Why is the GPU not working out of the box for Deep learning AMI EC2 instance?

Question

I'm having trouble using the GPU for a Deep learning GPU EC2 instance.
The specs of the instance are:

- Deep Learning AMI GPU PyTorch 1.11.0 (Amazon Linux 2) 20220328
- amazon/Deep Learning AMI GPU PyTorch 1.11.0 (Amazon Linux 2) 20220328

When I log into the instance and I run `nvidia smi`, I get the error:

`NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running.`

Similarly, when I run a pytorch (pre-installed) command to check whether it can see a GPU, it returns False:

`(pytorch) [ec2-user@ip-172-31-86-58 ~]$ python3`
`Python 3.9.12 | packaged by conda-forge | (main, Mar 24 2022, 23:25:59)`
`[GCC 10.3.0] on linux`
`Type "help", "copyright", "credits" or "license" for more information.`

`>>> import torch`

`>>> torch.cuda.is_available()`

`False`

The GPU set up should have worked out of the box but how do I fix this?

Shubham_S · Answer

Hello,

Thank you for contacting us and for using AWS Deep learning AMI.

Please note that such issues in the nvidia-smi command can generally occur when an unsupported instance type for the Deep Learning AMI GPU PyTorch 1.11.0 (Amazon Linux 2) 20220328 is used.

As per https://aws.amazon.com/releasenotes/aws-deep-learning-ami-gpu-pytorch-1-11-amazon-linux-2/ , the supported instance types for this AMI are -> G3, P3, P3dn, P4d, G5, G4dn

I was getting same issues which you mentioned when I tried using an unsupported ec2 instance type. Switching to the supported instances resolved the issue for me. Can you try the same at your end ?

If required further help, I would recommend you to provide more information about your Deep learning AMI EC2 instance by opening a support case as we cannot discuss account specific issue in the public posts. You can open a support case with AWS using the link:

https://console.aws.amazon.com/support/home?#/case/create

Thanks :)

knightfoxapps · Answer

Yup same issue here. Documentation is inconsistent:

Deep Learning Proprietary Nvidia Driver AMI GPU TensorFlow 2.13 (Amazon Linux 2)

Please use the following command to activate the TensorFlow 2.13 Pip Environment:

TensorFlow 2.13 ____________________ source /opt/tensorflow/bin/activate

* Supported EC2 instances: P3, P3dn, G3, G5, G4dn.
* For P4 EC2 instances, please use OSS Nvidia Driver DLAMI.
* EC2 P2 Instance is not supported on current DLAMI.

NVIDIA driver version: 535.129.03
CUDA version: 11.8

AWS Deep Learning AMI Homepage: https://aws.amazon.com/machine-learning/amis/
Release Notes: https://docs.aws.amazon.com/dlami/latest/devguide/appendix-ami-release-notes.html
Support: https://forums.aws.amazon.com/forum.jspa?forumID=263
For a fully managed experience, check out Amazon SageMaker at https://aws.amazon.com/sagemaker
Security scan reports for python packages are located at: /opt/aws/dlami/info/
=============================================================================

source /opt/tensorflow/bin/activate

Error: Note that the Amazon EC2 g4dn.2xlarge instance type is not supported by current Deep Learning AMI.

Please refer the DLAMI release notes https://docs.aws.amazon.com/dlami/latest/devguide/appendix-ami-release-notes.html for more information.

Andrew · Answer

I have used multiple instance for with  Deep Learning OSS Nvidia Driver AMI GPU PyTorch 2.1.0 (Ubuntu 20.04) 20240116
Have requested quota for G and P instance types.
And get same problem!

Why is the GPU not working out of the box for Deep learning AMI EC2 instance?

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