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NVIDIA GPU-Optimized AMI

NVIDIA | 24.10.1

Linux/Unix, Ubuntu Ubuntu 22.04 - 64-bit Amazon Machine Image (AMI)

Reviews from AWS Marketplace

9 AWS reviews
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    yikesawjeez

AMI is not configured as advertised.

  • March 15, 2024
  • Review verified by AWS Marketplace

None of the advertised utilities are installed in the AMI, neither is CUDA. This is current as of 3/14/24. It appears to be a raw installation of 22.04, by my estimation.

root@ip-172-31-38-109:~/cuda-samples/Samples/5_Domain_Specific/nbody# jupyterlab --version
jupyterlab: command not found
root@ip-172-31-38-109:~/cuda-samples/Samples/5_Domain_Specific/nbody# miniconda --version
miniconda: command not found

There's been a lot of troubleshooting so far with regard to attempting to get cuda installed, so I won't copy-paste my terminal.

1 person found this helpful

    AI researcher unhappy with NVIDIA software

Missing drivers

  • December 18, 2023
  • Review verified by AWS Marketplace

This should be preconfigured to run NVIDIA GPU Cloud (NGC) containers such as the PyTorch one, however it fails on launch on AWS (on a p3.2xlarge instance).

After sshing in, I see this error message:
```
Installing drivers ...
modprobe: FATAL: Module nvidia not found in directory /lib/modules/6.2.0-1011-aws
```
And sure enough, running containers such as PyTorch (https://catalog.ngc.nvidia.com/orgs/nvidia/containers/pytorch) does not work:

```
~$ docker run --gpus all -it --rm nvcr.io/nvidia/pytorch:23.11-py3
docker: Error response from daemon: failed to create task for container: failed to create shim task: OCI runtime create failed: runc create failed: unable to start container process: error during container init: error running hook #0: error running hook: exit status 1, stdout: , stderr: Auto-detected mode as 'legacy'
nvidia-container-cli: initialization error: nvml error: driver not loaded: unknown.
```

    mliz

doesn't include what it claims

  • May 23, 2023
  • Review verified by AWS Marketplace

Claims to include nvidia-cuda-toolkit, but it doesn't. nvcc --version an error message. The other versions are out of date and incompatible.

    shantanu_bakare

Outdated and Useless

  • September 06, 2022
  • Review verified by AWS Marketplace

This AMI is outdated and doesn't have proper packages. This is what Nvidia suggests on their website https://docs.nvidia.com/tao/tao-toolkit/text/tao_toolkit_quick_start_guide.html
but are unable to provide the same on their AMIs

1 person found this helpful
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