How to use MXNet with QNAP Container Station
QNAP is heading to AI era, and start with the QuAI - QNAP AI starter kit for developer. Let's see how it work with MXNet.
What is MXNet
- Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, MXNet contains a dynamic dependency scheduler that automatically parallelized both symbolic and imperative operations on the fly. A graph optimization layer on top of that makes symbolic execution fast and memory efficient. MXNet is portable and lightweight, scaling effectively to multiple GPUs and multiple machines.
Please follow following steps to install MXNet framework container on QNAP NAS.
- Open Container station and click on "Create Container".
- Search for keyword "CNTK" and locate CNTK container under 'AI' tab. Click "Install".
- Specify container name and keep rest of the parameters as it is.
- In Advanced Settings > Device, choose "Use GPU resource to run container"
- If you would like to mount any specific NAS folder to this container, you may follow this step. This is optional. In this example, we are trying to mount "Public" folder to this container.
- Finally click on "Create" button and the container will be successfully created and it will be shown in overview section.
- Now your MXNet framework is successfully setup on QNAP NAS. You may access this container using the terminal or ssh and continue to build and train your own DL model.
Checkout the Project site for more details like:
License and Citation
- Licensed under an Apache License-2.0 license.