Unverified60% confidenceFactExact time
PyTorch 2.1 requires CUDA 11.8 or 12.1.
2
Sources
60%
Confidence
Long-term
Relevance
8/5/2026
First Seen
Sources
Related Claims
UnverifiedThe tutorial demonstrates that a 1050Ti GPU supports a maximum of CUDA 11.7, so the PyTorch 1.13.1 installation command based on CUDA 11.6 is selected.78% similarUnverifiedThere is binary incompatibility between major versions of NVIDIA's CUDA toolkit, and pre-compiled packages for PyTorch/JAX are bound to specific CUDA versions76% similarUnverifiedPyTorch安装的核心原则是CUDA版本必须与显卡驱动匹配76% 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.73% 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.72% similar
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