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General information about the Data Science Virtual Machine product
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General information about the Data Science Virtual Machine product

Data Science Virtual Machine (DSVM) is a cloud server with a ready-made Ubuntu 22.04 LTS Machine Learning 64-bit OS image that is suitable for machine learning developers and data analysts.

You can use it to:

  • develop applications for chatbots, recommendation services, recognizing objects in photos and videos, speech synthesis and recognition, and prediction services;
  • model training;
  • experiments with the data.

Platform tools

The Ubuntu 22.04 LTS Machine Learning 64-bit image has Python 3.10 and a list of packages pre-installed — more about packages in the official documentation:

Cost

When using DSVM, only the computing resources of the cloud server are paid for. Resources are paid using cloud platform payment model.

Before using DSVM top-up balance.

Prices for computing resources can be viewed at selectel.ru.

Create a Data Science Virtual Machine

  1. In Control Panel, go to Cloud PlatformServers.
  2. Click Create Server.
  3. Select the ready-made Ubuntu 22.04 LTS Machine Learning 64-bit image.
  4. Select any cloud server configuration with RAM of 2 GB or more and boot disk capacity of 40 GB or more. For fast model training, we recommend using GPU Line configurations — they allow up to four GPUs.
  5. Select the rest of the server settings — see the Create Cloud Server instructions for details.
  6. Press Create.

Launch JupyterLab

  1. Open the page http://<server_IP> in your browser.

    Specify <server_IP> — the public IP address of the cloud server.

  2. Enter the default password:

    ikieg2wahmohtahF