Is there a clean way to define AI workloads that can run across different GPU providers without provider-specific configuration[D]

been thinking about this problem for a while and most solutions I’ve found either solve part of it or introduce their own complexity the specific problem: we want to be able to run GPU workloads across multiple providers for availability and cost reasons, but maintaining provider-specific deployment