This and fully integrated software stack combines TensorFlow, a prominent open-source machine learning library, with the versatile Python programming language. It offers a reliable and thoroughly tested execution environment suitable for various machine learning tasks, including training, inference, and serving as an API service.
Engineered to excel in both short-term and long-term high-performance computing tasks, this stack is optimized for CPU-based systems. It seamlessly fits into continuous integration and deployment workflows, facilitating the integration of machine learning models into production environments.
Additionally, this stack includes a Development preset, encompassing a comprehensive set of program development and building tools, such as a C compiler and make utility. This feature-rich environment is a valuable asset for developers and data scientists looking to work with TensorFlow and Python for machine learning projects.