NXP Announces Expansion of its Scalable Machine Learning Portfolio and Capabilities
19 Octubre 2020 - 8:05AM
NXP Semiconductors N.V. (NASDAQ: NXPI)
today announced that it is enhancing its machine learning
development environment and product portfolio. Through an
investment, NXP has established an exclusive, strategic partnership
with Canada-based Au-Zone Technologies to expand NXP’s eIQ™ Machine
Learning (ML) software development environment with easy-to-use ML
tools and expand its offering of silicon-optimized inference
engines for Edge ML.
Additionally, NXP announced that it has been working with Arm as
the lead technology partner in evolving Arm® Ethos-U™ microNPU
(Neural Processing Unit) architecture to support applications
processors. NXP will integrate the Ethos-U65 microNPU into its next
generation of i.MX applications processors to deliver
energy-efficient, cost-effective ML solutions for the fast-growing
Industrial and IoT Edge.
“NXP’s scalable applications processors deliver an efficient
product platform and a broad ecosystem for our customers to quickly
deliver innovative systems,” said Ron Martino, Senior Vice
President and General Manager of Edge Processing at NXP
Semiconductors. “Through these partnerships with both Arm and
Au-Zone, in addition to technology developments within NXP, our
goal is to continuously increase the efficiency of our processors
while simultaneously increasing our customers’ productivity and
reducing their time to market. NXP’s vision is to help our
customers achieve lower cost of ownership, maintain high levels of
security with critical data, and to stay safe with enhanced forms
of human-machine-interaction.”
Enabling Machine Learning for
All
Au-Zone’s DeepView™ ML Tool Suite will augment eIQ with an
intuitive, graphical user interface (GUI) and workflow,
enabling developers of all experience levels to import datasets and
models, rapidly train, and deploy NN models and ML workloads
across the NXP Edge processing portfolio. To meet the
demanding requirements of today’s industrial and
IoT applications, NXP’s eIQ-DeepViewML Tool Suite will provide
developers with advanced features to prune, quantize,
validate, and deploy public or proprietary NN models on
NXP devices. It’s on-target, graph-level profiling capability will
provide developers with unique, run-time insights to optimize
NN model architectures, system parameters, and run-time
performance. By adding Au-Zone’s DeepView run-time inference engine
to complement open source inference technologies in NXP eIQ, users
will be able to quickly deploy and evaluate ML workloads and
performance across NXP devices with minimal effort. A key feature
of this run-time inference engine is that it optimizes the system
memory usage and data movement uniquely for each SoC
architecture.
“Au-Zone is incredibly excited to announce this investment
and strategic partnership with NXP, especially with its exciting
roadmap for additional ML accelerated devices,” said Brad Scott,
CEO of Au-Zone. “We created DeepViewTM to provide developers with
intuitive tools and inferencing technology, so this partnership
represents a great union of world class silicon, run-time inference
engine technology, and a development environment that will further
accelerate the deployment of embedded ML features. This partnership
builds on a decade of engineering collaboration with NXP and will
serve as a catalyst to deliver more advanced Machine Learning
technologies and turnkey solutions as OEM’s continue to transition
inferencing to the Edge.”
Expanding Machine Learning
Acceleration
To accelerate machine learning in
a wider range of Edge applications,
NXP will expand its popular i.MX applications
processors for the Industrial and IoT Edge with the integration of
the Arm Ethos-U65 microNPU, complementing the previously
announced i.MX 8M Plus applications processor with integrated NPU.
The NXP and Arm technology partnership focused
on defining the system-level aspects of this
microNPU which supports up to 1 TOPS (512
parallel multiply-accumulate operations at 1GHz).
The Ethos-U65 maintains the MCU-class power efficiency of the
Ethos-U55 while extending its applicability to higher performance
Cortex-A-based system-on-chip (SoC)s. The Ethos-U65 microNPU works
in concert with the Cortex-M core already present in NXP’s i.MX
families of heterogeneous SoCs, resulting in improved
efficiency.
“There has been a surge of AI and ML across industrial and IoT
applications driving demand for more on-device ML capabilities,”
said Dennis Laudick, Vice President of Marketing, Machine Learning
Group, at Arm. “The Ethos-U65 will power a new wave of edge AI,
providing NXP customers with secure, reliable, and smart on-device
intelligence.”
Availability
Arm Ethos-U65 will be available in future NXP’s i.MX
applications processors. The eIQ-DeepViewML Tool
Suite and DeepView run-time inference engine,
integrated into eIQ, will be available Q1, 2021. The
end-to-end software enablement, from training,
validating and deploying existing or new neural network
models for i.MX 8M Plus and other NXP SoCs, as well as
future devices integrating the Ethos-U55 and U65, will be
accessible through NXP’s eIQ Machine Learning software
development environment. To learn more read our blog and register
for the joint NXP and Arm webinar on November 10.
About NXP SemiconductorsNXP Semiconductors N.V.
enables secure connections for a smarter world, advancing solutions
that make lives easier, better, and safer. As the world leader in
secure connectivity solutions for embedded applications, NXP is
driving innovation in the automotive, industrial & IoT, mobile,
and communication infrastructure markets. Built on more than 60
years of combined experience and expertise, the company has
approximately 29,000 employees in more than 30 countries and posted
revenue of $8.88 billion in 2019. Find out more at
www.nxp.com.
NXP, the NXP logo and EdgeVerse are trademarks of NXP B.V. All
other product or service names are the property of their respective
owners. Amazon Web Services and all related logos and motion marks
are trademarks of Amazon.com, Inc. or its affiliates. The
Bluetooth® word mark and logos are registered trademarks owned by
Bluetooth SIG, Inc. and any use of such marks by NXP Semiconductors
is under license. All rights reserved. © 2020 NXP B.V.
For more information, please
contact:
Americas
& Europe |
|
Greater China /
Asia |
|
|
|
Jason
Deal |
|
Ming Yue |
|
|
|
Tel: +44 7715228414 |
|
Tel: +86 21 2205 2690 |
|
|
|
Email: jason.deal@nxp.com |
|
Email: ming.yue@nxp.com |
|
|
|
NXP-IoTNXP-Smart HomeNXP-Corp
A photo accompanying this announcement is available at
https://www.globenewswire.com/NewsRoom/AttachmentNg/ea5038f6-c957-4d81-866f-e613cbe439f6
NXP Semiconductors NV (NASDAQ:NXPI)
Gráfica de Acción Histórica
De Jun 2024 a Jul 2024
NXP Semiconductors NV (NASDAQ:NXPI)
Gráfica de Acción Histórica
De Jul 2023 a Jul 2024