🛠️ Creating a Workbench

🚀 Launch a Workbench

  • Once the Data Connection and Pipeline Server are fully created, it’s time to create your workbench! 🎉

  • Go to Data Science Projects, select your previously created project (userX), and click on Create a workbench

    02 03 create wb

  • Make sure it has the following characteristics:

    • Choose a name for it, like: My Workbench 🌟

    • Image Selection: Minimal Python or Standard Data Science 🐍

    • Container Size: Medium 📦

    • Accelerator: NVIDIA-GPU 💻

  • That should look like:

    02 02 launch workbench 01

  • Add the created Data Connection by clicking on the Connections section and selecting Attach existing connections. Then, click Attach for the created Minio - models connection. 🔗

    02 03 add dc
    02 03 attach dc

  • You should not need to modify any other Workbench settings (such as Storage).

  • Then, click on Create Workbench and wait for your workbench to be fully started. ⏳

  • Once it is, click the Open link to connect to it! 🔗

    02 03 open link

  • Authenticate with the same credentials as earlier. 🔑

  • You will be asked to accept the following settings:

    02 02 accept

  • Go ahead and do so! 👍

  • You should now see this:

    02 02 jupyter

🌟 Git-Clone the Common Repo

We will clone the content of our Git repo so that you can access all the materials created as part of our prototyping exercise. 📚

  • Using the Git UI:

    • Open the Git UI in Jupyter:

      git clone 1

    • Enter the URL of the Git repo:

      https://github.com/luis5tb/neural-magic-workshop.git
      git clone 2

At this point, your project is ready for the work we want to do in it. Let’s get started! 🚀