GitLab adds Microsoft Foundry support to Duo self-hosted AI
GitLab announced an expansion of its Duo Self-Hosted offering to work with models deployed through Microsoft Foundry. The integration supports model families from OpenAI GPT, Anthropic Claude, Meta Llama and Mistral, allowing enterprises to run AI development capabilities inside their own Azure environment.
Key points
- GitLab Duo Self-Hosted now connects to Microsoft Foundry models, including OpenAI GPT, Anthropic Claude, Meta Llama, and Mistral.
- Enterprises can run AI workflows in their own Azure environment, keeping data residency and control over model deployment.
- Teams must manage model capacity, networking, credentials and compatibility, as GitLab no longer hosts the models.
The architecture consists of a self‑managed GitLab instance, a self‑hosted GitLab AI Gateway, and one or more model endpoints hosted on Foundry. Feature‑level model selection lets teams assign different models to code suggestions, agentic workloads or high‑volume tasks, and swap models without altering the development workflow. The move targets organizations with data residency, sovereignty, regulatory or network isolation requirements.
GitLab notes that this flexibility shifts operational responsibility to engineering and platform teams, who must handle model deployment, capacity, networking, credentials, availability and lifecycle. Compatibility between Microsoft Foundry’s catalog and GitLab’s supported matrix must be verified, highlighting a broader shift toward model‑agnostic control layers where the DevSecOps platform manages workflow while the organization controls the underlying AI models.
GitLab Duo Expands Self-Hosted AI Options Through Microsoft Foundry
infoq.com · 22 September 2026
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