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This and fully integrated software stack combines TensorFlow, an open-source machine learning library, with the Python programming language to create a robust and reliable execution environment. This environment is suitable for various machine learning tasks, such as training, inference, or serving as an API service.

One of its key strengths is its seamless integration into continuous integration and deployment workflows, streamlining the process of developing and deploying machine learning applications. It is optimized for running on CPU, making it efficient for both short and long-running high-performance tasks.

Furthermore, this stack includes a Development preset that provides essential program development and building tools, including a C compiler and make. These tools enable users to customize and extend the environment to meet their specific requirements, making it a versatile choice for developers and data scientists.