Unverified50% confidenceDecision RuleExact time
Even if the driver for a 16-series GPU supports CUDA 11 or 12, CUDA 10.2 must be installed; otherwise training cannot run.
1
Sources
50%
Confidence
Long-term
Relevance
7/24/2026
First Seen
Sources
YOLOv8环境搭建完整指南:从Miniconda到Ultralytics安装
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.84% 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.80% similarUnverifiedThere is binary incompatibility between major versions of NVIDIA's CUDA toolkit, and pre-compiled packages for PyTorch/JAX are bound to specific CUDA versions73% similarUnverifiedThe core of CUDA includes the CUDA runtime and driver layer, the PTX intermediate instruction set, and companion libraries such as cuDNN, cuBLAS, and TensorRT.71% similarUnverifiedPyTorch 2.1 requires CUDA 11.8 or 12.1.71% similar
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