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AISE TensorFlow 1.8 Python 2.7 CUDA 9.1 Production

This and fully integrated software stack is a powerful environment for machine learning and data science tasks. It features TensorFlow, a leading open-source machine learning library, and the Python programming language. This combination provides a stable and thoroughly tested execution environment that supports various tasks, including training, inference, and serving as an API service.

Designed with performance in mind, this stack is optimized for NVidia GPU, making it ideal for high-performance computing tasks. It includes essential components such as CUDA, a parallel computing platform and API model, as well as cuDNN, a GPU-accelerated library of primitives tailored for deep neural networks. To ensure seamless operation on NVidia hardware, the stack also includes NVidia drivers.

In addition to its performance enhancements, this stack is well-suited for integration into continuous integration and deployment workflows. It streamlines the development process with a Development preset and includes essential program development and building tools like a C compiler and make utility.

Whether you’re working on short-term or long-term high-performance tasks in machine learning, this software stack provides a reliable and optimized environment for your NVidia GPU-based projects.

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