Sifted Summit Agenda

What are you going to do after you burn through all your free hyperscaler credits?  Should you redo your infrastructure and architecture to jump to another hyperscaler offering free credits?  We know that is not a sustainable business plan. Do all your AI workloads need the same hardware and speed?  Is it more effective to use your free credits for higher compute jobs while paying cash for slower AI workloads?  Not all AI workloads are the same, so why are you putting token after token into the same machine when the rewards vary?  Let's discuss how to optimize your infra credits and funds to extend your runway.