Technology

China wants to dominate in AI — and some of its models are already beating their U.S. rivals

Published

8 months ago

December 16, 2024

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China is focusing on large language models (LLMs) in the artificial intelligence space.

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China’s attempts to dominate the world of artificial intelligence could be paying off, with industry insiders and technology analysts telling CNBC that Chinese AI models are already hugely popular and are keeping pace with — and even surpassing — those from the U.S. in terms of performance.

AI has become the latest battleground between the U.S. and China, with both sides considering it a strategic technology. Washington continues to restrict China’s access to leading-edge chips designed to help power artificial intelligence amid fears that the technology could threaten U.S. national security.

It’s led China to pursue its own approach to boosting the appeal and performance of its AI models, including relying on open-sourcing technology and developing its own super-fast software and chips.

China is creating popular LLMs

Like some of the leading U.S. firms in the space, Chinese AI firms are developing so-called large language models, or LLMs, which are trained on huge amounts of data and underpin applications such as chatbots.

Unlike OpenAI’s models which power the hugely popular ChatGPT, however, many of these Chinese companies are developing open-source, or open-weight, LLMs which developers can download and build on top of for free and without stringent licensing requirements from the inventor.

On Hugging Face, a repository of LLMs, Chinese LLMs are the most downloaded, according to Tiezhen Wang, a machine learning engineer at the company. Qwen, a family of AI models created by Chinese e-commerce giant Alibaba, is the most popular on Hugging Face, he said.

“Qwen is rapidly gaining popularity due to its outstanding performance on competitive benchmarks,” Wang told CNBC by email.

He added that Qwen has a “highly favorable licensing model” which means it can be used by companies without the need for “extensive legal reviews.”

Qwen comes in various sizes, or parameters, as they’re known in the world of LLMs. Large parameter models are more powerful but have higher computational costs, while smaller ones are cheaper to run.

“Regardless of the size you choose, Qwen is likely to be one of the best-performing models available right now,” Wang added.

DeepSeek, a start-up, also made waves recently with a model called DeepSeek-R1. DeepSeek said last month that its R1 model competes with OpenAI’s o1 — a model designed for reasoning or solving more complex tasks.

These companies claim that their models can compete with other open-source offerings like Meta‘s Llama, as well as closed LLMs such as those from OpenAI, across various functions.

“In the last year, we’ve seen the rise of open source Chinese contributions to AI with really strong performance, low cost to serve and high throughput,” Grace Isford, a partner at Lux Capital, told CNBC by email.

China pushes open source to go global

Open sourcing a technology serves a number of purposes, including driving innovation as more developers have access to it, as well as building a community around a product.

It is not only Chinese firms that have launched open-source LLMs. Facebook parent Meta, as well as European start-up Mistral, also have open-source versions of AI models.

But with the technology industry caught in the crosshairs of the geopolitical battle between Washington and Beijing, open-source LLMs give Chinese firms another advantage: enabling their models to be used globally.

“Chinese companies would like to see their models used outside of China, so this is definitively a way for companies to become global players in the AI space,” Paul Triolo, a partner at global advisory firm DGA Group, told CNBC by email.

While the focus is on AI models right now, there is also debate over what applications will be built on top of them — and who will dominate this global internet landscape going forward.

“If you assume these frontier base AI models are table stakes, it’s about what these models are used for, like accelerating frontier science and engineering technology,” Lux Capital’s Isford said.

Today’s AI models have been compared to operating systems, such as Microsoft’s Windows, Google‘s Android and Apple‘s iOS, with the potential to dominate a market, like these companies do on mobile and PCs.

If true, this makes the stakes for building a dominant LLM higher.

“They [Chinese companies] perceive LLMs as the center of future tech ecosystems,” Xin Sun, senior lecturer in Chinese and East Asian business at King’s College London, told CNBC by email.

“Their future business models will rely on developers joining their ecosystems, developing new applications based on the LLMs, and attracting users and data from which profits can be generated subsequently through various means, including but far beyond directing users to use their cloud services,” Sun added.

Chip restrictions cast doubt over China’s AI future

AI models are trained on vast amounts of data, requiring huge amounts of computing power. Currently, Nvidia is the leading designer of the chips required for this, known as graphics processing units (GPUs).

Most of the leading AI companies are training their systems on Nvidia’s most high-performance chips — but not in China.

Over the past year or so, the U.S. has ramped up export restrictions on advanced semiconductor and chipmaking equipment to China. It means Nvidia‘s leading-edge chips cannot be exported to the country and the company has had to create sanction-compliant semiconductors to export.

Despite, these curbs, however, Chinese firms have still managed to launch advanced AI models.

“Major Chinese technology platforms currently have sufficient access to computing power to continue to improve models. This is because they have stockpiled large numbers of Nvidia GPUs and are also leveraging domestic GPUs from Huawei and other firms,” DGA Group’s Triolo said.

Indeed, Chinese companies have been boosting efforts to create viable alternatives to Nvidia. Huawei has been one of the leading players in pursuit of this goal in China, while firms like Baidu and Alibaba have also been investing in semiconductor design.

“However, the gap in terms of advanced hardware compute will become greater over time, particularly next year as Nvidia rolls out its Blackwell-based systems that are restricted for export to China,” Triolo said.

Lux Capital’s Isford flagged that China has been “systematically investing and growing their whole domestic AI infrastructure stack outside of Nvidia with high-performance AI chips from companies like Baidu.”

“Whether or not Nvidia chips are banned in China will not prevent China from investing and building their own infrastructure to build and train AI models,” she added.

Technology

Intel is getting a $2 billion investment from SoftBank

Published

2 hours ago

August 18, 2025

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Intel is getting a billion investment from SoftBank

Masayoshi Son, chairman and chief executive officer of SoftBank Group Corp., speaks during the company’s annual general meeting in Tokyo, Japan, on Friday, June 27, 2025.

Bloomberg | Bloomberg | Getty Images

Intel and SoftBank announced on Monday that the Japanese conglomerate will make a $2 billion investment in the embattled chipmaker.

SoftBank will pay $23 per share for Intel’s common stock, which closed on Monday at $23.66. The shares rose about 6% in extended trading to $25.

The investment makes SoftBank the fifth-biggest Intel shareholder, according to FactSet. It’s a vote of support for Intel, which hasn’t been able to take advantage of the artificial intelligence boom in advanced semiconductors and has spent heavily to stand up a manufacturing business that’s yet to secure a significant customer.

“Masa and I have worked closely together for decades, and I appreciate the confidence he has placed in Intel with this investment,” Intel CEO Lip-Bu Tan said in a statement, referring to SoftBank founder Masayoshi Son.

Intel shares lost 60% of their value last year, their worst performance in the company’s more than half-century on the public market. The stock is up 18% in 2025 as of Monday’s close.

Tan took over as Intel CEO in March after his predecessor, Pat Gelsinger, was ousted in December.

Intel has been a major topic of discussion in Washington of late, due to the company’s role as the only American company capable of manufacturing the most advanced chips.

However, Intel’s foundry business, which is designed to manufacture chips for other companies, has yet to secure a major customer, a critical step towards stabilization and expansion. Last month, Intel said it would wait to secure orders before committing to certain future investment in its foundry.

Tan met with President Donald Trump last week after the president had called for the CEO’s resignation. The U.S. government is considering taking an equity stake in Intel, according to reports.

SoftBank, meanwhile, has become an increasingly large player in the global chip and AI markets.

In 2016, SoftBank acquired chip designer Arm in a deal worth about $32 billion at the time. Today the company is worth almost $150 billion. Arm-based chips are part of Nvidia’s systems that go into data centers.

And in March of this year, SoftBank announced plans to acquire another chip designer, Ampere Computing, for $6.5 billion.

SoftBank was also part of President Trump’s Stargate announcement in January, along with OpenAI and Oracle.

The three companies committed to invest an initial $100 billion and up to $500 billion over the next four years in the AI infrastructure project. Two months later, SoftBank led a $40 billion investment into OpenAI, the largest private tech deal on record.

“This strategic investment reflects our belief that advanced semiconductor manufacturing and supply will further expand in the United States, with Intel playing a critical role,” Son said in a statement.

WATCH: Intel’s message to Washington

Technology

Palo Alto Networks reports earnings beat, says founder Nir Zuk retiring from company

Published

5 hours ago

August 18, 2025

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Palo Alto Networks reports earnings beat, says founder Nir Zuk retiring from company

Nikesh Arora, CEO of Palo Alto Networks, looks on during the closing bell at the Nasdaq Market in New York City on March 25, 2025.

Jeenah Moon | Reuters

Palo Alto Networks reported better-than-expected quarterly results and issued upbeat guidance for the current period. The cybersecurity software vendor said Nir Zuk, who founded the company in 2005, is retiring from his role as chief technology officer.

The stock rose about 6% in extended trading.

Here’s how the company did compared to LSEG estimates:

Earnings: 95 cents adjusted vs. 88 cents expected

Revenue: $2.54 billion vs. $2.5 billion expected.

Revenue in the fiscal fourth quarter rose 16% from about $2.2 billion last year, the company said in a statement. Net income fell to about $254 million, or 36 cents per share, from about $358 million, or 51 cents per share, in the year-ago period.

The company also issued upbeat guidance for the fiscal first quarter. Earnings per share will be between 88 cents and 90 cents, Palo Alto said, topping an 85-cents estimate from StreetAccount.

For the full year, Palo Alto said revenue will range from $10.48 billion to $10.53 billion on adjusted earnings of $3.75 to $3.85 per share. Both estimates exceeded Wall Street’s projections.

Palo Alto said that for the fiscal first quarter, remaining purchase obligations, which tracks backlog, will range between $15.4 billion and $15.5 billion, surpassing a $15.07 billion estimate.

Last month, the company announced plans to buy Israeli identity security provider CyberArk for $25 billion. It’s the largest deal Palo Alto has made since its founding, and most ambitious in an acquiring spree that ramped up after CEO Nikesh Arora took the helm of the company in 2018.

Shares sold off sharply after the news broke and have yet to recover previous highs. The stock is down about 3% this year as of Monday’s close.

“We look for great products, a team that can execute in the product, and we let them run it,” Arora told CNBC following the announcement. “This is going to be a different challenge, but we’ve done well 24 times, so I’m pretty confident that our team can handle this.”

Lee Klarich, the company’s product chief, will replace Zuk as CTO and fill his position on the board.

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Technology

Musk’s Starlink suffers apparent outage as SpaceX launches more satellites

Published

6 hours ago

August 18, 2025

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Musk's Starlink suffers apparent outage as SpaceX launches more satellites

Jakub Porzycki | Nurphoto | Getty Images

Satellite internet service Starlink, which is owned and operated by Elon Musk‘s SpaceX, appeared to suffer a brief network outage on Monday, with thousands of reports of service interruptions on Downdetector, a site that logs tech issues.

The outage marked the second in two weeks for Starlink. SpaceX did not immediately respond to a request for comment.

The network’s July 24 outage lasted for several hours, with SpaceX Vice President of Starlink Engineering Michael Nicolls blaming the matter on “failure of key internal software services that operate the core network” behind Starlink.

That outage followed the launch of T-Mobile‘s Starlink-powered satellite service, a direct-to-cell-phone service created to keep smartphone users connected “in places no carrier towers can reach,” according to T-Mobile’s website.

SpaceX provides Starlink internet service to more than six million users across 140 countries, according to the company’s website, though churn and subscriber rates are not publicly reported by the company.