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| ARM is officially acquired by NVIDIA for $ 40 billion |
Nvidia announced that it has acquired SoftBank's ARM Semiconductor Design for $ 40 billion.
(ARM) will operate as part of Nvidia and will continue to be headquartered in the United Kingdom.
SoftBank bought ARM in 2016 for $ 31 billion. The British company's intellectual property helps them run processors for mobile devices from companies like Apple, Samsung and Qualcomm.
The deal gives Nvidia a bigger share in mobile computing, especially as it brings AI technology to platforms like smartphones, computers and self-driving cars.
At the same time, ARM will provide more support for its research and development work and access to the full range of NVIDIA products.
To fulfill its promise, Nvidia announced that it will build an artificial intelligence supercomputer at the company's headquarters in Cambridge, which will be powered by an ARM processor.
Nvidia CEO Jensen Huang said in a statement: `` Nvidia is spending a lot of money to acquire ARM and has no incentive to do anything that would cause customers to withdraw.
"Artificial intelligence is the most powerful technological force of our time. It has unleashed a new wave of computers. In the next few years, billions of AI computers will form a new network for the Internet of Things. The Internet is a thousand times larger than it is today. The new merger will put the company in a favorable position." In the era of artificial intelligence. "
Nvidia has confirmed that (ARM) will continue to maintain an open licensing model and remain neutral to existing customers.
This opens the door to ARM designs (especially GPUs) that also use Nvidia technology.
This enables Nvidia advantages that AMD does not offer in graphics and potentially very powerful chipset designs in the future.
Nvidia's board of directors (ARM) has approved the $ 40 billion acquisition. The two companies expect to close the deal within 18 months.
He must have the regulatory approvals from the US, UK, EU and China.
Nvidia has high ambitions in developing mobile processors, but they have not been very successful.
Of course, this acquisition could change that, but it looks like the focus will be on the data center, at least at first.
This acquisition confirms Nvidia's success over the past five years by focusing on areas such as GPUs, autonomous vehicles, and artificial intelligence.