From b83f5d98177a82cea9a1899f7697c4257def1374 Mon Sep 17 00:00:00 2001 From: Marcelo Villa <36754005+marcelovilla@users.noreply.github.com> Date: Fri, 17 Oct 2025 04:45:56 -0400 Subject: [PATCH 1/4] Update and simplify GPU environment setup instructions Removed instructions for creating a GPU-compatible environment based on PyTorch documentation as it does not show conda commands anymore. Also streamlined the section on using CONDA_OVERRIDE_CUDA and got rid of the `pytorch` channel given its deprecation: https://github.com/pytorch/pytorch/issues/138506 --- docs/docs/how-tos/use-gpus.mdx | 40 +--------------------------------- 1 file changed, 1 insertion(+), 39 deletions(-) diff --git a/docs/docs/how-tos/use-gpus.mdx b/docs/docs/how-tos/use-gpus.mdx index 21f04acf5..90073dd9f 100644 --- a/docs/docs/how-tos/use-gpus.mdx +++ b/docs/docs/how-tos/use-gpus.mdx @@ -30,16 +30,13 @@ Overview of using GPUs on Nebari including server setup, environment setup, and ## 2. Creating environments - By default, `conda-store` will build CPU-compatible packages. To build GPU-compatible packages, we do the following. ### Build a GPU-compatible environment - By default, `conda-store` will build CPU-compatible packages. To build GPU-compatible packages, we have two options: - 1. **Create the environment specification using `CONDA_OVERRIDE_CUDA` (recommended approach)**: + Create the environment specification using `CONDA_OVERRIDE_CUDA`: Conda-store provides an alternate mechanism to enable GPU environments via the setting of an environment variable as explained in the [conda-store docs](https://conda.store/conda-store-ui/tutorials/create-envs#set-environment-variables). While creating a new config, click on the `**GUI <-> YAML**` Toggle to edit yaml config. ``` channels: - - pytorch - conda-forge dependencies: - pytorch @@ -57,41 +54,6 @@ At the time of writing this document, the latest CUDA version was showing as `12 Please ensure that your choice from PyTorch documentation is not greater than the highest supported version in the `nvidia-smi` output (captured above). ::: - 2. **Create the environment specification based on recommendations from the PyTorch documentation**: - You can check [PyTorch documentation](https://pytorch.org/get-started/locally/) to get a quick list of the necessary CUDA-specific packages. - Select the following options to get the latest CUDA version: - - PyTorch Build = Stable - - Your OS = Linux - - Package = Conda - - Language = Python - - Compute Platform = 12.1 (Select the version that is less than or equal to the `nvidia-smi` output (see above) on your server) - - ![pytorch-linux-conda-version](/img/how-tos/pytorch-linux-conda-version.png) - - The command `conda install` from above is: - ``` - conda install pytorch torchvision torchaudio pytorch-cuda=12.1 -c pytorch -c nvidia - ``` - The corresponding yaml config would be: - ``` - channels: - - pytorch - - nvidia - - conda-forge - dependencies: - - pytorch - - pytorch-cuda==12.1 - - torchvision - - torchaudio - - ipykernel - variables: {} - ``` - :::note - The order of the channels is respected by conda, so keep pytorch at the top, then nvidia, then conda-forge. - - You can use `**GUI <-> YAML**` Toggle to edit the config. - - ## 3. Validating the setup You can check that your GPU server is compatible with your conda environment by opening a Jupyter Notebook, loading the environment, and running the following code: ``` From 9cd1960e55e693702eafcc8b330e093b3d11dd29 Mon Sep 17 00:00:00 2001 From: Marcelo Villa <36754005+marcelovilla@users.noreply.github.com> Date: Fri, 17 Oct 2025 10:50:22 +0200 Subject: [PATCH 2/4] Remove unused image --- .../how-tos/pytorch-linux-conda-version.png | Bin 120095 -> 0 bytes 1 file changed, 0 insertions(+), 0 deletions(-) delete mode 100644 docs/static/img/how-tos/pytorch-linux-conda-version.png diff --git a/docs/static/img/how-tos/pytorch-linux-conda-version.png b/docs/static/img/how-tos/pytorch-linux-conda-version.png deleted file mode 100644 index 62c4ac48b59c022c40a5f789b86fe7a6cf22ea34..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 120095 zcmeEuby!qi_b(x!AR!<~2?ikD-6A5bv>>455JPu|f`GJicXu;{f`D{)jM6a75JL|G 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zUJ`UWjt9-xIfIl~-Ej453b^O3lkWfZPUKfev!DX$^&(Ts6E0rhpWo+5?w}}UZUrg+ zmWS^$gDeOq&X1vK0DOw%)zMkuy7|O^9~}MPf+2oT7JwA(Tu|Z#G z@LLx1ufVxw@qZ5m znv)55E{$=F<@yHwC#Fi6V>+`pR z?83#iVA1suQ2M*M{>LExnEihY;$JrQk3syOK_F>&jrh0eKYU2M2L3&fQF>G$W%&C4 E0SD6LLjV8( From 36d9a59a3f2932bff36b07693ecd24bedc05cce2 Mon Sep 17 00:00:00 2001 From: Marcelo Villa <36754005+marcelovilla@users.noreply.github.com> Date: Fri, 17 Oct 2025 11:05:09 +0200 Subject: [PATCH 3/4] Improve writing --- docs/docs/how-tos/use-gpus.mdx | 32 +++++++++++++------------------- 1 file changed, 13 insertions(+), 19 deletions(-) diff --git a/docs/docs/how-tos/use-gpus.mdx b/docs/docs/how-tos/use-gpus.mdx index 90073dd9f..0bc2f7768 100644 --- a/docs/docs/how-tos/use-gpus.mdx +++ b/docs/docs/how-tos/use-gpus.mdx @@ -31,27 +31,21 @@ Overview of using GPUs on Nebari including server setup, environment setup, and ## 2. Creating environments ### Build a GPU-compatible environment - Create the environment specification using `CONDA_OVERRIDE_CUDA`: - - Conda-store provides an alternate mechanism to enable GPU environments via the setting of an environment variable as explained in the [conda-store docs](https://conda.store/conda-store-ui/tutorials/create-envs#set-environment-variables). - While creating a new config, click on the `**GUI <-> YAML**` Toggle to edit yaml config. - ``` - channels: - - conda-forge - dependencies: - - pytorch - - ipykernel - variables: - CONDA_OVERRIDE_CUDA: "12.1" - ``` - Alternatively, you can configure the same config using the UI. - - Add the `CONDA_OVERRIDE_CUDA` override to the variables section to tell conda-store to build a GPU-compatible environment. + conda-store provides an alternate mechanism to enable GPU environments via the setting of an environment variable as explained in the [conda-store docs](https://conda.store/conda-store-ui/tutorials/create-envs#set-environment-variables). + Create the environment specification using `CONDA_OVERRIDE_CUDA` by creating a new environment and clicking on the `**GUI <-> YAML**` toggle to edit the yaml config. + ```yaml + channels: + - conda-forge + dependencies: + - pytorch + - ipykernel + variables: + CONDA_OVERRIDE_CUDA: "12.4" + ``` + Alternatively, you can configure the same variable using the UI. :::note -At the time of writing this document, the latest CUDA version was showing as `12.1`. Please follow the steps below to determine the latest override value for the `CONDA_OVERRIDE_CUDA` environment variable. - -Please ensure that your choice from PyTorch documentation is not greater than the highest supported version in the `nvidia-smi` output (captured above). +At the time of writing this document, the latest CUDA version was showing as `12.4`. Please follow the steps [above](understanding-gpu-setup-on-the-server) to determine the highest supported version to use as an override value for the `CONDA_OVERRIDE_CUDA` environment variable. ::: ## 3. Validating the setup From a6cd03e91b632bec9d72d0b1a5877c0a0ce4fcc9 Mon Sep 17 00:00:00 2001 From: Marcelo Villa <36754005+marcelovilla@users.noreply.github.com> Date: Fri, 17 Oct 2025 11:09:13 +0200 Subject: [PATCH 4/4] Fix header link --- docs/docs/how-tos/use-gpus.mdx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/docs/how-tos/use-gpus.mdx b/docs/docs/how-tos/use-gpus.mdx index 0bc2f7768..0909eb603 100644 --- a/docs/docs/how-tos/use-gpus.mdx +++ b/docs/docs/how-tos/use-gpus.mdx @@ -45,7 +45,7 @@ Overview of using GPUs on Nebari including server setup, environment setup, and Alternatively, you can configure the same variable using the UI. :::note -At the time of writing this document, the latest CUDA version was showing as `12.4`. Please follow the steps [above](understanding-gpu-setup-on-the-server) to determine the highest supported version to use as an override value for the `CONDA_OVERRIDE_CUDA` environment variable. +At the time of writing this document, the latest CUDA version was showing as `12.4`. Please follow the steps [above](#understanding-gpu-setup-on-the-server) to determine the highest supported version to use as an override value for the `CONDA_OVERRIDE_CUDA` environment variable. ::: ## 3. Validating the setup