Does ClearML support running the experiments on any "serverless" environments

Can you please elaborate by what you mean "serverless"?

such that GPU resources are allocated on demand?

You can define various queues for resources according to whatever structure you want. Does that make sense?

Alternatively, is there a story for auto-scaling GPU machines based on experiments waiting in the queue and some policy?

Do you mean an autoscaler for AWS for example?