GitLab has launched a managed offering on Google Cloud for enterprise customers, delivered by GitLab-certified managed service providers.
The arrangement is aimed at organisations that need secure, sovereign deployments, particularly where data residency and regulatory requirements shape infrastructure choices.
GitLab's go-to-market teams and Google Cloud are working with providers including Beyond and Digital Future to support customers moving their software development workflows onto GitLab running on Google Cloud. The companies are targeting enterprises that want a managed DevSecOps setup without having to handle the underlying infrastructure themselves.
Under the model, customers can control where code, pipelines and security data are stored while using the full GitLab platform on Google Cloud. Compliance teams can also review agent actions, merge requests and security findings through GitLab's audit and policy controls.
The announcement also extends the companies' work on artificial intelligence tools inside GitLab's software development environment. The latest versions of Google's Gemini models, including Gemini 3.5, are now available in GitLab Duo Agent Platform, while Google's Gemma models, including Gemma 4, are now available to GitLab Duo Self-Hosted customers.
This gives self-managed users and customers in regulated settings an additional set of model options alongside Gemini. The broader collaboration builds on an earlier arrangement that let customers call Google models through GitLab Duo Agent Platform and count that usage towards existing Google Cloud commitments.
Managed service
Beyond and Digital Future are among the certified partners named to deliver the managed service. They will provide the operational layer for companies that want a hosted setup but still need to meet local sovereignty and residency rules.
Greg Galstaun, Vice President of Global Strategic Engagements at Beyond, outlined the position of enterprise customers in regulated sectors. "The enterprises we work with don't see compliance and AI as a tradeoff," he said. "Delivering a fully managed GitLab offering on Google Cloud gives customers a platform that is secure, reliable, and built to meet the most demanding data residency requirements."
Digital Future framed the offer in similar terms, linking AI adoption with infrastructure and operational support.
"Enterprises shouldn't have to choose between strict data residency and the latest AI capabilities in DevSecOps," said Fayez Tinawi, Chief Technology Officer at Digital Future. "Successful transformation requires the right technology, talent, and skills, and a fully managed GitLab offering on Google Cloud brings all three together: SaaS-like agility with the data sovereignty controls their business demands, and lifts the operational burden of running the platform themselves."
AI models
The addition of new Gemini and Gemma models broadens the range of AI tools available through GitLab's product set. GitLab is part of Google's Gemini early access programme, meaning new Gemini releases will continue to be added to GitLab Duo Agent Platform as they are introduced.
For Google Cloud, the move expands distribution of its models inside a software development platform already used by large engineering teams. It places Google's AI tools directly into coding, workflow and security processes rather than leaving them as separate services.
"From streamlining workflows to writing code, Gemini models are delivering real-world value across a wide variety of use cases," said Brian Goldstein, Vice President and General Manager of Strategic AI and ISV GTM at Google Cloud. "By deepening our integration with GitLab, we are making it easier than ever for developers to leverage our most capable models on the platform where they already do their daily work."
The latest step also reflects a broader trend among software vendors and cloud providers to combine managed hosting, compliance controls and embedded AI models into a single offering for large organisations. Companies in regulated industries have been among the most cautious adopters of AI-assisted software tools because of concerns over data location, auditability and oversight.
GitLab positioned the collaboration as a response to those concerns, particularly for customers handling sensitive workloads and seeking tighter governance around software delivery and security operations.
"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."