gcrider | TensorFlow from NVIDIA image
Introduction of gcrider

NVIDIA pioneered a supercharged form of computing loved by the most demanding computer users in the world — scientists, designers, artists, and gamers. For them, we’ve built the equivalent of a time machine.

Fueled by the insatiable demand for better 3D graphics, and the massive scale of the gaming market, NVIDIA has evolved the GPU into a computer brain at the exciting intersection of virtual reality, high performance computing, and artificial intelligence.

TensorFlow from NVIDIA image
This image bundles NVIDIA''s GPU-optimized TensorFlow container along with the base NGC image. The NGC image is an optimized environment for running the containers available on the NGC registry. TensorFlow is an open source software library for numerical computation using data flow graphs. TensorFlow was originally developed by researchers and engineers for the purposes of conducting machine learning and deep neural networks research. This image allows Alibaba Cloud users to immediately start using a GPU-optimized distribution of TensorFlow, greatly reducing the complexity required to set up an optimized software stack

This image bundles NVIDIA's GPU-optimized containers for both TensorFlow 1 and TensorFlow 2 along with the base NGC image. The NGC image is an optimized environment for running the containers available on the NGC registry. The Docker containers available on the NGC container registry are tuned, tested, and certified by NVIDIA to take full advantage of NVIDIA GPU's, the driving force behind innovations in artificial intelligence.

TensorFlow is an open source software library for numerical computation using data flow graphs. TensorFlow was originally developed by researchers and engineers for the purposes of conducting machine learning and deep neural networks research.

This image allows Alibaba Cloud users to immediately start using a GPU-optimized distribution of TensorFlow, greatly reducing the complexity required to set up an optimized software stack.

CLICK HERE to view the detailed user guide for more information. For more information about the product, please visit the Product Page.