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13 changes: 7 additions & 6 deletions docs/install/index.md
Original file line number Diff line number Diff line change
Expand Up @@ -1784,7 +1784,7 @@ Next, we install the ```graphviz``` library that we use for visualizing network
<div class="cpu">

Install the latest version (3.5.1+) of R from [CRAN](https://cran.r-project.org/bin/windows/).
You can [build MXNet-R from source](windows_setup.html#install-the-mxnet-package-for-r), or you can use a pre-built binary:
You can [build MXNet-R from source](windows_setup.html#install-mxnet-package-for-r), or you can use a pre-built binary:

```r
cran <- getOption("repos")
Expand All @@ -1797,14 +1797,15 @@ install.packages("mxnet")

<div class="gpu">

You can [build MXNet-R from source](windows_setup.html#install-the-mxnet-package-for-r), or you can use a pre-built binary:
You can [build MXNet-R from source](windows_setup.html#install-mxnet-package-for-r), or you can use a pre-built binary:

```r
cran <- getOption("repos")
cran["dmlc"] <- "https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/R/CRAN/GPU"
options(repos = cran)
install.packages("mxnet")
cran <- getOption("repos")
cran["dmlc"] <- "https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/R/CRAN/GPU/cu92"
options(repos = cran)
install.packages("mxnet")
```
Change cu92 to cu80, cu90 or cu91 based on your CUDA toolkit version. Currently, MXNet supports these versions of CUDA.

</div> <!-- END of GPU -->
</div> <!-- END - Windows R -->
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4 changes: 2 additions & 2 deletions docs/install/windows_setup.md
Original file line number Diff line number Diff line change
Expand Up @@ -218,11 +218,11 @@ For GPU package:

```r
cran <- getOption("repos")
cran["dmlc"] <- "https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/R/CRAN/GPU/cuX"
cran["dmlc"] <- "https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/R/CRAN/GPU/cu92"
options(repos = cran)
install.packages("mxnet")
```
Change X to 80,90,91 or 92 based on your CUDA toolkit version. Currently, MXNet supports these versions of CUDA.
Change cu92 to cu80, cu90 or cu91 based on your CUDA toolkit version. Currently, MXNet supports these versions of CUDA.
#### Building MXNet from Source Code(GPU)
After you have installed above software, continue with the following steps to build MXNet-R:
1. Clone the MXNet github repo.
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