NVIDIA has announced immediate availability of the NVIDIA GPU Cloud (NGC) container registry for AI developers worldwide.

In just a few steps, NGC helps developers get started with deep learning development through no-cost access to a comprehensive, easy-to-use, fully optimised deep learning software stack.

The cloud-based service is available immediately to users of the just-announced Amazon Elastic Compute Cloud (Amazon EC2) P3 instances featuring NVIDIA Tesla V100 GPUs. NVIDIA plans to expand support to other cloud platforms soon.

SINGAPORE—October 26, 2017—NVIDIA today announced immediate
availability of the NVIDIA® GPU Cloud (NGC) container registry
for AI developers worldwide.

In just a few steps, NGC
helps developers get started with deep learning development through no-cost
access to a comprehensive, easy-to-use, fully optimised deep learning software
stack.

The cloud-based service
is available immediately to users of the just-announced Amazon Elastic Compute
Cloud (Amazon EC2) P3 instances featuring NVIDIA Tesla® V100 GPUs.
NVIDIA plans to expand support to other cloud platforms soon.

After signing
up for an
NGC account, developers can download a containerised software stack that
integrates and optimises a wide range of deep learning frameworks, NVIDIA libraries and

CUDA® runtime
versions —
which are kept up to date and run seamlessly in the cloud or on NVIDIA DGX™ systems.

“The NVIDIA GPU Cloud
democratizes AI for a rapidly expanding global base of users,” said Jim McHugh,
vice president and general manager of Enterprise Systems at NVIDIA. “NGC frees
developers from the complexity of integration, allowing them to move quickly to
create sophisticated neural networks that deliver the transformative powers of
AI.”

Developers who want to
get started with deep learning right away using the NGC container registry can
follow a three-step process:

1.
Sign up for a no-cost NGC account at www.nvidia.com/ngcsignup.

2.
Run an optimised NVIDIA image on cloud service provider
platform.

3.
Pull containers from NGC and get started.

Key benefits of the NGC container registry
include:

•
Instant
access to the most widely used GPU-accelerated frameworks: Containerised
software includes NVCaffe, Caffe2, Microsoft Cognitive Toolkit (CNTK), DIGITS,
MXNet,

PyTorch, TensorFlow,
Theano and Torch, as well as CUDA for application development.

•
Maximum
Performance: Tuned, tested and certified by NVIDIA for maximum performance,
the NGC container registry enables developers to get optimal performance on
NVIDIA GPUs running on clouds.

•
Pre-integration:
Easy-to-use containers allow users to begin deep learning jobs immediately,
eliminating time-consuming and difficult do-it-yourself software integration.

•
Up to
date: Containers available on the NGC container registry benefit from
continuous NVIDIA development, ensuring each deep learning framework is tuned
for the fastest training possible on the latest NVIDIA GPUs. NVIDIA engineers
continually optimize libraries, drivers and containers, delivering monthly
updates.

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NVIDIA‘s (NASDAQ: NVDA) invention of the GPU in
1999 sparked the growth of the PC gaming market, redefined modern computer
graphics and revolutionised parallel computing. More recently, GPU deep
learning ignited modern AI — the next era of computing — with the GPU

acting as the brain of
computers, robots and self-driving cars that can perceive and understand the
world. More information at http://nvidianews.nvidia.com/.