NVIDIA and Arm Partner to Bring Deep Learning to Billions of IoT Devices
28 3월 2018 - 3:34AM
GPU Technology Conference — NVIDIA and Arm today
announced that they are partnering to bring deep learning
inferencing to the billions of mobile, consumer electronics and
Internet of Things devices that will enter the global marketplace.
Under this partnership, NVIDIA and Arm will integrate the
open-source NVIDIA Deep Learning Accelerator (NVDLA) architecture
into Arm’s Project Trillium platform for machine learning. The
collaboration will make it simple for IoT chip companies to
integrate AI into their designs and help put intelligent,
affordable products into the hands of billions of consumers
worldwide.
“Inferencing will become a core capability of every IoT device
in the future,” said Deepu Talla, vice president and general
manager of Autonomous Machines at NVIDIA. “Our partnership with Arm
will help drive this wave of adoption by making it easy for
hundreds of chip companies to incorporate deep learning
technology.”
“Accelerating AI at the edge is critical in enabling Arm’s
vision of connecting a trillion IoT devices,” said Rene Haas,
executive vice president, and president of the IP Group, at Arm.
“Today we are one step closer to that vision by incorporating NVDLA
into the Arm Project Trillium platform, as our entire ecosystem
will immediately benefit from the expertise and capabilities our
two companies bring in AI and IoT.”
Based on NVIDIA® Xavier™, the world’s most powerful autonomous
machine system on a chip, NVDLA is a free, open architecture to
promote a standard way to design deep learning inference
accelerators. NVDLA’s modular architecture is scalable, highly
configurable and designed to simplify integration and
portability.
NVDLA brings a host of benefits that speed the adoption of deep
learning inference. It is supported by NVIDIA’s suite of powerful
developer tools, including upcoming versions of TensorRT, a
programmable deep learning accelerator. The open-source design
allows for cutting-edge features to be added regularly, including
contributions from the research community.
The integration of NVDLA with Project Trillium will give deep
learning developers the highest levels of performance as they
leverage Arm’s flexibility and scalability across the wide range of
IoT devices.
“This is a win/win for IoT, mobile and embedded chip companies
looking to design accelerated AI inferencing solutions,” said Karl
Freund, lead analyst for deep learning at Moor Insights &
Strategy. “NVIDIA is the clear leader in ML training and Arm is the
leader in IoT end points, so it makes a lot of sense for them to
partner on IP.”
About ArmArm technology is at the heart of a
computing and connectivity revolution that is transforming the way
people live and businesses operate. Our advanced, energy-efficient
processor designs are enabling the intelligence in more than 125
billion silicon chips and securely powering products from the
sensor to the smartphone to the supercomputer. With more than 1,000
technology partners, including the world’s largest consumer brands,
we are driving Arm innovation into all areas compute is happening
inside the chip, the network and the cloud.
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/.
For further information, contact:Kristin
Uchiyama
Phil
HughesSr. PR Manager, Autonomous
Machines
Arm Public RelationsNVIDIA Corporation
(512) 694-7382(408)
486-2248 phil.hughes@arm.com
kuchiyama@nvidia.com
Certain statements in this press release including, but not
limited to, statements as to: the impact and benefits of the
partnership between NVIDIA and Arm; the impact, benefits and
abilities of Arm IP offerings incorporating NVDLA; AI inferencing
becoming a core capability of IoT devices in the future; the number
of IoT devices in use; and the impact, benefits and abilities of
NVDLA and how it will be supported 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- K for the fiscal period ended January 28,
2018. 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, the
NVIDIA logo and Xavier 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 which they are associated. Features, pricing,
availability and specifications are subject to change without
notice.
NVIDIA (NASDAQ:NVDA)
과거 데이터 주식 차트
부터 9월(9) 2024 으로 10월(10) 2024
NVIDIA (NASDAQ:NVDA)
과거 데이터 주식 차트
부터 10월(10) 2023 으로 10월(10) 2024