Deep Learning Containers

Truly Scalable Deep Learning

NVIDIA GPU Cloud (NGC) gives you the performance and flexibility to take on your most challenging deep learning projects. It brings the power of NVIDIA AI to every industry, helping scientists and researchers to rapidly build, train, and deploy neural network models and meet evolving demands. This includes a catalog of integrated and optimized deep learning framework containers that take full advantage of NVIDIA GPUs, in the cloud or on-premises.

Truly Scalable Deep Learning

Three Reasons Why

  1. INNOVATION FOR EVERY INDUSTRY

    Data scientists and researchers can quickly tap into the power of NVIDIA AI with the world’s fastest GPU architecture and optimized deep learning framework containers available on NGC. NVIDIA AI is helping to solve some of the most complex problems facing humankind. Providing early detection and finding cures for infectious diseases, reducing traffic fatalities, finding imperfections in critical infrastructure, delivering deep business insights from large-scale data, and much more. Every industry from automotive and healthcare to fintech is being transformed by NVIDIA AI.
  2. TIME TO SAY GOODBYE TO DIY

    These pre-integrated, GPU-accelerated containers include NVIDIA® CUDA® runtime, NVIDIA libraries, and an operating system. They are tuned, tested, and certified by NVIDIA to run on NVIDIA DGX™ Systems, NVIDIA TITAN (powered by NVIDIA Pascal™), and Amazon EC2 P3 instances with NVIDIA Volta™.
  3. ACCESS FROM ANYWHERE

    The catalog of optimized deep learning framework containers on NGC is available for everyone at no cost, and are supported on participating cloud service providers, NVIDIA DGX Systems, and select NVIDIA desktop GPUs. Containerized software allows for portability of deep learning jobs across environments, reducing the overhead typically required to scale AI workloads. Developers and data scientists experimenting on an NVIDIA DGX Station or a PC with the NVIDIA Pascal-powered TITAN GPU, enterprises with NVIDIA DGX-1 in the datacenter, or organizations using NVIDIA GPUs in the cloud now have access to a consistent, optimized set of tools. With NGC, researchers can spend less time on IT and more time experimenting, gaining insights, and driving results with deep learning.

Get Started with NVIDIA GPU Cloud and Amazon EC2

NVIDIA GPU Cloud makes it easy to leverage GPU-optimized deep learning frameworks on-premises or in the cloud. See how to get started quickly with NGC and Amazon Elastic Compute Cloud (Amazon EC2).

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Download the NGC Deep Learning Frameworks Brief

Download the NGC Deep Learning Frameworks Brief

Learn more about the optimizations to the top deep learning frameworks such as TensorFlow, PyTorch, MXnet, Theano, Caffe2, Microsoft Cognitive Toolkit (CNTK), and more, in this brief.

FREQUENTLY ASKED QUESTIONS

GET ACCESS TO GPU-ACCELERATED DEEP LEARNING CONTAINERS WITH NGC