiar Kubernetes APIs and kubectl

📌 Network configuration managed declaratively as Kubernetes resources, with continuous drift detection

📌 OpenTelemetry providing a common observability layer from the network edge into existing OTLP-compatible platforms

📌 CNCF technologies providing the foundation for observability, security and policy across distributed edge environments

We’ll also explore what becomes possible when the network itself becomes part of the compute fabric — particularly for high-rate data processing and AI inference at the edge. 🤖☸️🌐

Join us for a practical look at bringing together AI, networking, Kubernetes and edge computing through Virtual Kubelet.