diff --git a/.wordlist.txt b/.wordlist.txt
index eb7c92d1..5d64f993 100644
--- a/.wordlist.txt
+++ b/.wordlist.txt
@@ -209,3 +209,11 @@ Diátaxis
 reStructuredText
 localhost
 HTML
+Nvidia
+nvidia
+AWSCLI
+SSM
+CUDA
+G4DN
+DN
+
diff --git a/aws/aws-how-to/index.rst b/aws/aws-how-to/index.rst
index 3f0b8bed..4467854d 100644
--- a/aws/aws-how-to/index.rst
+++ b/aws/aws-how-to/index.rst
@@ -9,6 +9,7 @@ Launching and using Ubuntu instances:
 * :doc:`instances/launch-ubuntu-desktop`
 * :doc:`instances/automatically-update-ubuntu-instances` 
 * :doc:`instances/upgrade-from-focal-to-jammy`
+* :doc:`instances/install-nvidia-drivers`
 
 Using Kubernetes: 
 
@@ -32,4 +33,4 @@ Contributions:
    kubernetes/index
    security/index   
    contributions/index
-  
\ No newline at end of file
+  
diff --git a/aws/aws-how-to/instances/index.rst b/aws/aws-how-to/instances/index.rst
index 2dbbfa9a..dc85e7da 100644
--- a/aws/aws-how-to/instances/index.rst
+++ b/aws/aws-how-to/instances/index.rst
@@ -10,3 +10,4 @@ EC2 instances
    launch-ubuntu-desktop
    automatically-update-ubuntu-instances
    upgrade-from-focal-to-jammy
+   install-nvidia-drivers
diff --git a/aws/aws-how-to/instances/install-nvidia-drivers.rst b/aws/aws-how-to/instances/install-nvidia-drivers.rst
new file mode 100644
index 00000000..645db41d
--- /dev/null
+++ b/aws/aws-how-to/instances/install-nvidia-drivers.rst
@@ -0,0 +1,116 @@
+Install NVIDIA drivers on a GPU-enabled  EC2 instance 
+=====================================================
+
+    
+AWS provides GPU-enabled instance types for workloads that require GPU compute power. G4DN instances are powered by an Nvidia Tesla T4 GPU. This guide will walk you through the driver installation process, including CUDA for machine learning workloads.
+
+Launch your instance
+--------------------
+
+Launch your Ubuntu 22.04 VM using either `AWSCLI or the web console`_. Ensure that you have enough disk space (at least 30GB) as driver installation requires a significant amount of space. You will need more space if you plan to train or run ML models later. 
+
+SSH access is required, so make sure to either open port 22 or enable SSM to access the machine through Session Manager. 
+
+Install the Nvidia driver
+-------------------------
+
+First, login into your instance and check if the GPU is present with this command:
+
+.. code::
+
+    sudo lshw -c video
+
+
+If you are using the correct instance type (G4DN in this case), you should see the following results:
+
+.. code-block:: none
+
+      *-display:0 UNCLAIMED
+           description: VGA compatible controller
+           product: Amazon.com, Inc.
+           vendor: Amazon.com, Inc.
+           physical id: 3
+           bus info: pci@0000:00:03.0
+           version: 00
+           width: 32 bits
+           clock: 33MHz
+           capabilities: vga_controller
+           configuration: latency=0
+           resources: memory:fe400000-fe7fffff memory:c0000-dffff
+      *-display:1 UNCLAIMED
+           description: 3D controller
+           product: TU104GL [Tesla T4]
+           vendor: NVIDIA Corporation
+           physical id: 1e
+           bus info: pci@0000:00:1e.0
+           version: a1
+           width: 64 bits
+           clock: 33MHz
+           capabilities: pm pciexpress msix cap_list
+           configuration: latency=0
+           resources: iomemory:40-3f iomemory:40-3f memory:fd000000-fdffffff memory:440000000-44fffffff memory:450000000-451ffffff
+
+
+The Nvidia Tesla T4 GPU should be listed as unclaimed. Now, install the Nvidia driver:
+
+.. code::
+
+    sudo apt install nvidia-headless-535-server nvidia-utils-535-server -y
+
+> NOTE: Since we are using a headless server (no desktop), the headless driver is sufficient. If you are running this in a fully desktop environment (AWS Workspaces or your own EC2 Desktop), use `nvidia-driver-535`.
+
+After the installation, reboot the instance:
+
+.. code::
+
+    sudo reboot
+
+
+Test if everything got properly installed
+
+.. code::
+
+    sudo lshw -c video
+
+.. code-block:: none
+
+      *-display:0 UNCLAIMED     
+           description: VGA compatible controller
+           product: Amazon.com, Inc.
+           vendor: Amazon.com, Inc.
+           physical id: 3
+           bus info: pci@0000:00:03.0
+           version: 00
+           width: 32 bits
+           clock: 33MHz
+           capabilities: vga_controller
+           configuration: latency=0
+           resources: memory:fe400000-fe7fffff memory:c0000-dffff
+      *-display:1
+           description: 3D controller
+           product: TU104GL [Tesla T4]
+           vendor: NVIDIA Corporation
+           physical id: 1e
+           bus info: pci@0000:00:1e.0
+           version: a1
+           width: 64 bits
+           clock: 33MHz
+           capabilities: pm pciexpress msix bus_master cap_list
+           configuration: driver=nvidia latency=0
+       resources: iomemory:40-3f iomemory:40-3f irq:10 memory:fd000000-fdffffff memory:440000000-44fffffff memory:450000000-451ffffff
+
+The Tesla T4 should no longer "UNCLAIMED".
+
+You can also perform an additional test to check if CUDA was installed:
+
+.. code::
+
+    nvidia-smi
+
+This should display the Nvidia GPU information, including the CUDA version in the top-right corner. If CUDA was not installed, you can visit the `Nvidia website`_ to download the CUDA version that matches the driver you just installed.
+
+
+.. _`AWSCLI or the web console`: https://discourse.ubuntu.com/t/how-to-deploy-ubuntu-pro-in-aws-in-2023/23367
+.. _`Nvidia website`: https://developer.nvidia.com/cuda-downloads
+
+