Deep Learning Containers

Get Started with NVIDIA GPU Cloud and Amazon EC2

NVIDIA GPU Cloud (NGC) is a GPU-accelerated cloud platform that makes it easy to get started quickly with the top deep learning frameworks on-premises or on Amazon Elastic Compute Cloud (Amazon EC2), with other cloud providers coming soon.

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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

    NGC empowers AI researchers with performance-engineered AI containers featuring deep learning frameworks such as TensorFlow, PyTorch, MXNet, and more. These pre-integrated, GPU-accelerated frameworks, including all necessary dependencies like CUDA runtime, NVIDIA libraries, and an operating system, are tuned, tested, and certified by NVIDIA to run on Amazon EC2 P3 instances with NVIDIA Volta and NVIDIA DGX-1™ and NVIDIA DGX Station™. This eliminates time-consuming and difficult do-it-yourself software integration while allowing users to tackle challenges with AI that were once thought to be impossible.
  3. ACCESS FROM ANYWHERE

    The catalog of optimized deep learning framework containers on NGC is available for everyone at no cost, for use on participating cloud service providers and NVIDIA DGX™ Systems. 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, 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.
Download the NGC Deep Learning Frameworks Brief

Download the NGC Deep Learning Frameworks Brief

Learn more about the optimization of the top deep learning frameworks in this brief. Get started with NGC and all the major frameworks including TensorFlow, PyTorch, MXnet, Theano, Caffe2, Microsoft Cognitive Toolkit (CNTK), and more.

FREQUENTLY ASKED QUESTIONS

GET ACCESS TO GPU-ACCELERATED DEEP LEARNING CONTAINERS WITH NGC