- Adding OCTEON® 10 processor to Linux
Foundation's Datapath Developer Kit and the Apache device library
provides ML model developers standardized API access to the chip's
ML/AI acceleration engine.
- Improves the performance of 5G RAN networks by enabling OEMs
and operators, such as Nokia and Vodafone, to easily develop and
implement innovative ML/AI models using open-source tools.
BARCELONA, Spain and SANTA CLARA, Calif., Feb. 26,
2024 /PRNewswire/ -- Marvell Technology, Inc.
(NASDAQ: MRVL), a leader in data infrastructure semiconductor
solutions, today announced the support for its OCTEON 10 processors
in the Machine Learning Device Library (MLDEV) of the widely used
Datapath Developer Kit (DPDK) open-source software project managed
by the Linux Foundation. Through contributions accepted to the
Apache TVM (Tensor Virtual Machine) project, developers can use
open-source tools to build machine learning (ML) models that can be
executed in OCTEON 10's integrated ML/AI acceleration engine,
simplifying the adoption of these models for 5G Radio Access
Network (RAN) optimization.
"We are proud to be the first vendor to incorporate AI/ML into
our ReefShark SoCs and AirScale portfolio. This technology allows
us to differentiate our solutions and offer the best spectral
efficiency and cell edge performance in the industry. We are now at
the forefront of bringing machine learning technology to our
customers and exploring its enormous possibilities ahead of the 6G
era," said Mark Atkinson, Head of
RAN at Nokia.
"The ever-increasing complexity of RAN makes AI/ML the ideal
technology to efficiently solve challenges around radio resource
configuration, allocation, and optimization. Vodafone is a pioneer
in this field, having deployed multiple uses of AI/ML in our
network since 2017," said Francisco
Martin (Paco), Head of Open RAN at Vodafone. "We are pleased
to be collaborating with Marvell to bring this to the very core of
radio processing, which will enable a fully AI-native RAN."
Using open-source ML frameworks such as TensorFlow, PyTorch, and
ONNX, developers can create their own models for optimizing the
performance of the RAN Distributed Unit (DU) and Radio Unit (RU).
Via standard APIs, these models can be implemented on the OCTEON 10
ML/AI accelerator, providing OEMs and service providers with
enhanced ability to optimize massive MIMO beam selection, improve
channel estimation, identify security risks or address other tasks
to improve network performance, efficiency and operating
economics.
The OCTEON 10 ML/AI accelerator features a scalable tiled
architecture and best-in-class performance-power ratio at 8
trillion operations per second per watt. The new API access follows
the same principles used in DPDK's Ethernet Device framework and
Crypto framework already supported by OCTEON 10
processors.
The OCTEON 10 processor family is purpose-built to serve as
the primary processing unit in RUs, DUs, enterprise networking
equipment, or as a data processing unit in clouds and AI clusters.
Unlike competitive solutions, OCTEON drivers are designed to
integrate with open-source frameworks to make them accessible and
easy to use by the development community.
Incorporating digital signal processors, Arm®
Neoverse™ CPUs, and optimized hardware accelerators like
the inference processor and inline crypto engine,
OCTEON 10 is the product-of-choice for some of the most intense
workloads in wireless and security applications.
"Our commitment to open-source integration is evident in the
vast Marvell contribution to DPDK, OPI, and similar initiatives,"
said Will Chu, senior vice president
and general manager, Custom, Compute and Storage Group at Marvell.
"Giving developers access to processor modules will enable industry
innovations that build smarter, faster, and more secure RAN
networks."
Visit Marvell at MWC Barcelona 2024, taking place through
February 29, in stand 2F34 in
Hall 2 and partner stands including Nokia, hall 3, stand 3A2.
About Marvell
To deliver the data infrastructure technology that connects the
world, we're building solutions on the most powerful foundation:
our partnerships with our customers. Trusted by the world's leading
technology companies for over 25 years, we move, store, process and
secure the world's data with semiconductor solutions designed for
our customers' current needs and future ambitions. Through a
process of deep collaboration and transparency, we're ultimately
changing the way tomorrow's enterprise, cloud, automotive, and
carrier architectures transform—for the better.
Marvell and the M logo are trademarks of Marvell or its
affiliates. Please visit www.marvell.com for a complete list of
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property of others.
This press release contains forward-looking statements within
the meaning of the federal securities laws that involve risks and
uncertainties. Forward-looking statements include, without
limitation, any statement that may predict, forecast, indicate or
imply future events, results or achievements. Actual events,
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described in the "Risk Factors" section of our Annual Reports on
Form 10-K, Quarterly Reports on Form 10-Q and other documents filed
by us from time to time with the SEC. Forward-looking statements
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or otherwise.
For further information, contact:
Michael Kanellos
pr@marvell.com
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