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This is a pre-packaged and fully integrated software stack featuring TensorFlow, an open-source machine learning library, and the Python programming language. It delivers a dependable and extensively tested execution environment suitable for a wide range of machine learning tasks, including training, inference, and serving as an API service.

Key highlights of this stack include:

TensorFlow: A widely embraced open-source library designed for machine learning and deep learning tasks.
Python Programming Language: A versatile and widely-used language for machine learning and general software development.
Stability and Testing: The stack offers stability and rigorous testing procedures to ensure reliability across various machine learning workflows.
High-Performance Optimization: It is optimized to deliver high performance, catering to both short-term and long-term machine learning tasks, making it versatile for various applications.
Integration-Friendly: This stack seamlessly integrates into continuous integration and deployment (CI/CD) workflows, simplifying the development and deployment processes.
Intel MKL and MKL-DNN Libraries: Built with the Intel Math Kernel Library (MKL) and MKL-DNN libraries, it enhances computational performance on CPU.
Development Tools: The stack includes essential program development and building tools, such as a C compiler and make, as part of its Development preset, streamlining software development tasks.
In summary, this software stack offers a robust and optimized environment for machine learning projects, particularly those focused on CPU-based computations.