Ok, that’s good to know. So with the autoscaler, can you also define what types of machines you need, for example GPU/No GPU, storage size, memory, etc?
Ok, that’s good to know. So with the autoscaler, can you also define what types of machines you need, for example GPU/No GPU, storage size, memory, etc?
Yes! And you can even run with preemptible instances 🙂
Ok awesome, that’s good to know. Thanks!
Hi @<1559349204206227456:profile|BeefyStarfish55> , you would need to integrate ClearML with k8s for that.
I think this helm chart is what you're looking for
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If you're running on GCP I think using the autoscaler is a far easier and also cost efficient solution. The autoscaler can spin up and down instances on GCP according to your needs.
Also, is the Pro plan autoscaling option the only way to run clearml in the cloud without having a dedicated VM that’s running all the time?
Also, is the Pro plan autoscaling option the only way to run clearml in the cloud without having a dedicated VM that’s running all the time?
Yes, GCP autoscaler is only available in the PRO & Scale/Enterprise