Compute Engine GA for TPUs and MIG Bulk Mode
Google Cloud's Compute Engine now offers general availability for Tensor Processing Units (TPUs), enabling unified AI accelerator management for training and inference. Additionally, a new bulk mode for managed instance groups (MIGs) ensures all requested VMs are provisioned simultaneously, preventing partial deployments. These features benefit AI/ML practitioners and batch workload users by simplifying infrastructure management and ensuring resource availability.
- →Generally available
- →Generally available
Features (2) ›
- Compute Engine Generally available
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 in
- Compute Engine Generally available
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://docs.cloud.google.com/release-notes#June_01_2026