Huamin Chen

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> This is a question for @rootfs : is the image using the code that was refactored? yes, this image has fix in #1185

Regarding the dashboard, the green one is the efficient node while the red one is the power hungry node. The node metrics looks right (green one is ~29% more efficient...

@marceloamaral this needs some thinking, the idle power formula uses the cpu time that we know has some problem https://github.com/sustainable-computing-io/kepler/blob/main/pkg/collector/stats/node_stats.go#L64-L68 ```go func (ne *NodeStats) UpdateIdleEnergyWithMinValue(isComponentsSystemCollectionSupported bool) { // gpu metric...

For reference, the image used in last June had [this](https://github.com/sustainable-computing-io/kepler/pull/665/commits/0152a3ba053d976976a30eb1ab3380f04041a904) commit that disabled idle power

@yuzisun Thank you for starting this thread. Serverless LLM inference has many use cases. When it comes to power efficiency and power capping, autoscaling capabilities from KEDA and power consumption...

@marceloamaral can you take a look? I think the delta between 0.7.1 and latest is the new build process and the refactoring

@vprashar2929 can you add 0.7.2 in the same cluster too? thanks

contributions are always welcome

@dave-tucker this is great, can we have this soon so we can include it in the next release on Thu? Thanks

> Using `quay.io/sustainable_computing_io/kepler:release-0.5` on Fedora Core 33 with cGroup v1 (`systemd.unified_cgroup_hierarchy=0` in grub) does not work as expected: > > See bellow an extract of the logs (verbose=5) where every...