Red Hat has pushed out OpenShift 4.20, and the focus is pretty obvious speed up AI workloads, harden the platform, and smooth out virtualization across data centers, clouds, and edge setups. The update is basically Red Hat saying AI is moving from experimentation to production and customers need the plumbing to keep up. On the AI side, the new LeaderWorkerSet API helps teams run large distributed AI jobs without wrestling with manual orchestration. Image volume sources cut deployment times so new models drop into production in minutes instead of waiting for full container rebuilds. The whole package is built to reduce friction when scaling AI from pilot to production. Security also gets a lift. Red Hat Advanced Cluster Security 4.9 is now generally available, along with upgrades to Trusted Artifact…
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