A place I worked back around 2020 was running a Grafana instance per customer that got embedded on the web dashboard. We had 110 pods per GKE (kubernetes on gcp) 4 CPU node because that was a network imposed pod limit at the time. The nodes were usually idle--could have shoved a lot more on if not for the IP limit.

I think around that time Grafana changed their license tho so you couldn't host OSS Grafana as part of your service.

if it's agentic stuff, they likely aren't hammering a core constantly and they will maybe sit idle quite often between model requests, so it makes sense. I do wonder how much memory they allocate to each one though.

it's just very efficient use of shared cores that is required to make these kinds of workloads cost efficient

how is it impressive?