With GPUs, there's a lack of visibility and flexibility in usage; it's typically an all-or-nothing scenario, complicating monitoring and understanding of GPU performance.
Kubecost addresses GPU visibility by identifying nodes with GPUs, tracking costs across environments, and analyzing utilization metrics to gauge efficiency and idle capacity.
Understanding GPU dynamics is essential, particularly since multiple GPUs can exist in a node, which requires a unique monitoring approach distinct from CPUs.
By scraping utilization metrics from tools like Nvidia software, Kubecost aims to provide insights into GPU efficiency, a crucial concern as GPU costs rise.
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