Optimizing CPU management improves cluster performance and security, but is daunting to almost everyone. CPU management may seem complex, but it can be explained in such a way that even your inner toddler will comprehend. With this talk, we will give a path to success. You may have a multi-socket node cluster where your AI/ML workloads care about the proximity of your CPUs to GPUs. You may be running scientific workloads where you want to pin in cores within containers instead of just a pod level. You may have a single-socket server where you want to save a single core outside of Kubernetes for a daemon dedicated to mining bitcoin, without affecting your other jobs (please do not do this). We will cover these and more, helping you understand the intricacies of CPU management within the kubelet and what Kuberenetes can and cannot currently do. We will also cover how you can help escalate the visibility of use cases not currently covered within Kubernetes.
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