Change8
Error1 reports

Fix ThrowOnCudaError

in XGBoost

Solution

The "ThrowOnCudaError" in xgboost usually arises from insufficient GPU memory or incompatible CUDA driver/toolkit versions. Reduce the `max_bin` or `gpu_id` parameters in your xgboost configuration to alleviate GPU memory pressure, and ensure your CUDA toolkit and driver versions match the xgboost build requirements or consider building from source using a compatible CUDA version.

Related Issues

Real GitHub issues where developers encountered this error:

Timeline

First reported:Oct 14, 2025
Last reported:Oct 14, 2025

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