> Mostly useful if you're chasing NVIDIA Cloud Partner status or need NVIDIA support across the whole stack.
replyWhat if I don't care about the cloud partner status or support, but I still have a lot of Nvidia hardware I need to hand out to run isolated workloads? Seems like deploying straight k8s is the way to go?
I'm not super familiar with this tool, but I am a k8s administrator. I think it depends on how isolated you need those workloads to be. This seems like a good fit if you want cluster level isolation. There are other projects that implement the Cluster API (CAPI) though, which provide similar functionality, eg declaratively managing tenant clusters.
replyIts great to see them open source this stack!
replyLots of negativity from HN posters who usually manage 3 Kubernetes clusters in a single region via a managed service on AWS or GCP.
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replyI got lot of hate too when I tried building a api server compatible engine in rust [1]
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