At CES 2016, we made a series of announcements highlighting our work to advance the biggest trends in the industry — self-driving cars, artificial intelligence and virtual reality. The focus of our news was NVIDIA DRIVE, an end-to-end deep learning platform for self-driving cars.

1. CES 2016

2. 2
At CES 2016, we made a series of
announcements highlighting our work to
advance the biggest trends in the industry —
self-driving cars, artificial intelligence and
virtual reality. The focus of our news was
NVIDIA DRIVE, an end-to-end deep learning
platform for self-driving cars.
“NVIDIA is quickly making itself the
mainstream computer option for artificial
intelligence, especially for the
cars of the future.”
— Popular Science
NVIDIA DRIVE PX 2NVIDIA DIGITS
NVIDIA DRIVENET
Localization
Planning
Visualization
Perception
DRIVEWORKS

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The combination of deep neural networks,
big data and powerful GPU platforms has
dramatically accelerated the advance of AI.
Our strategy is to accelerate every deep
learning development framework and system
(left), leverage a single architecture across
every computing platform (PC/cloud/
mobile), and create end-to-end solutions for
select markets, such as automotive. The AI
race is on. In 2015, GPU-powered deep
learning systems exceeded human levels of
perception for the first time.
EDUCATION
NVIDIA GPU PLATFORM
TORCH
THEANO
CAFFE
MATCONVNET
PURINE
MOCHA.JL
MINERVA
MXNET
STARTUPS
CHAINER
VITRUVIAN
OPENDEEP
SCHULTS
LABORATORIES
KERAS
BIG SUR
WATSON
TENSORFLOW
CNTK
DL4J

4. 4
With the horsepower of 150 MacBook Pros,
NVIDIA DRIVE PX 2 can perform 24 trillion
deep learning operations per second. The
size of a lunchbox, it can fit neatly into a
trunk. And it’s based on a scalable
architecture — the same that powers the
world’s most advanced supercomputers. So
it can be configured as a single-processor,
air-cooled system for driver assistance, up to
a four-processor, liquid-cooled system for
autonomous driving.
“Mr. Pratt [head of Toyota’s Silicon Valley
AI Lab] said computers like NVIDIA’s are
absolutely necessary for autonomous
vehicles.”
— The Wall Street Journal

5. 5
The end-to-end DRIVE PX platform is loaded
with software, including DIGITS, for training and
visualizing deep neural networks, and DriveNet,
our reference deep neural network.
Compared to traditional computer vision
approaches that use hand-coded rules to
define the world surrounding a car, deep
learning enables machines to learn from
millions of images of actual driving situations.
DriveNet has rapidly achieved remarkable
results across many self-driving applications,
from multi-class detection to segmentation,
and in extremely adverse conditions, like snow.
39%
55%
72%
88%
30%
40%
50%
60%
70%
80%
90%
100%
7/2015 8/2015 9/2015 10/2015 11/2015 12/2015
Top Score
KITTI Dataset: Object Detection
NVIDIA DriveNet

6. 6
The NVIDIA DriveWorks SDK gives developers
a foundation to build applications across the
self-driving pipeline — perception,
localization, planning and visualization.
And we can bring all of these technologies
together into a beautiful cockpit
visualization to give the driver confidence
that the car is accurately seeing the world
around him.
“As a leading provider of graphical hardware
for gamers and researchers alike, NVIDIA
has a lot of expertise in building systems
that can make sense of video input and
make it something understandable.”
— Business Insider
Localization
Planning
Visualization
Perception
DRIVEWORKS

7. 7
Global automakers such as Audi, BMW,
Daimler and Ford; Japanese robot taxi
developer ZMP; and Toyota-partner
Preferred Networks are already using NVIDIA
DRIVE for their autonomous car R&D. In all,
the open, programmable platform is being
used by more than 50 automakers, tier 1
suppliers, software companies and startups.

8. 8
Volvo will use the NVIDIA DRIVE PX 2 deep
learning platform to power a fleet of 100
Volvo XC90 SUVs starting next year in its
Drive Me autonomous-car pilot program.
Autonomous technology is an important
piece of Volvo’s Vision 2020 to create
safer vehicles.
“Volvo’s decision to use the computer from
NVIDIA … shows the staggering amount of
processing power that may be necessary to
guide self-driving cars.”
— Automotive News

9. 9
Our booth, which showcased live demos of
the DRIVE platform and related work from
our partners, was packed throughout the
show.
“The automotive industry is currently
undergoing a gradual shift to autonomous
cars and NVIDIA seems to be at the
forefront of the technology. The launch of
DRIVE PX 2 further accelerates the
company’s race towards autonomous cars.”
— Forbes

10. 10
VR is another mega-trend we’re fueling.
At CES, we unveiled the “GeForce GTX VR
Ready” program to help gamers navigate
their way to an immersive VR experience.
Excitement around VR grew with
recent announcements from HTC and
Oculus. Beyond gaming, VR has the potential
to revolutionize areas such as medicine,
architecture, education, product design
and retail.
“NVIDIA just made it easier to build a
VR-ready gaming PC.”
— Tech Radar
“The VR demos NVIDIA was running had
us both mesmerized and immersed.”
— Hot Hardware
“Oculus Rift and HTC Vive will require
robust PC setups, backed up by graphics
from companies such as NVIDIA.”
— USA Today

11. 11
Our announcements generated a lot of buzz,
including 1,500 articles from top business,
tech and automotive press, which resulted in
a 56% share of voice in English-language
media for “self-driving cars.”
“Driverless Cars Steal the Show.”
— The Wall Street Journal
“NVIDIA’s DRIVE PX 2 Platform Gives it a
Giant Leap in the Autonomous Car Market.”
— Forbes
“Volvo Taps NVIDIA, and the Power of 150
Laptops, for Self-Driving Cars.”
— Automotive News

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And our social media channels lit up…
127M IMPRESSIONS
412K ENGAGEMENTS
22K CONVERSATIONS