Considering that AI Workloads running in a public cloud – or a cloud-enabled datacenter – need comprehensive planning and in-depth analysis of cost structures, data and compute need to end up in a cost-optimized production environment.
A post recently written on LinkedIn stated that, “I really don’t know a single customer of mine that doesn’t have a cloud strategy. Yet the details heavily differ. From on-premise to off-premise, from hybrid to public”. This, and several other discussions, prove that moving to the Cloud is in many ways real. But what does that for the rolling out artificial intelligence (AI) initiatives in any given company?
