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