Compute Engine: NVIDIA P100 GPU shutdown

After 15 Sep 2026, you cannot create or access any Google Cloud resources that run NVIDIA P100 GPUs. Besides Compute Engine VM instances, the affected resources include Google Kubernetes Engine nodes, Cloud Workstations workstations and Dataflow pipeline jobs. Until 15 Sep 2026, resources that run NVIDIA P100 GPUs are not affected. Google Cloud does not support products or features that have reached end of support (EOS).

1. Choose a new GPU model. Google recommends the G2 or G4 machine series.
2. Check that the selected GPU model is available in your locations. For services other than Gemini Enterprise Agent Platform, Colab Enterprise and Cloud Workstations, see GPU regions and zones. For those services, see Gemini Enterprise Agent Platform accelerator locations and Cloud Workstations GPU availability by region and zone.
3. For Compute Engine, move to a new VM if the new GPU model runs on an accelerator-optimized machine type or is not supported in the zone of the existing VM. If the existing VM uses Local SSD disks with data you want to keep, move the contents to a Persistent Disk volume first. See Create a G2 instance.
4. Move Persistent Disk volumes to the new VM, reassign static IP addresses, install GPU drivers and your applications, then delete the old VM.
5. If the new GPU model is supported in the same zone and runs on N1 general-purpose machine types, you can modify the existing VM instead: verify quota for the new GPU type, verify that your critical applications are stopped, stop the VM, change the GPU model, and start the VM.
6. For other Google Cloud services, update your configurations to reference a supported GPU model, then restart or recreate your resources.