gcrider | NVIDIA GPU Cloud Virtual Machine 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.

NVIDIA GPU Cloud Virtual Machine Image
The NVIDIA GPU Cloud Virtual Machine Image is an optimized environment for running GPU-optimized deep learning frameworks and HPC applications available from the NVIDIA GPU Cloud container registry. • Provides AI researchers with fast and easy access to NVIDIA GPUs in the cloud, with performance-engineered deep learning framework containers that are fully integrated, optimized, and certified by NVIDIA. • NVIDIA accelerates innovation by eliminating the complex do-it-yourself task of building and optimizing a complete deep learning software stack tuned specifically for GPUs. • Online support by a community of NVIDIA deep learning experts

The NVIDIA GPU Cloud (NGC) Virtual Machine Image is an optimized environment for running GPU-optimized deep learning frameworks and HPC applications available from the NVIDIA GPU Cloud container registry. The Docker containers available on the NGC container registry are tuned, tested, and certified by NVIDIA to take full advantage of NVIDIA GPUs, the driving force behind accelerated computing and artificial intelligence. The GPU accelerated deep learning frameworks and applications on the NGC container registry include: NVCaffe, Caffe2, CNTK (Microsoft Cognitive Toolkit), Digits, MXNet, PyTorch, TensorFlow, Theano, Torch and CUDA.  Containers from the NGC container registry require this Image for the best GPU acceleration on Alibaba Cloud GN5 GPU instances.

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