Troubleshoot issues on serverless GPU compute

This page provides information to help you troubleshoot issues when using serverless GPU compute.

Databricks Assistant can help diagnose and suggest fixes for library installation errors. See Use the Assistant to debug compute environment errors.

ValueError: numpy.dtype size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject

The error typically arises when there's a mismatch in the NumPy versions used during the compilation of a dependent package and the NumPy version currently installed in the runtime environment. This incompatibility often occurs due to changes in NumPy's C API and is particularly noticeable from NumPy 1.x to 2.x. This error indicates that the Python package installed in the notebook may have changed the NumPy version.

Recommended solution:

Check the NumPy version in the runtime and ensure it is compatible with your packages. See the serverless GPU compute release notes for environment 4 and environment 3 for information on preinstalled Python libraries. If you have a dependency on a different version of NumPy, add that dependency to your compute environment.