Nvidia Announces AI Cloud Container Registry Service for Deep Learning Acceleration
Published2017.10.27 12:29Nvidia has announced the launch of the NVIDIA GPU Cloud (NGC) container registry service for AI developers worldwide.
Developers can immediately access a fully optimized comprehensive deep learning software stack through NGC at no cost through a simple process.
In particular, users of Amazon Elastic Compute Cloud (EC2) P3 instances equipped with the recently announced NVIDIA Tesla V100 GPU can immediately use this cloud-based service. Nvidia plans to expand support to other cloud platforms in the near future.
This service can be used by registering an NGC account and downloading containerized software stacks. The containers include deep learning frameworks, NVIDIA libraries, and CUDA runtime versions optimized and integrated together, maintaining the latest updates to run smoothly on cloud or NVIDIA DGX systems.
Jim McHugh, Vice President and General Manager of Enterprise Systems at Nvidia, stated, "NVIDIA GPU Cloud provides an AI service accessible to anyone among users rapidly expanding globally," and added, "Through NGC, developers can now accelerate the development of advanced neural networks implementing AI's transformative capabilities, freed from complex software integration processes."
Key features of the NGC container registry include various software such as NVCaffe, Caffe2, Microsoft Cognitive Toolkit (CNTK), DIGITS, MXNet, PyTorch, TensorFlow, Theano, Torch, and CUDA for application development.
Through the NGC container registry certified after tuning and testing by Nvidia, developers can secure optimal performance from NVIDIA GPUs running on the cloud. Developers can immediately undertake deep learning tasks without the software integration process that would be difficult to perform independently.
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