So if there are already gpu nodes being used for a machine learning workload then having blazing running on the same cluster woud allow you to share those resources. So you could run blazingdb on the same cluster as a machine learning workload and have it either feed that machine learning workload or accelerate some other sql analytics workload. This would allow you to keep your hardware in a state of greater utilization.