NXP makes a strategic investment with Au-Zone Technologies to expand eIQ®
Machine Learning development environment.
NXP is the lead technology partner for Arm Ethos-U65 microNPU (Neural
Processing Unit), that will be integrated into future i.MX applications
Powering a new wave of edge artificial intelligence (AI), new hardware and
software will enable NXP to build cost-effective, highly efficient AI
solutions in a wide range of embedded devices.
EINDHOVEN,The Netherlands, Oct. 19, 2020 (GLOBE NEWSWIRE) -- NXP
Semiconductors (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.
NXP expands scalable machine learning capabilities.
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
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.”
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
Machine Learning software development environment. To learn more read our
for the joint NXP and Arm webinar on November 10.
About NXP Semiconductors
NXP 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
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