GitLab and Google Cloud Expand Their Partnership: Full Data Control, Broader AI Choice, and One Bill

Organizations adopting AI in software development often face a real tradeoff.

They want access to the latest AI models to speed up coding, reviews, testing, and security analysis. But they also need to meet compliance requirements, control where their data lives, and keep visibility into every stage of software delivery.

The latest expansion of the GitLab and Google Cloud partnership takes both sides of that tradeoff seriously.

Organizations in regulated and data-sensitive industries no longer have to choose between sovereign control over their software supply chain and modern, AI-assisted development.

With this expansion, you can run GitLab as a fully managed platform on Google Cloud — delivered by GitLab-certified managed service providers — while keeping your code, pipelines, and security data within the region and jurisdiction your regulations require.

GitLab Can Now Be Fully Managed on Google Cloud

The biggest news here is GitLab available as a fully managed offering, delivered through GitLab-certified managed service providers (MSPs).

Running GitLab at scale takes real effort. Infrastructure needs maintenance, upgrades need planning, backups need monitoring, and availability needs watching. With the managed model, certified MSP partners handle all of that while development teams keep working in GitLab as usual.

Here’s what that opens up.

Keep Data Where Regulations Require

The managed GitLab offering on Google Cloud lets organizations decide where their code repositories, CI/CD pipelines, and security data live—all on Google Cloud infrastructure. That makes it a lot easier to meet regional data residency and sovereignty requirements.

Reduce Infrastructure Management

Instead of spending internal resources on platform administration, teams can focus on shipping software. The MSP handles the underlying GitLab environment, cutting operational overhead without dropping enterprise-grade service levels.

Maintain Auditability

As AI gets more involved in software delivery, visibility matters more. GitLab’s built-in audit capabilities let organizations track merge requests, security findings, policy decisions, and AI-assisted actions—so governance holds even when AI agents are in the loop.

New Gemini Models Are Available in GitLab Duo Agent Platform

The second big update is on the AI side.

GitLab Duo Agent Platform now gives teams access to the latest Gemini models, including Gemini 3.5 Flash. Unlike a standalone assistant, the model works with full software delivery context: the merge request, the pipeline, deployment targets, security findings, and project history. Every agent action runs under GitLab’s policy and audit controls.

That context is what makes the difference.

A standalone AI assistant sees a piece of code. GitLab Duo Agent Platform sees the code, the merge request, the pipeline, deployment targets, security findings, and project history. That’s what makes more advanced use cases possible:

• Code generation and completion
• Automated review suggestions
• Multi-file refactoring
• Architecture analysis
• Security investigations
• CI/CD workflow optimization

Because GitLab participates in Google’s Gemini early-access program, teams can also expect access to new Gemini models as they roll out.

Gemini or Gemma? Organizations Now Have Both Options

Not every organization has the same AI requirements. Some want the latest proprietary models. Others need full control over AI infrastructure. The expanded partnership covers both.

Gemini for Performance and Advanced Reasoning

The latest Gemini models handle a wide range of software development tasks—from low-latency code assistance to complex architectural and security analysis. For teams looking to get the most out of AI capabilities, Gemini is the go-to.

Gemma 4 for Self-Hosted Environments

Organizations with stricter governance requirements can now run Gemma 4 through GitLab Duo Self-Hosted. Requests and responses stay inside the organization’s own infrastructure, whether that’s on-premises or in a private cloud. For industries with tight compliance requirements, that’s an extra layer of control over AI operations.

Use Existing Google Cloud Commitments to Fund GitLab

There’s also a practical procurement angle here.

GitLab and GitLab Duo Agent Platform are now available through Google Cloud Marketplace. For organizations that already have Google Cloud commitments, that means they can put those commitments toward GitLab and AI adoption—no extra vendor contracts or procurement cycles needed.

The short version: platform, infrastructure, and AI spending all go through one commercial framework. That means:

• Applying existing Google Cloud commitments
• Consolidating infrastructure and AI spending
• Cutting down on procurement complexity
• Centralizing billing and cost tracking

A More Unified Approach to DevSecOps

Most organizations are running a growing pile of disconnected tools. One for source code. Another for AI assistance. More for security scanning, governance, compliance, and deployment.

As the tool count grows, visibility and control slip.

The expanded GitLab and Google Cloud partnership pulls AI, software delivery, governance, and cloud infrastructure into one place. So model access, compliance controls, deployment workflows, and spending stay connected—without adding more moving parts.

What This Means for Organizations

This isn’t just another AI model added to the development stack.

It’s a managed deployment option, broader AI model choice, and simpler commercial adoption through Google Cloud Marketplace—all in one announcement.

For organizations that want to scale AI-assisted software development without losing control over security, compliance, or costs, this is a more practical path forward. Innovation and governance don’t have to be a tradeoff anymore.

Build AI-Powered DevSecOps with Cloudfresh

The latest GitLab and Google Cloud updates open real opportunities: simpler platform management, faster AI-assisted software delivery, and tighter control over security and compliance.

As a GitLab Select Partner and Google Cloud Premier Partner, Cloudfresh helps organizations adopt GitLab and Google Cloud in a way that fits their security, compliance, and software delivery goals.