This is a and fully integrated software stack featuring PyTorch, an open-source machine learning library, and the Python programming language. The stack is tailored for both short-term and long-term high-performance tasks and has been optimized for execution on NVidia GPUs.
Included in this stack are the following key components:
CUDA: This parallel computing platform and API model facilitates efficient GPU processing and parallel computing, enhancing overall performance.
cuDNN: A GPU-accelerated library containing specialized primitives designed for deep neural networks, further boosting the speed and efficiency of machine learning tasks.
NVidia Drivers: The stack comes equipped with NVidia drivers, ensuring seamless compatibility and support for NVidia GPU hardware.
Additionally, this environment is bundled with a Development preset, providing essential program development and building tools, such as a C compiler and make, to streamline the software development and building workflows.