Ok awesome, that’s good to know. Thanks!
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 🙂
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
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?
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.
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
None
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?