NVIDIA and SoftBank Group Corp. (SBG) announced in the past few hours a definitive agreement under which the famous manufacturer of graphics processors, motherboards and components for multimedia products for PCs and consoles, will acquire Arm Limited from SBG and SoftBank Vision Fund (together with ” SoftBank ” itself) with a transaction worth a total of 40 billion dollars . According to the press release, available on the Californian company ‘s official website , the acquisition aims to combine NVIDIA’s leading AI computing platform with the vast ecosystem of Arm, in order to create the leading processing company for the era of artificial intelligence, thereby accelerating the innovation process. Here are the words of Jensen Huang , founder and CEO of NVIDIA:
Artificial intelligence is the most powerful technological force of our time and has launched a new wave of computing. In the years to come, trillions of computers with artificial intelligence will create a new Internet, something thousands of times bigger than the current Internet of the people. Our combination will create a company that is fabulously positioned for the age of AI.
Simon Segars and his team at Arm have created an amazing company, which contributes to almost every technology market in the world. By combining NVIDIA’s AI computing capabilities with Arm’s vast CPU ecosystem, we can advance computing from the cloud, smartphone, PC, self-driving car and robotics, to the IoT edge and expand AI computing to every corner of the globe. This combination has tremendous benefits for both companies, our customers and the industry. For the Arm ecosystem, the combination will not only increase the company’s R&D capability, but expand its IP portfolio with NVIDIA’s world-leading GPU and AI technology.
Furthermore, according to what emerged from the words of Jensen Huang , Arm will remain based in Cambridge, where a state-of-the-art AI supercomputer ( powered by Arm CPU ) will be built and a world-class artificial intelligence research facility will be built, in order to to support healthcare, life sciences, robotics, self-driving cars and many other fields.