Nvidia, Joining Big Tech Deal Spree, to License Groq Technology, Hire Executives

The Nvidia logo is seen on a graphic card package in this illustration created on August 19, 2025. (Reuters)
The Nvidia logo is seen on a graphic card package in this illustration created on August 19, 2025. (Reuters)
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Nvidia, Joining Big Tech Deal Spree, to License Groq Technology, Hire Executives

The Nvidia logo is seen on a graphic card package in this illustration created on August 19, 2025. (Reuters)
The Nvidia logo is seen on a graphic card package in this illustration created on August 19, 2025. (Reuters)

Nvidia has agreed to license chip technology from startup Groq and hire away its CEO, a veteran of Alphabet's Google, Groq said in a blog post on Wednesday.

The deal follows a familiar pattern in recent years where the world's biggest technology firms pay large sums in deals with promising startups to take their technology and talent but stop short of formally acquiring the target.

Groq specializes in what is known as inference, where artificial intelligence models that have already been trained respond to requests from users. While Nvidia dominates the market for training AI models, it faces much more competition in inference, where traditional rivals such as Advanced Micro Devices have aimed ‌to challenge it ‌as well as startups such as Groq and Cerebras Systems.

Nvidia ‌has ⁠agreed to a "non-exclusive" ‌license to Groq's technology, Groq said. It said its founder Jonathan Ross, who helped Google start its AI chip program, as well as Groq President Sunny Madra and other members of its engineering team, will join Nvidia.

A person close to Nvidia confirmed the licensing agreement.

Groq did not disclose financial details of the deal. CNBC reported that Nvidia had agreed to acquire Groq for $20 billion in cash, but neither Nvidia nor Groq commented on the report. Groq said in its blog post that it will continue to ⁠operate as an independent company with Simon Edwards as CEO and that its cloud business will continue operating.

In similar recent deals, Microsoft's ‌top AI executive came through a $650 million deal with a startup ‍that was billed as a licensing fee, and ‍Meta spent $15 billion to hire Scale AI's CEO without acquiring the entire firm. Amazon hired ‍away founders from Adept AI, and Nvidia did a similar deal this year. The deals have faced scrutiny by regulators, though none has yet been unwound.

"Antitrust would seem to be the primary risk here, though structuring the deal as a non-exclusive license may keep the fiction of competition alive (even as Groq’s leadership and, we would presume, technical talent move over to Nvidia)," Bernstein analyst Stacy Rasgon wrote in a note to clients on Wednesday after Groq's announcement. And Nvidia CEO Jensen Huang's "relationship with ⁠the Trump administration appears among the strongest of the key US tech companies."

Groq more than doubled its valuation to $6.9 billion from $2.8 billion in August last year, following a $750 million funding round in September.

Groq is one of a number of upstarts that do not use external high-bandwidth memory chips, freeing them from the memory crunch affecting the global chip industry. The approach, which uses a form of on-chip memory called SRAM, helps speed up interactions with chatbots and other AI models but also limits the size of the model that can be served.

Groq's primary rival in the approach is Cerebras Systems, which Reuters this month reported plans to go public as soon as next year. Groq and Cerebras have signed large deals in the Middle East.

Nvidia's Huang spent much of his biggest keynote speech of 2025 arguing that ‌Nvidia would be able to maintain its lead as AI markets shift from training to inference.



Intel Says Competition from Nvidia PC Chip a ‘Good Thing’

A sign is posted in front of Intel headquarters in Santa Clara, California, US, Aug. 1, 2024. (AFP)
A sign is posted in front of Intel headquarters in Santa Clara, California, US, Aug. 1, 2024. (AFP)
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Intel Says Competition from Nvidia PC Chip a ‘Good Thing’

A sign is posted in front of Intel headquarters in Santa Clara, California, US, Aug. 1, 2024. (AFP)
A sign is posted in front of Intel headquarters in Santa Clara, California, US, Aug. 1, 2024. (AFP)

Intel said Tuesday that competition in personal computer chips from hardware giant Nvidia as a "good thing" as artificial intelligence presents new business opportunities.

The comments come a day after Nvidia, the world's most valuable company, unveiled a powerful chip for Windows machines designed to run AI agents, tools that can carry out tasks for users.

The announcement from Nvidia is a challenge to legacy PC chipmakers including Intel and AMD, as well as Apple's laptop business.

"If you take a look at what they brought to market (Monday), I think it's a good thing," Alex Katouzian, general manager of Intel's client computing and physical AI group, told a news conference in Taipei.

"It shows the importance of how critical the PC is," he added.

"We welcome the competition, but I think we're going to do really well," he said, touting Intel's scale -- with "every segment covered" -- and the trust of its customer base.

"They want us to grow with them, there's new opportunities on the AI side," Katouzian said, calling the company's roadmap "super strong".

Shares in Intel took off late last year after Nvidia announced it would invest $5 billion in the firm.

And in April, the company smashed quarterly earnings expectations, in what could be a sign it is on a path to recovery.

Intel largely missed the smartphone boom and failed to develop competitive hardware for the AI era, allowing Asian manufacturers TSMC and Samsung to dominate the custom semiconductor market.

Most notably, Intel was blindsided by Nvidia's rise as the world's leading AI chip provider.

Nvidia's graphics processing units (GPUs), originally designed for gaming consoles, have become the essential building blocks of AI systems, with tech giants scrambling to secure them for their data servers and AI projects.

The heads of both companies are in Taipei this week for the major industry show Computex.

On Tuesday, Intel announced upgrades to its AI data center hardware offerings as well as new collaborations with supply chain partners such as Taiwan's Foxconn.

While several experts told AFP that Nvidia's competitors should be worried about its new PC chip for the AI era, the RTX Spark, others were more cautious.

"This move may create incremental pressure for Intel and Qualcomm; however, given the complexity and likely premium pricing, we don't expect significant competition with mainstream AI PCs," Bloomberg Intelligence analysts wrote.


Global Smartphone Market Faces Record Annual Decline as Chip Crunch Worsens

The iPhone 17 series on display at the Apple Store in New York City, US, September 19, 2025. (Reuters)
The iPhone 17 series on display at the Apple Store in New York City, US, September 19, 2025. (Reuters)
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Global Smartphone Market Faces Record Annual Decline as Chip Crunch Worsens

The iPhone 17 series on display at the Apple Store in New York City, US, September 19, 2025. (Reuters)
The iPhone 17 series on display at the Apple Store in New York City, US, September 19, 2025. (Reuters)

The global smartphone market is heading for its steepest annual contraction on record, with shipments projected to slump by 13.9% this year to 1.08 billion units, Counterpoint Research said on Monday, citing a worsening shortage of memory chips.

The forecast is a downgrade from the 12.4% decline projected in February, with the squeeze in global chip supply exacerbated by the Iran war.

IMPACT MOST ACUTE AT BUDGET END OF MARKET

The impact is being felt most acutely in lower-end smartphones as ‌chipmakers shift ‌production capacity to AI-related chips, making entry-level devices less ‌economical ⁠to produce.

Global smartphone wholesale ⁠prices rose 14% in the first quarter while shipments fell 3.1% year on year. That trend is expected to continue as inventory built before the supply shock becomes depleted, with some models priced below $150 likely to disappear from the market.

"Smartphone makers in the low and mid-tier are caught between cost increases they cannot absorb and consumers with limited spending power," said Wang ⁠Yang, a principal analyst at Counterpoint, an independent research ‌company that publishes quarterly smartphone shipment data.

"The ‌question is no longer how to grow shipments or market share, but whether ‌to remain in the market at all."

The memory chip shortage ‌is the most severe supply-side disruption the smartphone industry has faced, Wang said, adding that manufacturers are unable to offset the impact through pricing or product changes.

PREMIUM END OF THE MARKET MORE RESILIENT

The premium segment has proven more resilient. Apple posted ‌record revenue for the first three months of the year, helped by customers upgrading to its iPhone ⁠17 series. ⁠Apple's 2026 shipments are expected to remain flat before rising 5% next year, Counterpoint projections show.

With more stable chip supply and stronger margins than many rivals, Apple is well placed to gain market share and could face less pressure to raise prices.

Samsung Electronics kept volumes steady in the first quarter and is expected by Counterpoint to register only a 4% decline in shipments over the full year, outperforming the wider market thanks to stable supply and a consistent product line-up.

Transsion, which is heavily exposed to the market for smartphones priced below $150, is forecast to suffer a 32% drop in shipments this year. Rivals Xiaomi and Honor, meanwhile, are projected to post full-year declines of 28% and 20% respectively, Counterpoint said.


Nvidia to Work with US, European Humanoid Robot Makers in Addition to China’s Unitree

A man shakes the hand of a Chinese G1 humanoid robot made by Unitree Robotics at a conference in Mumbai, India, May 22, 2026. (Reuters)
A man shakes the hand of a Chinese G1 humanoid robot made by Unitree Robotics at a conference in Mumbai, India, May 22, 2026. (Reuters)
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Nvidia to Work with US, European Humanoid Robot Makers in Addition to China’s Unitree

A man shakes the hand of a Chinese G1 humanoid robot made by Unitree Robotics at a conference in Mumbai, India, May 22, 2026. (Reuters)
A man shakes the hand of a Chinese G1 humanoid robot made by Unitree Robotics at a conference in Mumbai, India, May 22, 2026. (Reuters)

Nvidia ‌plans to work with humanoid robot makers in the US, Europe and South Korea in addition to China's Unitree to build robots for researchers, according to the AI chip company's executives.

After CEO Jensen Huang's keynote address in Taiwan on Monday ahead of the Computex trade show, Nvidia announced that the company is working with China's Unitree, a leading maker of humanoid robots, to provide a standardized version of Unitree's H2 robot that can be used by academic researchers.

The robot's body will come from ‌Unitree, its ‌hands will come from Singapore-headquartered Sharpa, and the ‌computing ⁠brains of the device ⁠will come from Nvidia. Nvidia said that researchers at Stanford University and the University of California San Diego, among others, plan to use the machines.

Unitree, whose dancing robots were the centerpiece of China's Spring Festival gala earlier this year, is pursuing a public listing in China.

But US lawmakers have alleged that ⁠Unitree has extensive ties to the Chinese government ‌and military and have introduced a ‌bill that would ban use of the firm's robots by ‌researchers who receive US government funding.

Nvidia executives told Reuters that ‌the company plans to pursue more efforts like the Unitree one with robotics firms outside China. They did not name the partners in the US, South Korea and Europe and spoke on condition of ‌anonymity as the plans are not public.

The Nvidia executives said the work with Unitree is ⁠aimed at improving ⁠the cybersecurity of the Unitree robots for researchers. For example, any software updates meant for the robot's subsystems will have to flow through Nvidia's chip, where the code can be checked for authenticity.

By directly integrating Nvidia's "Blackwell" chips with Unitree's robot bodies, Nvidia, which plans to use the machines in its own research, will bring the same security features that it uses to protect data center servers, the executives said.

Those security technologies, known as secure boot and confidential computing, are aimed at ensuring the robots cannot run malicious code and that sensitive data cannot be moved off the robots without permission.