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# Reference architectures
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You can set up GitLab on a single server or scale it up to serve many users.
This page details the recommended Reference Architectures that were built and verified by GitLab's Quality and Support teams.
This page details the recommended Reference Architectures that were built and
verified by GitLab's Quality and Support teams.
Below is a chart representing each architecture tier and the number of users they can handle. As your number of users grow with time, it’s recommended that you scale GitLab accordingly.
Below is a chart representing each architecture tier and the number of users
they can handle. As your number of users grow with time, it’s recommended that
-[Instance level replication with GitLab Geo](#instance-level-replication-with-gitlab-geo-premium-only)
As you implement these components, begin with a single server and then do
backups. Only after completing the first server should you proceed to the next.
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## Configure GitLab to scale
NOTE: **Note:**
From GitLab 13.0, using NFS for Git repositories is deprecated. In GitLab 14.0, support for NFS for Git repositories is scheduled to be removed. Upgrade to [Gitaly Cluster](../gitaly/praefect.md) as soon as possible.
From GitLab 13.0, using NFS for Git repositories is deprecated. In GitLab 14.0,
support for NFS for Git repositories is scheduled to be removed. Upgrade to
[Gitaly Cluster](../gitaly/praefect.md) as soon as possible.
The following components are the ones you need to configure in order to scale
GitLab. They are listed in the order you'll typically configure them if they are
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as with time they may be adjusted higher or lower depending on the scale of your
environment's workload. If you're running the environment on a Cloud provider
you may need to refer to their documentation on how configure IOPS correctly.
1. The architectures were built and tested with the [Intel Xeon E5 v3 (Haswell)](https://cloud.google.com/compute/docs/cpu-platforms)
CPU platform on GCP. On different hardware you may find that adjustments, either lower
or higher, are required for your CPU or Node counts accordingly. For more information, a
[Sysbench](https://github.com/akopytov/sysbench) benchmark of the CPU can be found