This is a and fully integrated minimal runtime environment featuring TensorFlow, an open-source machine learning library, Keras, an open-source neural network library, Jupyter Notebook, a browser-based interactive platform for programming, mathematics, and data science, along with the Python programming language.
The stack is meticulously optimized to run efficiently on NVidia GPUs, leveraging the power of CUDA, a parallel computing platform and API model. Additionally, it incorporates cuDNN, a GPU-accelerated library comprising essential primitives for deep neural networks. This optimization ensures that the stack delivers exceptional performance for GPU-based machine learning tasks.
Furthermore, this environment includes NVidia drivers to ensure seamless compatibility and operation with NVidia GPUs. It also provides a Development preset equipped with program development and building tools, such as a C compiler and make, which enables users to customize and extend the stack as needed for specific applications.
In summary, this software environment is ideal for GPU-accelerated machine learning tasks, offering TensorFlow, Keras, Jupyter Notebook, and Python in a seamlessly integrated package. It is designed for high-performance execution on NVidia GPUs and provides essential development tools for flexibility and customization.