Microsoft Azure Now Supports NVIDIA GPU Cloud for Deep Learning
he NVIDIA GPU Cloud provides software containers to accelerate high-performance computing (HPC) and deep learning for researchers and developers.
Microsoft Azure cloud customers can now enable NVIDIA’s GPU Cloud for the training and inference of deep learning models according to a recent report. The NVIDIA GPU Cloud provides software containers to accelerate high-performance computing (HPC) and deep learning for researchers and developers.
The NVIDIA container registry supports popular deep learning tools like TensorFlow, Microsoft Cognitive Toolkit, and PyTorch. Nvidia chips like the Tesla V100 are used in many of the world’s largest supercomputers currently and, alongside other graphics processing unit chips, have been central to the increase of computing power that enables deep learning.
In addition, Microsoft also announced the general availability of Azure CycleCloud, a tool for management of high-performance computing clusters in Azure.
High-performance computing is used in a variety of fields today, including powering health and medical research such as drug discovery, running complex simulations for militaries and governments, and executing solutions in finance.
