# Customised Workstations

### Objective

Containerizing third party algorithms and using Zeblok's Ai-MicroCloud™ to provide access to more audiences.

### **Steps to follow**

Zeblok offers a basic minimal notebook with pre-installed CUDA Libraries and the associated Docker Hub URL and Dockerfile Urls are given below.

<https://hub.docker.com/u/zeblok> (Docker hub) <https://github.com/zeblok/dockerImagesFiles> (Dockerfiles on github)

* Developers can use one of the Zeblok’s ready to use Docker Images as a base Image in his/her Dockerfile.
* Developers can write the instructions to install dependencies that are required by the Algorithm. (For Instance, if a user’s Algorithm requires BlazingSQL and Rapids AI as dependency, the user can take the Minimal notebook as base and install the dependencies on top of that base in a new Dockerfile as shown below).

```
ARG BASE_CONTAINER=zeblok/minimal-notebook:v0.0.7
FROM $BASE_CONTAINER
USER $NB_UID
RUN pip install -q --pre bentoml
RUN pip install 'scikit-learn>=0.23.2' 'pandas>=1.1.1'
USER $NB_UID
```

* After writing the Instructions for installing the dependencies, the developer needs to build the Image from the Dockerfile using the command \`**docker build -t ‘ALGO\_NAME:VERSION**’ .
* After Building the image user can push the image to dockerHub using the command&#x20;

  \`**docker push dockerUsername/ALGO\_NAME:VERSION**\`.
* After successfully pushing the Docker Image developer will share the docker image Tag, short description, and an Image (400x220px) to <akash.sengar@zeblok.com>.

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