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Yandex project
© 2025 Yandex.Cloud LLC
All solutions
    • All solutions for DataSphere
    • Fixing project startup errors
    • Fixing the "Failed to deserialize variable" error
    • You do not see the Table of Contents extension in the JupyterLab extension list
    • Getting access to the GPU g1.1 and higher configurations in DataSphere
    • Resolving issues with long code execution within DataSphere project cells
    • Resolving the "Servant not allocated" error when running code within DataSphere project cells
    • Resolving the "TestsFailure" error
    • Resolving the project opening error
    • Resolving the "Token authentication is enabled" error
    • Resolving errors with project access or login
    • Resolving the "KernelNotResponding The kernel died unexpectedly" error

In this article:

  • Issue description
  • Solution
  • If the issue persists
  1. DataSphere
  2. Resolving the "Servant not allocated" error when running code within DataSphere project cells

Resolving the "Servant not allocated" error when running code within DataSphere project cells

Written by
Yandex Cloud
Updated at November 27, 2023
  • Issue description
  • Solution
  • If the issue persists

Issue descriptionIssue description

When trying to execute code from Jupyter notebook cells within the DataSphere project, you see one or more error messages:

  • Preparing c1.4 instance
  • Execute error: Servant c1.4 not allocated: Internal Error.

SolutionSolution

The Execute error: Servant g1.1 not allocated: Internal Error message can appear due to a temporary shortage of free GPUs in the DataSphere service.
Try to use another configuration (for example, c1.8) or try to rerun the code in the cell later.

If you are using a custom Docker image in your project, check whether the issue is reproducible on a public image (for example, an Ubuntu image).
If the issue persists for a long time, try to open the project page in private mode of your browser - this will rule out issues on the side of the browser cache.

If the issue persistsIf the issue persists

If the above actions didn't help, create a request for support.
In the request, specify the following information:

  1. Link to the project in DataSphere from the address bar of your browser.
  2. Screenshots of the error and the piece of code that causes the error.
  3. Approximate date and time when the issue occurred.
  4. Information about third-party Docker images used in the project.
  5. Description of the use case where you need the c1.4 configuration and tasks you want to solve with it.

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