Scale AI workloads on any hardware with Cast AI support for TPUs

As organizations face GPU supply bottlenecks, the focus has shifted towards adopting TPUs, with Cast AI automating the provisioning and scaling of TPU resources to simplify hardware diversification. This shift is driven by the need to manage diverse hardware fleets without the complexity and manual effort typically involved, as TPUs are increasingly used beyond internal Google projects to train foundation models. Cast AI's integration allows teams to treat TPUs as standard compute resources by automating lifecycle management and providing operational consistency across different hardware types, including CPUs, GPUs, and TPUs on GKE, as well as AWS Trainium/Neuron on EKS. This automation reduces the need for manual provisioning, enabling teams to focus on model performance while maintaining cost efficiency and ensuring that infrastructure scales based on workload demands rather than manual intervention.