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Why would you want to provision your own k8s cluster, if you can use EKS, AKS or similar?


I don't. I use a cloud cluster. But that still has to be provisioned? You need to choose size, node pool, VPC, region, etc.


EKS, GKE and the like have a number of limitations. For example: they can be pretty far behind in the version of K8S they support (GKE is at 1.15 currently, EKS at 1.16; K8S 1.18 was released in at the end of March this year.


One example I worked on myself: when you need to train lots of ML models and need lots of video cards. Those would be damn expensive in the cloud!




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