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Nvidia in Advanced Talks to Acquire SoftBank-owned Chip Maker ARM For $32 Billion

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Image for Representation

Buying ARM would consolidate graphics giant Nvidia’s position at the centre of the semiconductor industry.

  • IANS
  • Last Updated: August 1, 2020, 11:05 AM IST

US chip-maker Nvidia is reportedly in advance talks to acquire SoftBank-owned UK chip company ARM in a cash-and-stock deal worth at least $32 billion. According to a report in the Financial Times on Friday citing sources, the talks began after “Nvidia approached SoftBank, which has been pursuing a series of other asset sales, about a potential acquisition”. The proposed deal includes “both cash and stock and that it valued ARM at above the $32bn price that SoftBank paid for the business in 2016”. Both Nvidia and ARM did not comment on the report. The British chip designer powers major mobile processor from companies like Qualcomm, Apple, Samsung and Huawei.

Apple last month confirmed its break up with Intel chips for ARM chips in its Mac desktops, announcing it will transition the Mac to its world-class custom silicon to deliver industry-leading performance and powerful new technologies. Buying ARM would consolidate graphics giant Nvidia’s position at the centre of the semiconductor industry. SoftBank bought ARM for $31 billion in 2016. Microsoft makes an ARM-based Surface laptop and a version of Windows designed for ARM. According to The Verge, Nvidia would make an interesting owner for ARM. While Nvidia is the leader for GPUs, it has little to do with CPU design or mobile hardware.

Nvidia said this week it delivered the world’s fastest Artificial Intelligence (AI) training performance among commercially available chips, a feat that will help big enterprises tackle the most complex challenges in AI, data science and scientific computing. Nvidia A100 GPUs and DGX SuperPOD systems were declared the world’s fastest commercially available products for AI training, according to MLPerf benchmarks. The A100 Tensor Core GPU demonstrated the fastest performance per accelerator on all eight MLPerf benchmarks.



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NVIDIA Recreates Pacman From Scratch Using AI to Mark 40th Anniversary

NVIDIA Recreates Pacman From Scratch Using AI to Mark 40th Anniversary

NVIDIA announced that it trained an AI to create an operational replica of the game simply from watching it being played 50,000 times.

  • AFP Relaxnews
  • Last Updated: May 26, 2020, 12:46 PM IST

After watching 50,000 episodes of Pac-Man being played, Nvidia’s AI was able to recreate a convincing replica of the game from nothing. On the 40-year anniversary of the beloved game Pac-Man, Nvidia, known for its graphic processing unit technology, announced that it has trained an AI to create an operational replica of the game simply from watching it being played 50,000 times — no human intervention required.

The artificial intelligence used to accomplish this is called NVIDIA GameGAN, a neural network model which “mimics a computer game engine by harnessing generative adversarial networks, or GANs.” These GANS use a pair of competing for neural networks which work together to create new content that looks impressively like the real deal it was designed to copy. And thus, without a game engine, GameGAN recreated Pac-Man without anyone programming it with code.

In 2019, the company used this same GAN technology to create two other apps: GauGAN and GANimal. While the former could take user doodles and convert them into photorealistic landscapes, the latter could put the expression of one animal — like that of your pet, for example — realistically onto the face of another.

As for GameGAN, Nvidia states that this tech could possibly be eventually used by game developers to “automatically generate layouts for new game levels,” or by AI experts to efficiently generate “develop simulator systems for training autonomous machines.” The AI-generated version of Pac-Man will be available for the public to play later this year.




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