I want to enable deployment of nvidia-tensorrt 220.127.116.11 on a computer which has no access to the outside world except to a repository-manager (artifactory), during the deployment process.
we configured a proxy to https://developer.download.nvidia.com/compute/redist/, managed to fetch nvidia-tensorrt but fail fetching its direct dependencies: nvidia-cublas, nvidia-cuda-nvrtc, nvidia-cuda-runtime, nvidia-cudnn.
Can you share which steps are needed in order to enable a repository-manager to give access to nvidia-tensorrt 18.104.22.168 and its dependencies?
are there additional repositories to link to s.t. during installation all needed trt’s dependency tree can be accessed?
following Installation Guide :: NVIDIA Deep Learning TensorRT Documentation, I managed to see only the above nvidia repository mentioned.
should I connect these repositories using credentials of a registered user or a certain key?
are there any additional configuration required?
TensorRT Version: 22.214.171.124
CUDA Version: 11.2
CUDNN Version: 8.1.1
Operating System + Version: ubuntu18.4
Python Version (if applicable): 3.8
TensorFlow Version (if applicable): 2.5.5