NVIDIA GPU
Cloud Now Available to Hundreds of Thousands of AI

Researchers
Using NVIDIA Desktop GPUs

NGC Expands Further, with NVIDIA TensorRT Inference Accelerator, ONNX
Compatibility, Immediate Support for MXNet 1.0

SINGAPORE—December 5, 2017—NVIDIA today announced that hundreds of
thousands of AI researchers using desktop GPUs can now tap into the power of NVIDIA
GPU Cloud (NGC)
as the company has extended NGC support to NVIDIA TITAN.

NVIDIA also announced expanded NGC
capabilities — adding new software and other key updates to the NGC container
registry — to provide researchers a broader, more powerful set of tools to
advance their AI and high performance computing research and development
efforts.

Customers using NVIDIA® Pascal™ architecture–powered
TITAN GPUs can sign
up immediately
for a no-charge NGC account and gain full access to a comprehensive catalog of
GPU-optimised deep learning and HPC software and tools. Other supported
computing platforms include NVIDIA DGX–1™, DGX Station and
NVIDIA Volta-enabled instances on Amazon EC2.

Software available through NGC’s
rapidly expanding container registry includes NVIDIA optimised deep learning
frameworks such as TensorFlow and PyTorch, third-party managed HPC
applications, NVIDIA HPC visualisation tools, and NVIDIA’s programmable
inference accelerator, NVIDIA TensorRT™
3.0.

“We built NVIDIA GPU Cloud to give
AI developers easy access to the software they need to do groundbreaking work,”
said Jim McHugh, vice president and general manager of enterprise systems at
NVIDIA. “With GPU-optimised software now available to hundreds of thousands of researchers using NVIDIA desktop
GPUs, NGC will be a catalyst for AI breakthroughs and a go-to resource for
developers worldwide.”

An early adopter of NGC is GE Healthcare. The
first medical device maker to use NGC, the company is tapping the deep learning
software in NGC’s container registry to accelerate bringing the most
sophisticated AI to its 500,000 imaging devices globally with the goal of
improving patient care.

In addition to making NVIDIA
TensorRT available on NGC’s container registry, NVIDIA announced the following
NGC updates:

•      
Open Neural Network Exchange (ONNX) support for TensorRT. 

•      
Immediate support and availability for the first
release of MXNet 1.0

•      
Availability of Baidu’s PaddlePaddle AI
framework

ONNX is an open format originally
created by Facebook and Microsoft through which developers can exchange models
across different frameworks. In the TensorRT development container, NVIDIA
created a converter to deploy ONNX models to the Ten

Together, these additions give
developers a one-stop shop for software that supports a full spectrum of AI
computing needs — from research and application development to training and
deployment.

Launched in
October, NGC is also available free of charge to users of NVIDIA Volta GPUs on
Amazon Web Services and all NVIDIA DGX–1 and DGX Station customers.
NVIDIA will continue to expand the reach of NGC over time.

More information about NGC is available at www.nvidia.com/gpu–cloud.

Subscribe to the NVIDIA blog, follow us on Facebook, Google+, Twitter, LinkedIn and Instagram, and view NVIDIA videos on YouTube and images on Flickr.

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/.