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Home inet Arm: Nvidia buys it for $ 40 billion!

Arm: Nvidia buys it for $ 40 billion!

On Sunday, Nvidia confirmed the deal to buy the company chip, Arm, from Softbank, for $ 40 billion.

Arm will be part of Nvidia and will remain headquartered in the United Kingdom. Alongside "the open licensing model will continue to operate, maintaining the global neutrality of its customers,The company said.

arm nvidia
Arm: Nvidia buys it for $ 40 billion!

SoftBank bought Arm in 2016 for $ 31 billion, and helps power mobile processors for companies like AppleThe Samsung and Qualcomm. Arm has probably only increased in value since the acquisition of SoftBank, with Microsoft to Build a Surface and a Version of Windows for Arm, while Apple plans to change in the future Poppy on a chip based on the Arm.

Nvidia is the leading GPU manufacturer, but apart from the range Tegra of laptops chipset used in devices such as Nintendo switch, Nvidia does not do much in design CPU or his hardware mobile.

Speaking at Forbes, the CEO of Nvidia, Jensen Huang, stated that its first priority after the acquisition will be to "bring Nvidia technology through the huge Arm network". However, this does not necessarily mean that Arm will change the current licensing model.

Perhaps to emphasize that it intends to maintain Arm as a technology-neutral provider in the short term, the deal emphasizes that the chip maker will continue to be based in Cambridge, UK, and Nvidia says it will invest in building a new AI technology research center.

Both companies see growth opportunities, and AI software that can run on a chip Arm, from these tiny smartphones to those of huge servers.

Nvidia once had big ambitions to make CPUs for phones, but it had little success. This acquisition could obviously change the data, but it seems that at least initially it will focus on data centers, according to information from The Verge.

Arm: Nvidia buys it for $ 40 billion!

«We know for a fact that data centers and clouds require the Arm microprocessor. Energy efficiency directly translates into computing capacity, computational efficiency and service costsSaid Huang.

The acquisition may face regulatory control in a less merger-friendly environment than at any other time. However, the fact that Nvidia and Arm do not compete directly could help advance this process.

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