Unverified50% confidenceSolutionExact time
PyTorch installed via pip by default often does not include CUDA support, and must be reinstalled by selecting the corresponding CUDA version on pytorch.org.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
8/31/2026
First Seen
Valid until: 11/29/2026
Sources
Related Entities
Related Claims
UnverifiedThe error 'Torch not compiled with CUDA enabled' is usually caused by installing the CPU version of PyTorch, and requires reinstalling the version corresponding to the appropriate CUDA version.77% similarUnverifiedPyTorch embeds a specific version of the CUDA runtime library into its installation package, so there is no need to separately install the full CUDA SDK at the beginner stage.71% similarUnverifiedUnsloth支持pip安装，配合CUDA环境即可快速启动，官方提供了针对不同模型的微调示例Notebook70% similarUnverifiedPyTorch installation packages include the required CUDA runtime libraries, so no separate CUDA installation is needed for training or simple inference; only deployment scenarios such as exporting to TensorRT require it.68% similarUnverifiedWhen using CUDA acceleration, it is necessary to download the CUDA dependency package (cudart-llama-bin-win-cuXX) and the main program package (llama-bXXXX-bin-win-cuda-cuXX), and the CUDA version numbers of both packages must be identical.68% similar
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