With the new custom compute class API in Google Kubernetes Engine (GKE), this scenario is not just a vision, it's a reality. By giving you fine-grained control over your infrastructure choices, GKE can now prioritize and utilize a variety of compute and accelerator options based on your specific needs ensuring that your applications, including AI workloads, always have the resources they need to thrive. This results in improved cost efficiency, enhanced resource availability, and the flexibility to configure your infrastructure exactly how you want it.