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Discover how to maximize CPU performance in Kubernetes workloads through improved process scheduling and memory locality. Learn about the CRI Resource Manager (CRI-RM) and its ability to dynamically manage CPU and memory pinning for all Kubernetes containers on a node. Explore case studies demonstrating significant improvements in database and AI training performances without workload-specific configurations or changes to upstream Kubernetes components. Gain insights into the problem of thread scheduling on CPU cores, the features of CRI-RM, its operational mechanisms, and future developments in this 20-minute conference talk presented by Intel experts Antti Kervinen and Alexander Kanevskiy at a Cloud Native Computing Foundation (CNCF) event.
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