Hi CharmingPuppy6
Basically yes there is.
The way clearml is designed, is to have queues abstract different types pf resources. for example a queue for single gpu jobs (let's nam "single_gpu") and a queue for dual gpu jobs (let's name it "single_gpu").
Then you spin agents on machines and have the agents pull jobs from specific queues based on the hardware they have. For example we can have a 4 GPU machine with 3 agents, one agent connect to 2xGPUs and pulling Tasks from the "dual_gpu" queue, and then two more agents each one connect with a single gpu, pulling Tasks from "single_gpu" queue. The same idea also scales if you connect it to a Kubernetes cluster isntead of bare-metal / cloud.
Does that answer the question ?