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THE DAILY INDEX

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KUBERNETES V1.37: GARHWAL

Kubernetes v1.37, themed "Garhwal" after a Himalayan region of Uttarakhand, India, ships 67 enhancements: 16 promoted to Stable, 23 to Beta, 27 entering Alpha, and 1 deprecation or removal. Notable Stable graduations include the metrics.k8s.io API, which spent nearly nine years in Beta, and KYAML, a safer YAML subset for Kubernetes. The release also enables memory QoS and concurrent watch object decoding by default, and brings HorizontalPodAutoscaler scale-to-zero support to Beta. The 15-week cycle ran from May 18 to August 26, drawing contributions from up to 212 companies and 1,754 individuals.

BUILDING AN AI FACTORY ON KUBERNETES

Building an AI factory on Kubernetes means solving two problems at once: keeping GPU utilization high and keeping tenants from interfering with each other on the same hardware. The stack to do it now exists mostly from CNCF and open source projects, including DRA (GA in Kubernetes 1.34), HAMi for software-based GPU partitioning, vCluster for per-tenant virtual control planes, KServe for inference, and OpenCost for per-tenant chargeback. Network and storage isolation increasingly get pushed into hardware, with DPUs such as NVIDIA BlueField handling enforcement off the host CPU.

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