Featured

Nvidia plans to sell tech to speed AI chip communication

 Nvidia plans to sell a technology that will tie chips together to speed up the chip-to-chip communication needed to build and deploy artificial intelligence tools, it said on Monday.

Nvidia launched a new version of its NVLink tech called NVLink Fusion on Monday that it will sell to other chip designers to help build powerful custom AI systems with multiple chips linked together.

Marvell Technology and MediaTek plan to adopt the NVLink tech called Fusion for their custom chip efforts, the company said. Other partners include Alchip, Fujitsu and Qualcomm.

Nvidia’s NVLink is used to exchange massive amounts of data between various chips, such as in the company’s GB200, which combines two Blackwell graphics processing units with a Grace processor.

Nvida CEO Jensen Huang made the announcement about NVLink Fusion at the Taipei Music Center, site of the Computex AI exhibition that runs from May 20 to 23.

In addition to the announcement on new tech production, Huang disclosed the company’s plan to build a Taiwan headquarters in the northern suburbs of Taipei.

His keynote speech discussed Nvidia’s history of building AI chips, systems and software to support them.

He said his presentations in the past had focused on the company’s graphics chips. Now Nvidia has grown beyond its roots as a video game graphics chip maker into the dominant producer of the chips that have powered the AI frenzy since ChatGPT’s launch in 2022.

Nvidia has been designing central processing units that would run Microsoft’s Windows operating system and use technology from Arm Holdings, Reuters has previously reported.

At Computex last year, Huang sparked “Jensanity” in Taiwan, as the public and media breathlessly followed the CEO, who was mobbed by attendees at the trade show.

During the company’s annual developer conference in March, Huang outlined how Nvidia would position itself to address the shift in computing needs from building large AI models to running applications based on them.

He made public several new generations of AI chips, including the Blackwell Ultra, which will be available later this year.

The company’s Rubin chips will be followed by Feynman processors, which are set to arrive in 2028.

Nvidia also launched a desktop version of its AI chips, called DGX Spark, targeting AI researchers. On Monday, Huang said the computer was in full production and would be ready in a “few weeks”.

Computex, expected to have 1,400 exhibitors, will be the first major gathering of computer and chip executives in Asia since U.S. President Donald Trump threatened to impose tariffs to push companies to increase production in the United States.

Source : Reuters

GLOBAL BUSINESS AND FINANCE MAGAZINE

Recent Posts

How currency hedging moves exchange rates

Foreign investors’ growing holdings of dollar-denominated bonds have created a large demand to hedge dollar…

7 hours ago

Beyond exposure: Predicting AI adoption based on comparative advantage

Predictions about the workplace impact of artificial intelligence often begin with what the technology can…

7 hours ago

Financial engineering is no substitute for interest rates: Lessons from Türkiye

The Turkish central bank cut interest rates over 2021-2023, on the politically driven view that…

7 hours ago

Closing the gap in borrowing costs for emerging market firms

Firms in low- and middle-income countries persistently pay more to borrow than firms in high-income…

7 hours ago

The inflation rate fell but many workers’ pay cheques did not keep up

Inflation in the US has receded from its 2022 peak. This column uses payroll records…

7 hours ago

The Inflation Reduction Act’s regional incentives promoted green investment, but did not create jobs

The US Inflation Reduction Act’s Energy Communities provisions aimed to increase clean-energy investment in areas…

7 hours ago