GitLab adds managed Google Cloud deployment and expands access to Gemini and Gemma

GitLab is introducing a managed offering for its software development platform on Google Cloud, aimed at enterprises that must meet data-residency, sovereignty and other regulatory requirements. The service will be delivered by GitLab-certified providers, including Beyond and Digital Future, allowing customers to run the full GitLab platform on Google Cloud without managing the underlying infrastructure themselves.

Customers will retain control over where their code, software delivery pipelines and security data are stored. At the same time, GitLab is expanding access to Google’s artificial intelligence models, with Gemini 3.5 now available through GitLab Duo Agent Platform and Gemma 4 added for customers running GitLab Duo within their own environments.

Managed service targets regulated organisations

The new service is aimed at organisations that want a managed platform while meeting country-specific sovereignty, data-residency and other regulatory requirements.

This is likely to be most relevant in regulated sectors or markets where data must remain within a particular country, cloud region or customer-controlled system. Under the arrangement, the certified provider will operate the GitLab deployment, while the customer retains authority over data location, access and governance.

Compliance teams will also continue to have access to GitLab’s audit and policy controls. These records cover actions taken by AI agents, code changes submitted for review and security issues identified during development, giving organisations a way to monitor automated activity alongside existing software delivery processes.

GitLab and Google Cloud’s go-to-market teams will work with managed service providers to help customers move to the new architecture. “AI agents are reshaping how software gets built, and the platform at the centre of that shift needs to be one that enterprises can trust with their most sensitive workloads,” said Manav Khurana, chief product and marketing officer at GitLab. “This partnership with Google Cloud gives enterprises access to the right deployment option, models and cost controls that they need to run DevSecOps at scale, on infrastructure they control, with governance that their compliance teams can audit.”

Beyond and Digital Future will be among the first providers to deliver the service. Both companies said the model is intended to help organisations use AI-assisted development tools while meeting strict requirements over data storage and system operation.

Google models reach more GitLab environments

The expanded agreement also widens the range of Google AI models available through GitLab.

Gemini 3.5 can now be used through GitLab Duo Agent Platform, which brings AI-assisted tools into the same environment where developers manage code, reviews, security checks and software releases. GitLab is also participating in Google’s Gemini early-access programme and said newer models will be added as they become available.

Gemma 4 is being offered to GitLab Duo Self-Hosted customers, giving organisations in self-managed and regulated environments another AI model option beyond Gemini.

The distinction concerns the environments in which the models are available. Gemini models are accessible through GitLab Duo Agent Platform, while Gemma expands the model choices available to GitLab Duo Self-Hosted customers in self-managed and regulated environments.

The agreement builds on a collaboration announced in April 2026. That arrangement allowed customers to use Google models through GitLab Duo Agent Platform and count eligible usage towards existing Google Cloud spending commitments.

The latest expansion adds the managed deployment service and extends the range of models available to GitLab customers.