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GitLab

Securing the software factory at machine speed Rate limits on GitLab.com are changing Optimize your team See who spent your AI credits and set fair caps per team New MCP tools help platform teams scale automation safely GitLab Duo CLI takes a task from goal to done When to use SAST versus an LLM security scanner GitLab Dedicated: Compliance for a new regulatory era How to calculate DevOps platform total cost of ownership GitLab Critical Patch Release: 19.3.2, 19.2.6, 19.1.8 Co-Create: Building GitLab with our users Prepare for the Cyber Resilience Act Bring your own model to GitLab Duo Self-Hosted with Microsoft Foundry GPT-6 Astra on GitLab: Faster runs, fewer tokens used GitLab’s internal playbook to foster AI-fluent technical teams Critical remote code execution in vm2, a widely used Node.js sandbox library GitLab compliance frameworks: Adhere to SOC 2 in minutes How to recognize your team with GitLab Achievements Making room for what GitLab Patch Release: 19.3.1, 19.2.5, 19.1.7 Git was built for humans — agents need an upgrade When code is abundant When your backlog outgrows your team, GitLab scales remediation Run agentic software delivery inside the boundaries you already trust Build custom flows in minutes with the Flow Creator agent GitLab 19.3 release notes From chaos to context: Building an AI dev workflow From OpenTofu to Argo CD: GitLab as your AWS control plane Avoid the massive end-to-end tax of default full history clones GitLab Critical Patch Release: 19.2.4, 19.1.6, 19.0.8, 18.11.11
Scale software delivery without owning the runner fleet
Kyurim Rhee · 2026-08-25 · via GitLab

Many enterprises choose GitLab Dedicated for a clear reason: a secure and compliant, single-tenant GitLab instance, managed by GitLab. As agentic workflows drive more pipeline volume, full data isolation and runner infrastructure operational burden become a challenge. This leads to the question, “Does owning the runner fleet still make sense?”

With GitLab Dedicated, there is no more need to provision, patch, build, and scale your own runner fleet. Hosted Runners for GitLab Dedicated handles the heavy lifting and delivers a seamless experience across the entire software development lifecycle so your team can focus on shipping.

Hosted Runners for GitLab Dedicated provides a runner fleet isolated from other customers. To support job-level security, each job runs in a newly provisioned, isolated VM that is deleted after the job completes. We provide a scalable and highly reliable runner fleet to support your bursty CI demands and resiliency needs. Creating and managing runners is self-serviceable through Switchboard (GitLab Dedicated management console).

The runner ownership trade-off: Cost vs. user experience

Pipeline load can be unpredictable. To account for this, runner infrastructure can be over-provisioned to give developers the best experience and maintain low wait times. But this drives up the infrastructure cost. Conversely, under-provisioning can save on infrastructure cost, but your developers will waste time waiting for their CI jobs to be picked up. Efforts to fine-tune this balance can monopolize your platform team’s time.

Shift runner operations to GitLab while maintaining control

Hosted Runners for GitLab Dedicated is a fully managed CI execution SaaS offering. It’s backed by a high-performing and reliable runner infrastructure. Key benefits include:

  • Supports compliance: Full isolation/single-tenant runners with same data residency as GitLab Dedicated.
  • Job level security: “One runner for one job” — hosted runners run every job in a standalone, short-lived VM to ensure complete process protection.
  • Network security: Hosted runners can connect to internal artifact registries, secret managers, and deploy targets securely through AWS PrivateLink.
  • Autoscaling for performance and predictability: Customers get reserved, predictable CI runner capacity for critical workloads resulting in improved queue wait times. Our runners scale with your team’s bursty CI demands.
  • High reliability: The Hosted Runners for GitLab Dedicated SLA of 99.9% uptime is supported by highly available runner architecture to ensure your workflows remain stable, resilient, and online.
  • Usage and cost visibility: Track hosted runners' GitLab Credit consumption on the GitLab Credits Dashboard.
  • Consumption pricing: Hosted runners can now draw down from GitLab Credits, allowing you to pay for only what you use.
  • Support you can count on: GitLab’s world-class support team responds to incidents around the clock.

Experience hosted runners in GitLab Dedicated

See Hosted Runners for GitLab Dedicated in action:

Hosted Runners for GitLab Dedicated is available in Linux x86-64 and Linux Arm64 architecture in the following machine sizes.

SizevCPUsMemoryStorageExample tag (x86-64)
Small28 GB30 GBlinux-small-amd64 (default)
Medium416 GB50 GBlinux-medium-amd64
Large832 GB100 GBlinux-large-amd64
X-Large1664 GB200 GBlinux-xlarge-amd64
2X-Large32128 GB200 GBlinux-2xlarge-amd64

Get started with Hosted Runners for GitLab Dedicated

Hosted Runners for GitLab Dedicated is an add-on to GitLab Dedicated. Reach out to your GitLab account team to get started.

If you want to learn more about how GitLab Dedicated can support your compliance posture, talk to our team.

Need inference inside the same GitLab Dedicated boundary? Learn more in our companion article on the single-tenant AI Gateway.