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Remove system-level CUDA install from install instructions (#2289)

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* Remove system-level CUDA install from Linux install instructions

* Remove system-level CUDA from Windows install instructions

* Un-flip CUDA 11.7 / 11.8
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Brent Yi authored and GitHub committed 2023-08-01 22:50:22 +00:00
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docs/quickstart/installation.md
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@@ -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
@@ -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
```
:::
@@ -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
```
:::