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Remove system-level CUDA install from install instructions #2289

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11 changes: 5 additions & 6 deletions docs/quickstart/installation.md
Original file line number Diff line number Diff line change
Expand Up @@ -5,23 +5,22 @@
::::::{tab-set}
:::::{tab-item} Linux

Install CUDA. This library has been tested with version 11.8. You can find CUDA download links [here](https://developer.nvidia.com/cuda-toolkit-archive) and more information about installing CUDA [here](https://docs.nvidia.com/cuda/cuda-quick-start-guide/index.html).
Nerfstudio requires `python >= 3.8`. We recommend using conda to manage dependencies. Make sure to install [Conda](https://docs.conda.io/en/latest/miniconda.html) before proceeding.

:::::
:::::{tab-item} Windows

Install [Git](https://git-scm.com/downloads).

Install Visual Studio 2022. This must be done before installing CUDA. The necessary components are included in the `Desktop Development with C++` workflow (also called `C++ Build Tools` in the BuildTools edition).

Install CUDA 11.8. You can find CUDA download links [here](https://developer.nvidia.com/cuda-toolkit-archive) and more information about installing CUDA [here](https://docs.nvidia.com/cuda/cuda-quick-start-guide/index.html).
Nerfstudio requires `python >= 3.8`. We recommend using conda to manage dependencies. Make sure to install [Conda](https://docs.conda.io/en/latest/miniconda.html) before proceeding.

:::::
::::::

## Create environment

Nerfstudio requires `python >= 3.8`. We recommend using conda to manage dependencies. Make sure to install [Conda](https://docs.conda.io/en/latest/miniconda.html) before proceeding.

```bash
conda create --name nerfstudio -y python=3.8
conda activate nerfstudio
Expand Down Expand Up @@ -55,7 +54,7 @@ To build the necessary CUDA extensions, `cuda-toolkit` is also required. We
recommend installing with conda:

```bash
conda install -c "nvidia/label/cuda-11.7.1" cuda-toolkit
conda install -c "nvidia/label/cuda-11.8.0" cuda-toolkit
```

:::
Expand All @@ -71,7 +70,7 @@ To build the necessary CUDA extensions, `cuda-toolkit` is also required. We
recommend installing with conda:

```bash
conda install -c "nvidia/label/cuda-11.8.0" cuda-toolkit
conda install -c "nvidia/label/cuda-11.7.1" cuda-toolkit
```

:::
Expand Down