I have a Kubernetes pod running some AI inference models, and I've noticed that it doesn't seem to utilize all the CPU resources I'm providing. Specifically, I set it to have 6 minimum and 10 maximum CPU resources, but it only uses up to 8. After reducing the max to 8, it still doesn't exceed 6. I'm confused as to why it's not fully utilizing the available resources. Any insights would be appreciated!
2 Answers
It could be worth checking for CPU throttling. If your pod is being limited by the kernel due to your settings, it won't be able to use more than what's allocated. I generally recommend not setting strict CPU limits; the kernel can manage resource distribution more effectively. Setting limits for memory is a better strategy.
It sounds like there's no issue with your Kubernetes setup. The thing to consider is that not all applications utilize CPU resources the same way. For example, some apps, like those running on Java's JVM, may only use a percentage of available CPUs. It might help to check how the application inside your pod is designed to manage CPU usage.
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