# 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>.

  <br>


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://computationaldocs.zeblok.com/info/1.2.6/more/customised-workstations.md?ask=<question>
```

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The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.