---
slug: "gcp-compute-engine-nvidia-p100-retirement"
title: "Compute Engine: NVIDIA P100 GPU shutdown"
summary: "Shutdown date for NVIDIA P100 GPUs on Google Cloud: 15 Sep 2026. After that date, resources that run NVIDIA P100 GPUs cannot be created or accessed."
cloud: "gcp"
service: "Compute Engine"
service_slug: "compute-engine"
category: "feature"
type: "retirement"
announced_date: "2025-09-15"
effective_date: "2026-09-15"
effective_precision: "day"
replacement: "G2 (NVIDIA L4) or G4 (NVIDIA RTX PRO 6000) machine series"
affected_versions: []
source_url: "https://docs.cloud.google.com/compute/docs/deprecations"
extra_source_urls: ["https://docs.cloud.google.com/compute/docs/eol/p100-eos"]
vendor_ref: null
last_checked_at: "2026-11-12T09:56:10.861Z"
created_at: "2026-11-13T13:36:44.208Z"
updated_at: "2026-11-13T13:36:44.208Z"
url: "https://eolwatch.dev/items/gcp-compute-engine-nvidia-p100-retirement"
short_url: "https://eolwatch.dev/i/r"
markdown_url: "https://eolwatch.dev/items/gcp-compute-engine-nvidia-p100-retirement.md"
json_url: "https://eolwatch.dev/items/gcp-compute-engine-nvidia-p100-retirement.json"
source_note: null
---

# Compute Engine: NVIDIA P100 GPU shutdown

Shutdown date for NVIDIA P100 GPUs on Google Cloud: 15 Sep 2026. After that date, resources that run NVIDIA P100 GPUs cannot be created or accessed.

- Effective date: 15 Sep 2026
- Cloud: [GCP](https://eolwatch.dev/cloud/gcp.md)
- Service: [Compute Engine](https://eolwatch.dev/services/gcp/compute-engine.md)
- Type: Retirement
- Category: [Feature](https://eolwatch.dev/categories/features.md)
- Replacement: G2 (NVIDIA L4) or G4 (NVIDIA RTX PRO 6000) machine series
- Announced: 15 Sep 2025
- Official source: [docs.cloud.google.com](https://docs.cloud.google.com/compute/docs/deprecations)
- Last checked: 12 Nov 2026

## What breaks

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).

## What to do

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](https://docs.cloud.google.com/compute/docs/regions-zones/gpu-regions-zones). For those services, see [Gemini Enterprise Agent Platform accelerator locations](https://docs.cloud.google.com/gemini-enterprise-agent-platform/machine-learning/general/locations#accelerators) and [Cloud Workstations GPU availability by region and zone](https://docs.cloud.google.com/workstations/docs/available-gpus#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](https://docs.cloud.google.com/compute/docs/gpus/create-gpu-vm-g-series).
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.

## Replacement

G2 (NVIDIA L4) or G4 (NVIDIA RTX PRO 6000) machine series

## Sources

- [Official source](https://docs.cloud.google.com/compute/docs/deprecations) (docs.cloud.google.com, Official)
- [Additional source](https://docs.cloud.google.com/compute/docs/eol/p100-eos) (docs.cloud.google.com, Official)

Last checked against the first source in this list on 12 Nov 2026.

Page: https://eolwatch.dev/items/gcp-compute-engine-nvidia-p100-retirement | JSON: https://eolwatch.dev/items/gcp-compute-engine-nvidia-p100-retirement.json

The text on this page is drafted with AI assistance from the vendor's text, checked against the official source and approved by a person before it is published.
