As the generative AI boom times continue, so does the demand for the hardware to run and train generative AI models at scale. But installing GPUs is expensive. So most devs and organizations turn to the cloud instead. Incumbents in the cloud computing space — Amazon Web Services (AWS), Google Cloud and Microsoft Azure — offer no shortage of GPU and specialty hardware instances optimized for generative AI workloads. But for at least some models and projects, alternative clouds can end up being cheaper — and delivering better availability.