This is a and fully integrated minimal runtime environment equipped with a powerful machine learning and deep learning stack. The stack comprises the following components:
TensorFlow: An open-source machine learning library known for its versatility and scalability.
Keras: A popular open-source neural network library that simplifies the creation of deep learning models.
Jupyter Notebook: A web-based interactive platform for programming, data analysis, mathematics, and data science.
Python Programming Language: A versatile and widely-used language for machine learning and general software development.
This stack is finely tuned for optimal performance on NVidia GPUs and includes essential components to facilitate GPU-accelerated deep learning tasks:
CUDA: A parallel computing platform and API model that maximizes GPU capabilities.
cuDNN: A GPU-accelerated library containing essential primitives for deep neural networks.
NVidia Drivers: Ensuring compatibility and seamless operation with NVidia GPUs.
Development Tools: The stack is bundled with a set of program development and building tools, including a C compiler and make, making it well-suited for both development and production environments.
In summary, this environment is tailored for high-performance machine learning and deep learning tasks, leveraging NVidia GPU capabilities to accelerate computations and streamline the development process.