There are different win for both the approach. I train models on spot VMs which could take more than 24 hours. I set the price to be higher than reserved and there is very slim chance that training could be stopped and I get 80% saving on average. I don't want to spend time writing the complex logic to resume training after spot instance dies.

For services though, GCP pre-emptible instances are perfect combo for kubernetes.