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AISE PyTorch 0.4.1 Python 2.7 CUDA 9.2 Production

This is a and fully integrated software stack featuring PyTorch, an open-source machine learning library, and the Python programming language. The stack is tailored for both short-term and long-term high-performance tasks and has been optimized for execution on NVidia GPUs.

Included in this stack are the following key components:

CUDA: This parallel computing platform and API model facilitates efficient GPU processing and parallel computing, enhancing overall performance.

cuDNN: A GPU-accelerated library containing specialized primitives designed for deep neural networks, further boosting the speed and efficiency of machine learning tasks.

NVidia Drivers: The stack comes equipped with NVidia drivers, ensuring seamless compatibility and support for NVidia GPU hardware.

Additionally, this environment is bundled with a Development preset, providing essential program development and building tools, such as a C compiler and make, to streamline the software development and building workflows.

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