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This and fully integrated minimal runtime environment offers a comprehensive set of tools for machine learning and data science tasks. It includes TensorFlow, an open-source machine learning library, Keras, an open-source neural network library, Jupyter Notebook for interactive programming, and the Python programming language.

One of its key features is its optimization for NVidia GPU, which significantly boosts performance for GPU-accelerated tasks. The stack includes CUDA, a parallel computing platform and API model, as well as cuDNN, a GPU-accelerated library of primitives designed for deep neural networks. To ensure seamless operation, it also incorporates NVidia drivers and a Development preset with program development and building tools, including a C compiler and make utility.

This stack is tailor-made for those seeking high-performance machine learning and deep learning environments on NVidia GPUs, making it an ideal choice for a wide range of AI and data science applications.