pelayo-felgueroso/tensorflow-gpu-setup
Step-by-step guide to installing TensorFlow with GPU support on Conda.
This guide helps machine learning practitioners set up TensorFlow to use their NVIDIA GPU for faster model training and inference. It provides a step-by-step process for installing the specific versions of TensorFlow, CUDA, and cuDNN needed to activate GPU acceleration within a Python virtual environment. The typical user is a data scientist or ML engineer working on Windows with an NVIDIA GPU who struggles with version conflicts.
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Use this if you are a data scientist or ML engineer using Windows and an NVIDIA GPU, and you need to get TensorFlow running with GPU acceleration without encountering common version conflicts.
Not ideal if you are using a different operating system (like Linux or macOS), a different GPU vendor (like AMD), or need a TensorFlow version newer than 2.10.
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Apr 15, 2025
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