eGPU, nvidia RTX 4090, Linux (Ubuntu), laptop with existing nvidia GPU

AI & Data Science Deep Learning (Training & Inference) TensorRT
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1

Description

I want to buy an external GPU (eGPU) for a laptop running Linux (ubuntu) and already has one nvidia GPU (NVIDIA GeForce RTX 3080 Ti Laptop GPU). I want to use both GPUs to train AI models developed in pytorch. The laptop has Thunderbolt 4 Could you propose a suitable eGPU for this case (e.g. AORUS RTX 3080 Ti GAMING BOX, or, razer core x chroma external graphics enclosure with nvidia RTX 4090) ?

Environment

TensorRT Version:
GPU Type:
Nvidia Driver Version:
CUDA Version:
CUDNN Version:
Operating System + Version:
Python Version (if applicable):
TensorFlow Version (if applicable):
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

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  • Exact steps/commands to build your repro
  • Exact steps/commands to run your repro
  • Full traceback of errors encountered
2

Hi,

This forum talks more about updates and issues related to the TensorRT.
We recommend you to please reach out to the right platform to get better help

Please refer to the following support matrix document for information regarding hardware compatibility with TensorRT

Thank you.