The "TensorFlow 1.5 Python 2.7 NVidia GPU CUDA 9.1 Production on Ubuntu" is an Amazon Machine Image (AMI) designed to provide a ready-to-use environment for deep learning applications. This AMI integrates TensorFlow 1.5 with Python 2.7, optimized for NVIDIA GPUs using CUDA 9.1, all running on the Ubuntu operating system. It offers a streamlined setup for developers and researchers aiming to leverage GPU acceleration for machine learning tasks. Key Features and Functionality: - Pre-configured Environment: The AMI comes with TensorFlow 1.5 and Python 2.7 pre-installed, reducing the time and effort required for setup. - GPU Optimization: Utilizes NVIDIA GPUs with CUDA 9.1 support, enabling efficient execution of computationally intensive deep learning models. - Ubuntu OS: Built on the stable and widely-used Ubuntu operating system, ensuring compatibility and reliability. - Scalability: Easily scalable on AWS EC2 instances, allowing users to adjust resources based on project requirements. Primary Value and Problem Solved: This AMI addresses the challenges associated with setting up a deep learning environment by providing a pre-configured, GPU-optimized platform. Users can focus on developing and training machine learning models without the complexities of manual installation and configuration. By leveraging this AMI, developers and researchers can accelerate their workflows, reduce setup time, and ensure compatibility between TensorFlow, CUDA, and the underlying hardware.