Uber Selects NVIDIA Technology to Power Its Self-Driving Fleets
January 08 2018 - 12:05AM
CES -- NVIDIA and Uber today announced that
the ridesharing company has selected NVIDIA technology for the AI
computing system in its fleet of self-driving vehicles.
Speaking at the opening press conference of CES 2018, NVIDIA
founder and CEO Jensen Huang said that the collaboration utilizes
NVIDIA technology for Uber Advanced Technologies Group’s fleets of
self-driving cars and freight trucks, running AI algorithms that
enable vehicles to perceive the world, predict what will happen
next and quickly choose the best course of action, even in complex
environments.
“The future of transportation will be transformed by mobility
services. Convenient, affordable mobility-as-a-service will reshape
cities and society, and help support the billion-person increase in
the world’s population over the next decade,” said Huang.
“Autonomous vehicles are the critical technology to making mobility
services pervasive. We’re thrilled to be working with Uber to
realize this vision.”
Uber began working on self-driving technology in early 2015, and
launched the first city trials in Pittsburgh, in fall 2016,
followed by a second pilot in Phoenix, starting in early 2017. Over
this period, self-driving Ubers have completed more than 50,000
passenger trips and have logged over 2 million autonomous
miles.
Uber’s use of NVIDIA’s technology reflects the reality that the
computational requirements of self-driving vehicles are enormous.
Self-driving cars and trucks must perceive the world through
high-resolution, 360-degree surround cameras and lidars; localize
the vehicle within centimeter accuracy; detect and track other
vehicles and people; and plan a safe, comfortable path to the
destination. All this processing must be done with multiple levels
of redundancy to ensure the highest level of safety. The computing
demands of driverless vehicles are easily 50 to 100 times more
intensive than the most advanced cars today.
“Developing safe, reliable autonomous vehicles requires
sophisticated AI software and a high-performance GPU computing
engine in the vehicle,” said Eric Meyhofer, head of Uber Advanced
Technologies Group. “NVIDIA is a key technology provider to Uber as
we bring scalable self-driving cars and trucks to market.”
Uber began using NVIDIA GPU computing technology in its first
test fleet of Volvo XC90 SUVs, and currently uses high-performance
NVIDIA processors to run deep neural networks in both its
self-driving ride-hailing cars and self-driving freight trucks. The
development pace of the Uber fleet has accelerated dramatically,
with the last million autonomous miles being driven in just 100
days.
About UBERUber was founded in 2009 to solve an
important problem: how do you get a ride at the push of a button?
More than 5 billion trips later, we’ve started tackling even
greater challenges: making transportation safer with self-driving
cars, delivering food quickly and affordably with Uber Eats, and
reducing congestion in cities by getting more people into fewer
cars.
About NVIDIA NVIDIA‘s (NASDAQ:NVDA) invention
of the GPU in 1999 sparked the growth of the PC gaming market,
redefined modern computer graphics and revolutionized 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/.
Certain statements in this press release including, but not
limited to, statements as to: the performance and abilities of
NVIDIA’s technology being used by Uber in self-driving vehicles; AI
revolutionizing the global transportation industry and its impact
on the safety and experience of driving in the future; and the
goals and impact of the NVIDIA and Uber collaboration are
forward-looking statements that are subject to risks and
uncertainties that could cause results to be materially different
than expectations. Important factors that could cause actual
results to differ materially include: global economic conditions;
our reliance on third parties to manufacture, assemble, package and
test our products; the impact of technological development and
competition; development of new products and technologies or
enhancements to our existing product and technologies; market
acceptance of our products or our partners’ products; design,
manufacturing or software defects; changes in consumer preferences
or demands; changes in industry standards and interfaces;
unexpected loss of performance of our products or technologies when
integrated into systems; as well as other factors detailed from
time to time in the reports NVIDIA files with the Securities and
Exchange Commission, or SEC, including its Form 10-Q for the fiscal
period ended October 29, 2017. Copies of reports filed with the SEC
are posted on the company’s website and are available from NVIDIA
without charge. These forward-looking statements are not guarantees
of future performance and speak only as of the date hereof, and,
except as required by law, NVIDIA disclaims any obligation to
update these forward-looking statements to reflect future events or
circumstances.
© 2018 NVIDIA Corporation. All rights reserved. NVIDIA and the
NVIDIA logo are trademarks and/or registered trademarks of NVIDIA
Corporation in the U.S. and other countries. Other company and
product names may be trademarks of the respective companies with
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A photo accompanying this announcement is available
at http://www.globenewswire.com/NewsRoom/AttachmentNg/2dbecc77-fdef-409b-bd7f-f87e8719aad4
For further information, contact:Sarah
Abboud
Communications Manager
UBER
(740)
579-1829
sabbaud@uber.com
Fazel AdabiPR Manager for Automotive NVIDIA
Corporation (818) 987-7887 fadabi@nvidia.com
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