Chances are that if you’re a developer looking to build or deploy an AI model these days, you’re running into a bottleneck — getting and paying for access to GPUs, especially top of the line ones like H100s and TPUs. There is a pervasive ambition to build experiences leveraging the bleeding edge of language and vision models. Over the past decade, these models have continued to require more resources than previous generations. What all of this means practically is that demand for GPUs has outrun supply.