Uber tossed manual ML resource wrangling for a slick Kubernetes-Ray duo, amping up scalability and slashing inefficiencies. With dynamic resource pools, elastic sharing, and smart scheduling, they rev up utilization and demolish GPU waste—no micromanaging required.
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