Generally available: Compute Engine supports the Google's custom-developed accelerator Tensor Processing Unit (TPU), providing a converged

## Feature Feature **Generally available**: Compute Engine supports the Google's custom-developed accelerator Tensor Processing Unit (TPU), providing a converged experience across AI accelerators on Google Cloud. You can use the Compute Engine instance API and managed instance group (MIG) API to create and manage TPU VMs. You can perform standard VM configurations such as using a custom OS or configure boot disk size. Compute Engine APIs support the creation and management of TPU slices across all consumption options, enabling small-scale experimentation and large-scale training and inference workloads. For more information, see[TPU resources in Compute Engine](https://cloud.google.com/compute/docs/tpus/tpu-resources-in-compute-engine). ## Feature Feature **Generally available**: In a managed instance group (MIG), obtain the requested number of virtual machine (VM) instances all at once by using bulk mode of the target size policy. Using bulk mode helps you avoid partial VM provisioning in a MIG. Bulk mode is particularly beneficial for batch workloads, such as high performance computing (HPC) or distributed training, that require full capacity before they can start. For more information, see[About bulk mode](https://cloud.google.com/compute/docs/instance-groups/about-bulk-mode).