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.
For more comprehensive instructions on checking the available drivers and installing the correct one based on different use-cases, refer to the Ubuntu server documentation for installing NVIDIA drivers.
Launch your instance¶
Launch your Ubuntu 22.04 VM using either AWS CLI 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:
sudo lshw -c video
If you are using the correct instance type (G4DN in this case), you should see the following results:
*-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:
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 desktop environment (AWS Workspaces or your own EC2 Desktop), use nvidia-driver-535
.
After the installation, reboot the instance:
sudo reboot
Test if everything got properly installed
sudo lshw -c video
*-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 be “UNCLAIMED”.
You can also perform an additional test to check if CUDA was installed:
nvidia-smi
This should display the NVIDIA GPU information, including the CUDA version in the top-right corner.
+---------------------------------------------------------------------------------------+
| NVIDIA-SMI 535.104.05 Driver Version: 535.104.05 CUDA Version: 12.2 |
|-----------------------------------------+----------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+======================+======================|
| 0 Tesla T4 On | 00000000:00:1E.0 Off | 0 |
| N/A 26C P8 9W / 70W | 2MiB / 15360MiB | 0% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+
+---------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=======================================================================================|
| No running processes found |
+---------------------------------------------------------------------------------------+
If CUDA was not installed, you can visit the NVIDIA website to download the CUDA version that matches the driver you just installed.