This is a and fully integrated software stack featuring TensorFlow, an open-source machine learning library, and the Python programming language. It offers a stable and well-tested execution environment suitable for various machine learning tasks, including training, inference, and serving as an API service. This stack is designed to seamlessly integrate into continuous integration and deployment workflows, making it efficient for both short and long-running high-performance tasks.
Key components of this stack include:
TensorFlow: An open-source machine learning library widely used for developing and deploying machine learning models.
Python Programming Language: A versatile language commonly used in machine learning and data science.
CUDA: A parallel computing platform and API model that enhances GPU performance and computational efficiency.
cuDNN: A GPU-accelerated library containing specialized primitives for deep neural networks, optimizing machine learning tasks.
NVidia Drivers: Ensuring seamless compatibility with NVidia GPU hardware.
Development Preset: This preset includes essential program development and building tools, such as a C compiler and make, streamlining the software development process.
Overall, this stack provides a reliable and high-performance environment for machine learning tasks, particularly when leveraging NVidia GPU hardware.