This is a and fully integrated software stack that combines TensorFlow, an open-source machine learning library, with the Python programming language. It offers a stable and thoroughly tested execution environment 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, making it an excellent choice for automating machine learning pipelines.
The stack is specifically designed to excel in both short and long-running high-performance computing tasks and is finely tuned for NVidia GPU acceleration. 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 a hassle-free experience, the stack also incorporates NVidia drivers.
Additionally, it comes with a Development preset, which encompasses program development and building tools like a C compiler and make. These tools empower users to customize and extend the stack to suit their specific needs, enhancing flexibility in development and deployment.
In summary, this software stack offers TensorFlow, Python, and a powerful set of GPU-related libraries and tools, making it a versatile solution for high-performance machine learning tasks, while also facilitating easy integration into DevOps workflows.