Google Colab: the same notebook, on Google's machines, yours, or your cloud project
Colab is Google's hosted Jupyter notebook service. It ranges from a free version with GPUs and Gemini help to Colab Enterprise, which runs in your own Google Cloud project and region.
Colab sorts itself by where the code runs. In the free and paid versions it runs on a Google-managed VM tied to your Google account, and notebooks sit in Google Drive. With a local runtime it runs on your own hardware. In Colab Enterprise it runs on VMs in your Google Cloud project, with IAM, your network and regional storage.
Which model runs is Google's choice: the built-in assistant and the Data Science Agent use Gemini, and there is no documented model picker, as of September 2026. Whose account serves it depends on the version: a personal Google account under consumer terms, or your own Google Cloud project under the Cloud Data Processing Addendum. Any other model, such as an open Gemma model, you load onto the runtime yourself.
The family
Colab[1]
WebGemini in Colab[1]
WebData Science Agent in Colab[1]
WebColab CLI[2]
CLILocal runtime[3]
Web plus your machineColab Enterprise[4]
Google Cloud console, BigQueryGemini in Colab Enterprise[5]
Google Cloud consoleData Science Agent in Colab Enterprise[6]
Google Cloud consolePlans
Consumer Colab is free, with paid plans for more compute; Colab Enterprise is billed through Google Cloud. Plans as of September 2026.
| Plan | For | What changes |
|---|---|---|
| Colab (free of charge)[1] | Students, hobbyists, anyone | No guaranteed resources, limits that change over time, very limited GPU access, notebooks run at most 12 hours. |
| Pay As You Go[7] | Occasional heavier use | No subscription. Compute units expire after 90 days. Faster GPUs and a standard Gemini quota. |
| Colab Pro[7] | Regular users | Monthly compute units, faster GPUs, an expanded Gemini quota and high-memory machines. |
| Colab Pro+[7] | Heavy users | More compute units, priority access to premium GPUs, the highest Gemini quota, and background execution for up to 24 hours with the browser closed. |
| Google AI plans[8] | Google AI subscribers | Paid Google AI plans now include premium Colab benefits; Ultra adds background execution and Premium GPU access. Existing Colab subscriptions stay as they are. |
| Colab Enterprise[9] | Organisations on Google Cloud | Billed on your Google Cloud account for the runtimes you use; the Data Science Agent is billed per token. IAM, regional storage and Google Cloud support. |
| Workspace accounts[1] | Google Workspace users | A Workspace admin switches Colab on or off. Colab Pro for Education is closed to new signups. |
Which model runs
Google picks the Gemini model behind the assistant and the Data Science Agent, in Colab and in Colab Enterprise. Which models run in your own code on the runtime is up to you. As of September 2026.
What you can configure
What happens to your data
Europe: GDPR, data residency and the AI Act
Hybrid: the same models in your own account
Colab separates the notebook interface from the machine it runs on. The machine can be a VM in your own Google Cloud project and region, a computer you control, or a GPU your local agent borrows through the CLI.

- Paid Google AI plans now include premium Colab benefits; existing Colab Pro and Pro+ subscriptions stay as they are. 22 Sep 2026.
- The Colab CLI brings Colab GPUs and TPUs to local terminals and coding agents. 5 Jun 2026.
- Vertex AI is now called Gemini Enterprise Agent Platform, and Colab Enterprise is part of it. Sep 2026.
What would help you next?
Learn to decide
The course “From Managed to Hybrid” shows where AI should run: what each layer costs, what you operate and where your data has to stay. In preparation, with a free live session first.
Linda MohamedAI and cloud consultant, AWS Community Hero, Vienna
Roll it out with me
Tell me which tools your teams use or want. In 30 minutes we look at plans, settings, data rules and whether AWS funding can cover part of a pilot. How AWS funding works →
You already know what you need
Book a workshop directly:
- OpenShift AI on AWS lab →
A guided lab on running models on your own platform, next to Amazon Bedrock. - AI Enablement Workshop →
One workshop for one role, up to 12 people: how your team uses these tools well, and what stays inside the rules.

Read more on ai-solutions.wiki
My open knowledge base, with longer comparisons and sources.
Sources
- Colab, research.google.com. https://research.google.com/colaboratory/faq.html
- Colab CLI, developers.googleblog.com. https://developers.googleblog.com/introducing-the-google-colab-cli/
- Local runtime, research.google.com. https://research.google.com/colaboratory/local-runtimes.html
- Colab Enterprise, docs.cloud.google.com. https://docs.cloud.google.com/colab/docs/introduction
- Gemini in Colab Enterprise, docs.cloud.google.com. https://docs.cloud.google.com/colab/docs/chat
- Data Science Agent in Colab Enterprise, docs.cloud.google.com. https://docs.cloud.google.com/colab/docs/use-data-science-agent
- Pay As You Go, colab.research.google.com. https://colab.research.google.com/signup
- Google AI plans, developers.googleblog.com. https://developers.googleblog.com/colab-is-now-part-of-your-google-ai-plan/
- Colab Enterprise, cloud.google.com. https://cloud.google.com/colab/pricing
- Gemini for Google Cloud, docs.cloud.google.com. https://docs.cloud.google.com/gemini/docs/discover/data-governance
- IAM, docs.cloud.google.com. https://docs.cloud.google.com/colab/docs/access-control
- Runtime templates, docs.cloud.google.com. https://docs.cloud.google.com/colab/docs/create-runtime-template
- VPC Service Controls, docs.cloud.google.com. https://docs.cloud.google.com/colab/docs/service-controls
- Gemini activation, docs.cloud.google.com. https://docs.cloud.google.com/colab/docs/gemini-in-colab/set-up-gemini
- DPA and GDPR, Colab Enterprise, cloud.google.com. https://cloud.google.com/terms/data-processing-addendum
- Terms for consumer Colab, research.google.com. https://research.google.com/colaboratory/tos_v5.html
- Data residency in the EU, docs.cloud.google.com. https://docs.cloud.google.com/colab/docs/locations
- AI Act, blog.google. https://blog.google/around-the-globe/google-europe/eu-ai-code-practice/
- Limit: Marketplace VM route retired, research.google.com. https://research.google.com/colaboratory/marketplace.html
- Linda Mohamed, course slides “Start here”, MASE-3, FH Burgenland, September 2026
- Managed vs reserved vs self-hosted inference, ai-solutions.wiki. https://ai-solutions.wiki/comparisons/managed-vs-reserved-vs-self-hosted-inference/
- vLLM, ai-solutions.wiki. https://ai-solutions.wiki/tools/vllm/
- Google Cloud services with data residency (Agent Platform, formerly Vertex AI). https://cloud.google.com/terms/data-residency
- Colab Enterprise runtimes. https://docs.cloud.google.com/colab/docs/runtimes
- EU General-Purpose AI Code of Practice. https://digital-strategy.ec.europa.eu/en/policies/contents-code-gpai
Checked against the vendors' own pages in September 2026. Plans, models and features change often: check the linked pages before you decide.