en.Wedoany.com Reported - On April 14, 2026, local time, the developer platform GitLab announced an expansion of its partnership with Google Cloud. The GitLab Duo Agent platform can now natively call Google Cloud Vertex AI foundation models, including the Gemini series models. Related usage can be counted towards customers' existing Google Cloud commitment credits.
The core of this collaboration is to enable enterprise customers to seamlessly utilize Vertex AI's model capabilities within the GitLab workflow. AI agents in the GitLab Duo Agent platform can now directly call foundation models from the Vertex AI Model Garden, allowing customers to choose models independently based on performance, cost, or regulatory requirements. Manav Khurana, GitLab's Chief Product and Marketing Officer, stated that the effectiveness of AI agents depends on the context and governance framework in which they operate. GitLab is precisely where contextual information such as issue tracking, code, pipelines, and security findings converges. This collaboration connects it with the strongest models from Vertex AI.
The partnership lowers the barrier to entry in terms of infrastructure deployment. Enterprises can run the GitLab AI gateway on Google Cloud runtime environments such as GKE or Cloud Run, eliminating the need for additional configuration or management of separate AI infrastructure. For self-hosted customers, GitLab also offers a "Bring Your Own Model" option, allowing teams to connect approved models and gateways. Ritika Suri, Managing Director of AI and Data Partnerships at Google Cloud, said that through this collaboration, Google Cloud will provide customers with innovation capabilities to help improve operations, enhance customer experience, and drive innovation in the DevSecOps industry.
The GitLab Duo Agent platform became generally available in January 2026, positioned as an AI-native solution spanning the entire software development lifecycle. It enables multiple AI agents to work in parallel across stages such as planning, building, testing, deployment, and security protection. Leveraging GitLab's advantage as a single source of truth for issues, code, merge requests, pipelines, and security findings, the platform ensures that every agent action adheres to developers' existing access controls, approval rules, and audit logs, guaranteeing that governance coverage is not interrupted when agents take over tasks.
From a market perspective, this collaboration strengthens GitLab's competitiveness in the enterprise AI development tools space. GitHub launched its Copilot Agent platform in February 2026, which also supports developers in calling multiple AI agents to perform different development tasks. By combining Vertex AI's model selection with its own platform's contextual governance capabilities, GitLab is building a differentiated advantage in the enterprise DevSecOps domain. GitLab's total revenue for fiscal year 2025 was $759.2 million, a 31% year-over-year increase, with net losses narrowing to $6.3 million and gross margin remaining at 89%. The GitLab Duo Agent platform previously introduced a pay-as-you-go pricing model, with agent code review priced at $0.25 per instance.
Another key point of this collaboration lies in the flexibility of commercial terms. GitLab explicitly stated in its announcement that customers with Google Cloud commitment credits can count their Duo Agent platform usage towards their existing spending commitments. This arrangement lowers the procurement barrier for large customers already under Google Cloud Enterprise Purchase Agreements, allowing the adoption of AI agents to proceed within existing cloud budget frameworks without requiring separate approval for new expenditures. This partnership technically provides developers with the ability to call Vertex AI models from within the GitLab interface and commercially offers a unified billing path for enterprise IT procurement.
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