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How to log into RStudio after deploying? RStudio is asking for authentication, how do I figure out the credentials to use? Do I need to set up credentials directly in the Docker container?
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Gigantum Client v1.5.0 Released
Gigantum Client 1.5.0 is now available. This is a significant release that adds new features and fixes. It is strongly recommended that all users update to this version. This release adds the ability to add "Custom Apps" to a Project, sync while running, and more. Custom…
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Project Migration in v0.11.0
When moving to the latest version of the Gigantum Client (0.11.0), old projects must be migrated. This process can seem a bit intimidating, but is pretty straight forward. More information can be found here: https://docs.gigantum.com/docs/project-migration The most important…
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Gigantum Client v1.4.0 Released
Gigantum Client 1.4.0 is now available. This is a significant release that adds new features and fixes. It is strongly recommended that all users update to this version. The two major changes in this release are improvements to the Authentication workflow and the ability to…
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Gigantum Client v1.3.4 Released
Gigantum Client 1.3.4 is now available. This is a minor release that fixes a bug introduced in Docker Desktop 2.5.0.0. If you had trouble using Gigantum after updating to the latest Docker Desktop version, you should update now. In addition, we've updated Gigantum Desktop…
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·110d# Help
Could not launch development environment as the project is not ready.
Hi! Fresh install of Gigantum on a Mac... The web page on port 10000 comes up fine and i can see the docker contaiener running with no obvious errors. When i click "jupyter lab", however, i get the error above with no stack trace.. appreciate any ideas
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Uploading a project via github/git
I was wondering if it is possible to upload a project that is already hosted on github/git? Ideally I have a place on github/git VCed that I can do some development, and it can then sync to Gigantum when I want to share a runtime with someone? It seems weird to me to have to…
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·107d# Help
Problems with GPU environments on Ubuntu 18.04
I am able to spin up projects on my GPU enabled laptop. Using the Python3 Minimal w/ CUDA 10.1 environment - however, the containers aren't started with a gpu passed in. My GPU driver is 450.80.02 I can't find the logs so not sure what's going on. Appreciate any ideas
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Update CLI to >=1.1.2 if using CUDA bases on a new installation
Recently, NVIDIA drivers have been updated in most package managers so that the latest version (450) is installed. This can lead to issues running CUDA bases. Update the CLI to the latest version and GPUs should be available inside your Projects again. pip install -U gigantum
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