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How to Deploy AI Models at the Edge and on Your Own GPUs: Architecture, Security, and Central Management

Deploy AI at the edge or on your own GPUs by packaging each model as a versioned container with its own inference server, running it on a small Kubernetes-based runtime at every site, and managing all sites from one control plane that handles rollout, health checks, secrets, and observability. Keep…

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  1. 2026-11-09 00:49 · DEV Community — Machine Learning
    How to Deploy AI Models at the Edge and on Your Own GPUs: Architecture, Security, and Central Management

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