What's happening in Kubernetes to support AI workloads
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Ranked by a public rubric, not by votes: what a comment adds counts, not who wrote it. How comments are ranked · Comment rules
Summary
Kubernetes has long split work between a scheduler that places pods on existing nodes and an autoscaler that adds nodes, a design that strains under AI workloads needing specialized accelerators.