TensorRT Installation on AWS EC2 Ubuntu 18.04 Error


A clear and concise description of the bug or issue.


I am trying to install TensorRT on ec2 Deep Learning AMI (Ubuntu 18.04) Version 48.0.

Since CUDA and cuDNN are installed, I only download the TensorRT installation file which is ‘nv-tensorrt-repo-ubuntu1804-cuda10.2-trt7.0.0.11-ga-20191216_1-1_amd64.deb’.

But, when I run the installation file, I got following error.

I tried the install these libraries (libnvinfer7) but couldnt manage it.

What should I do?

Or could someone suggest me a better way to install TensorRT to ec2 ubuntu system?



TensorRT Version: 7.0
GPU Type:
Nvidia Driver Version:
CUDA Version: 10.2
CUDNN Version:
Operating System + Version:
Python Version (if applicable):
TensorFlow Version (if applicable): 1.15
PyTorch Version (if applicable):
Baremetal or Container (if container which image + tag):

Relevant Files

Please attach or include links to any models, data, files, or scripts necessary to reproduce your issue. (Github repo, Google Drive, Dropbox, etc.)

Steps To Reproduce

Please include:

  • Exact steps/commands to build your repro
  • Exact steps/commands to run your repro
  • Full traceback of errors encountered

Please refer to the installation steps from the below link if in case you are missing on anything
Also, we suggest you to use TRT NGC containers to avoid any system dependency related issues.



@NVES thanks for your reply,

I started a new Deep Learning AMI (Ubuntu 18.04) Version 48.0 instance and try to use TRT NGC but I got an error.

Firstly, I installed the ngc and match my API key. Then, I pull the TensorRT container (docker pull nvcr.io/nvidia/tensorrt:21.08-py3).

After that, I try to run this container by nvidia-docker run -it --rm -v local_dir:nvcr.io/nvidia/tensorrt:21.08-py3 command, I got an error like this.

Why I am getting this error?

What should I do different or what did I do wrong way?



Looks like you mentioned volume path wrong as local_dir:container_dir. Please mention local dir path as local path on your aws machine. Also please give container directory in correct format, ex: /home/data/

Thank you.