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NVIDIA to acquire processor maker Arm from SoftBank for $40B, to build U.K. R&D center

By Eugene Demaitre | September 15, 2020

NVIDIA Corp. yesterday announced that it has agreed to acquire Arm Ltd. from SoftBank Group Corp. and the SoftBank Vision Fund for $40 billion. The combination of Arm’s semiconductor ecosystem and NVIDIA’s artificial intelligence technology will help drive innovation, according to the companies. The purchase would help Arm challenge Intel Corp. and Advanced Micro Devices Inc. for chip market share and expand into AI.

Cambridge, U.K.-based Arm claimed that its processor designs have enabled intelligent computing in 180 billion chips, powering products including sensors, smartphones, and supercomputers. The company works with more than 1,000 technology partners to design, secure, and manage all areas of compute, from chips to the cloud. Arm also said it provides business insights through its Internet of Things (IoT) devices, connectivity, and data management platform. The IoT, machine learning, and AI market will reach $10.6 billion by 2026, predicts ABI Research.

Santa Clara, Calif.-based NVIDIA said its invention of the graphics processing unit (GPU) in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPUs have acted as the brain of computers, robots, and self-driving cars, enabling improving perception, said the company, which was a 2020 RBR50 innovation award winner.

Not only is Tokyo-based SoftBank Group a major investor in technology, but it is also a holding company for telecommunications, robotics, and other firms. Its holdings include SoftBank Robotics, which produces the Pepper humanoid (formerly from Aldebaran Robotics) and the Whiz commercial floor-cleaning robot, as well as Boston Dynamics, which makes legged robots such as Atlas and Spot. SoftBank said it remains committed to Arm’s long-term success through its ownership stake in NVIDIA, expected to be under 10%.

NVIDIA plans to expand R&D, build AI supercomputer

“Specific to AI and robotics, the potential for investment in Arm research and development to propel growth in new markets,” said an NVIDIA spokesman. “NVIDIA will build on Arm’s R&D presence in Cambridge, establishing a new global center of excellence in research there.”

“This creates the opportunity to build an Arm/NVIDIA-based AI supercomputer, as well as drive research at a world-class innovation and education center for robotics, self-driving cars, healthcare, life sciences, and more,” he told The Robot Report. NVIDIA said it hopes to attract researchers and scientists from the U.K. and around the world with training facilities and a startup incubator.

“In the years ahead, trillions of computers running AI will create a new Internet of things that is thousands of times larger than today’s Internet of people,” stated Jensen Huang, founder and CEO of NVIDIA. “Uniting NVIDIA’s AI computing capabilities with the vast ecosystem of Arm’s CPU, we can advance computing from the cloud, smartphones, PCs, self-driving cars and robotics, to edge IoT, and expand AI computing to every corner of the globe.”

“NVIDIA is the perfect partner for Arm,” said Masayoshi Son, chairman and CEO of SoftBank Group. “Joining forces with a world leader in technology innovation creates new and exciting opportunities for Arm.”

“Arm and NVIDIA share a vision and passion that ubiquitous, energy-efficient computing will help address the world’s most pressing issues from climate change to healthcare, from agriculture to education,” said Simon Segars, CEO of Arm. “Delivering on this vision requires new approaches to hardware and software and a long-term commitment to research and development. By bringing together the technical strengths of our two companies, we can accelerate our progress and create new solutions that will enable a global ecosystem of innovators.”

NVIDIA added that it expects to take advantage of Arm’s intellectual property licensing expertise, increase investment in Arm’s roadmaps, and offer customers an alternative to legacy CPU approaches.


NVIDIA to retain Arm brand

As part of NVIDIA, Arm said it will continue to operate its open-licensing model while maintaining global customer neutrality, with 180 billion chips shipped to date by its licensees. SoftBank said it will satisfy commitments from when it acquired Arm in 2016, which are scheduled to be completed in September 2021. The company’s intellectual property will remain registered in the U.K.

Under the terms of the transaction, which has been approved by the boards of directors of NVIDIA, SoftBank, and Arm, NVIDIA will pay to SoftBank $21.5 billion in NVIDIA common stock and $12 billion in cash, which includes $2 billion payable at signing.

The number of NVIDIA shares to be issued at closing is $44.3 million, determined using the average closing price of NVIDIA common stock for the past 30 trading days. In addition, SoftBank may receive up to $5 billion in cash or common stock under an earn-out construct, subject to satisfaction of specific financial performance targets by Arm.

The transaction is expected to be immediately accretive to NVIDIA’s non-GAAP (generally accepted accounting principles) gross margin and non-GAAP earnings per share. NVIDIA will also issue $1.5 billion in equity to Arm employees. NVIDIA said it intends to finance the cash portion of the transaction with balance-sheet cash. The transaction does not include Arm’s IoT Services Group.

The proposed transaction is subject to customary closing conditions, including regulatory approvals from the U.K., China, the European Union, and the U.S. Completion of the transaction is expected to take place in approximately 18 months.

About The Author

Eugene Demaitre

Eugene Demaitre is editorial director of the robotics group at WTWH Media. He was senior editor of The Robot Report from 2019 to 2020 and editorial director of Robotics 24/7 from 2020 to 2023. Prior to working at WTWH Media, Demaitre was an editor at BNA (now part of Bloomberg), Computerworld, TechTarget, and Robotics Business Review.

Demaitre has participated in robotics webcasts, podcasts, and conferences worldwide. He has a master's from the George Washington University and lives in the Boston area.

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