# Multiple machines setup for one repo **URL:** \ **Category:** Questions\ **Created:** [October 29, 2020, 6:52am UTC](https://discuss.dvc.org/t/multiple-machines-setup-for-one-repo/539 "2020-10-29T06:52:41Z")\ **Posts on this page:** 4\ **Page:** 1
**Author:** ![simon](https://avatars.discourse-cdn.com/v4/letter/s/f07891/32.png) [@simon](https://discuss.dvc.org/u/simon)\ **Post date:** [October 29, 2020, 6:52am UTC](https://discuss.dvc.org/t/multiple-machines-setup-for-one-repo/539/1 "2020-10-29T06:52:41Z")
Hi, First of all - thanks for developing such a great tool! We are currently incorporating it in our deep learning workflow for different computer vision projects. I think we got a grasp of how it all should be set up and are able to run our pipelines properly on one machine. One big question that we still can’t figure out is the best approach to experiment and version control with dvc simultaneuosly on several machines. Create separate branches per each machine and iterate there? But what about shared data (the very first dependency in our pipeline) then? Do we just `dvc add data` and commit those changes in one branch (e.g. with tag). And then `git checkout data.dvc` and `dvc checkout data.dvc` on other machines? ---
**Author:** ![dmitry](https://yyz1.discourse-cdn.com/flex035/user_avatar/discuss.dvc.org/dmitry/32/7_2.png) [@dmitry](https://discuss.dvc.org/u/dmitry)\ **Post date:** [October 29, 2020, 8:16am UTC](https://discuss.dvc.org/t/multiple-machines-setup-for-one-repo/539/2 "2020-10-29T08:16:21Z")
Hi @simon, good question! > [@simon](#): > > And then `git checkout data.dvc` and `dvc checkout data.dvc` on other machines? Yep. This will work if you checkout `*.dvc` file and then do `dvc checkout`. Another way is to set up a [data registry](https://dvc.org/doc/use-cases/data-registries) in a separate repository. Users will be doing: ```auto dvc import https://github.com/iterative/dataset-registry tutorial/nlp/Posts.xml.zip # something changed dvc update Posts.xml.zip.dvc # get a specific version dvc update -r my-tag-2.3 Posts.xml.zip.dvc ``` If you need optimizations you can investigate more advanced scenarios: 1. [shared development server](https://dvc.org/doc/use-cases/shared-development-server) scenarios - all users in a single machine with no data duplication 2. Set up data cache in a shared NFS drive and symlinks on the user side - users will have a nice looking workspace with all the files (symlinks actually) but will be reading actual data from NFS. ---
**Author:** ![simon](https://avatars.discourse-cdn.com/v4/letter/s/f07891/32.png) [@simon](https://discuss.dvc.org/u/simon)\ **Post date:** [October 29, 2020, 11:57pm UTC](https://discuss.dvc.org/t/multiple-machines-setup-for-one-repo/539/3 "2020-10-29T23:57:31Z")
Thanks, @dmitry for your response, much appreciated! Data registries makes so much sense! We did set up shared cache on each of our GPU servers and experiment there as per shared development scenario, thanks! And we have our one remote for all projects on one of the servers too. All our servers can only be accesses through SSH due to security requirements which complicated things a bit. We ended up creating a special `dvcuser` with very restricted premissions (just to be able to push and pull data to remote). That way we can include its ssh credentials for that remote in `.dvc/config` so everyone can clone any dvc project, get those credentials pulled and start experimenting. Scenario with accessing that ssh remote with their own credentials by including them in `.dvc/config.local` was not considered safe enough. ---
**Author:** ![dmitry](https://yyz1.discourse-cdn.com/flex035/user_avatar/discuss.dvc.org/dmitry/32/7_2.png) [@dmitry](https://discuss.dvc.org/u/dmitry)\ **Post date:** [October 30, 2020, 5:09am UTC](https://discuss.dvc.org/t/multiple-machines-setup-for-one-repo/539/4 "2020-10-30T05:09:24Z")
The design looks good. I hope the data registry will compliment your scenario. Please let us know if any other questions. We are always happy to help 🙂