In recent years, the company has transformed from a competent private sector telecommunications firm into a “muscular technology juggernaut straddling the entire AI hardware and software stack,” said Paul Triolo, partner and senior vice president for China at advisory firm DGA-Albright Stonebridge Group.
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Huawei has open-sourced two of its artificial intelligence models — a move tech experts say will help the U.S.-blacklisted firm continue to build its AI ecosystem and expand overseas.
The Chinese tech giant announced on Monday the open-sourcing of the AI models under its Pangu series, as well as some of its model reasoning technology.
Tech experts told CNBC that Huawei’s latest announcements not only highlight how it is solidifying itself as an open-source LLM player, but also how it is strengthening its position across the entire AI value chain as it works to overcome U.S.-led AI chip export restrictions.
In recent years, the company has transformed from a competent private sector telecommunications firm into a “muscular technology juggernaut straddling the entire AI hardware and software stack,” said Paul Triolo, partner and senior vice president for China at advisory firm DGA-Albright Stonebridge Group.
In its announcement Monday, Huawei called the open-source moves another key measure for Huawei’s “Ascend ecosystem strategy” that would help speed up the adoption of AI across “thousands of industries.”
The Ascend ecosystem refers to AI products built around the company’s Ascend AI chip series, which are widely considered to be China’s leading competitor to products from American chip giant Nvidia. Nvidia is restricted from selling its advanced products to China.
A Google-like strategy?
Pangu being available in an open-source manner allows developers and businesses to test the models and customize them for their needs, said Lian Jye Su, chief analyst at Omdia. “The move is expected to incentivize the use of other Huawei products,” he added.
According to experts, the coupling of Huawei’s Pangu models with the company’s AI chips and related products gives the company a unique advantage, allowing it to optimize its AI solutions and applications.
While competitors like Baidu have LLMs with broad capabilities, Huawei has focused on specialized AI models for sectors such as government, finance and manufacturing.
“Huawei is not as strong as companies like DeepSeek and Baidu at the overall software level – but it doesn’t need to be,” said Marc Einstein, research director at Counterpoint Research.
“Its objective is to ultimately use open source products to drive hardware sales, which is a completely different model from others. It also collaborates with DeepSeek, Baidu and others and will continue to do so,” he added.
Ray Wang, principal analyst at Constellation Research, said the chip-to-model strategy is similar to that of Google, a company that is also developing AI chips and AI models like its open-source Gemma models.
Huawei’s announcement on Monday could also help with its international ambitions. Huawei, along with players like Zhipu AI, has been slowly making inroads into new overseas markets.
In its announcement Monday, Huawei invited developers, corporate partners and researchers around the world to download and use its new open-source products in order to gather feedback and improve them.
“Huawei’s open-source strategy will resonate well in developing countries where enterprises are more price-sensitive as is the case with [Huawei’s] other products,” Einstein said.
As part of its global strategy, the company has also been looking to bring its latest AI data center solutions to new countries.
Founded in 2022, ElevenLabs is an AI voice generation startup based in London. It competes with the likes of Speechmatics and Hume AI.
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LONDON — ElevenLabs, a London-based startup that specializes in generating synthetic voices through artificial intelligence, has revealed plans to be IPO-ready within five years.
The company told CNBC it is targeting major global expansion as it prepares for an initial public offering.
“We expect to build more hubs in Europe, Asia and South America, and just keep scaling,” Mati Staniszewski, ElevenLabs’ CEO and co-founder, told CNBC in an interview at the firm’s London office.
He identified Paris, Singapore, Brazil and Mexico as potential new locations. London is currently ElevenLabs’ biggest office, followed by New York, Warsaw, San Francisco, Japan, India and Bangalore.
Staniszewski said the eventual aim is to get the company ready for an IPO in the next five years.
“From a commercial standpoint, we would like to be ready for an IPO in that time,” he said. “If the market is right, we would like to create a public company … that’s going to be here for the next generation.”
Undecided on location
Founded in 2022 by Staniszewski and Piotr Dąbkowski, ElevenLabs is an AI voice generation startup that competes with the likes of Speechmatics and Hume AI.
The company divides its business into three main camps: consumer-facing voice assistants, integrations with corporates such as Cisco, and tailor-made applications for specific industries like health care.
Staniszewski said the firm hasn’t yet decided where it could list, but that this decision will largely rest on where most of its users are located at the time.
“If the U.K. is able to start accelerating,” ElevenLabs will consider London as a listing destination, Staniszewski said.
The city has faced criticisms from entrepreneurs and venture capitalists that its stock market is unfavorable toward high-growth tech firms.
Meanwhile, British money transfer firm Wiselast month said it plans to move its primary listing location to the U.S.,
Fundraising plans
ElevenLabs was valued at $3.3 billion following a recent $180 million funding round. The company is backed by the likes of Andreessen Horowitz, Sequoia Capital and ICONIQ Growth, as well as corporate names like Salesforce and Deutsche Telekom.
Staniszewski said his startup was open to raising more money from VCs, but it would depend on whether it sees a valid business need, like scaling further in other markets. “The way we try to raise is very much like, if there’s a bet we want to take, to accelerate that bet [we will] take the money,” he said.
Synopsys logo is seen displayed on a smartphone with the flag of China in the background.
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The U.S. government has rescinded its export restrictions on chip design software to China, U.S.-based Synopsys announced Thursday.
“Synopsys is working to restore access to the recently restricted products in China,” it said in a statement.
The U.S. had reportedly told several chip design software companies, including Synopsys, in May that they were required to obtain licenses before exporting goods, such as software and chemicals for semiconductors, to China.
The U.S. Commerce Department did not immediately respond to a request for comment from CNBC.
The news comes after China signaled last week that they are making progress on a trade truce with the U.S. and confirmed conditional agreements to resume some exchanges of rare earths and advanced technology.
The Datadog stand is being displayed on day one of the AWS Summit Seoul 2024 at the COEX Convention and Exhibition Center in Seoul, South Korea, on May 16, 2024.
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Datadog shares were up 10% in extended trading on Wednesday after S&P Global said the monitoring software provider will replace Juniper Networks in the S&P 500 U.S. stock index.
S&P Global is making the change effective before the beginning of trading on July 9, according to a statement.
Computer server maker Hewlett Packard Enterprise, also a constituent of the index, said earlier on Wednesday that it had completed its acquisition of Juniper, which makes data center networking hardware. HPE disclosed in a filing that it paid $13.4 billion to Juniper shareholders.
Over the weekend, the two companies reached a settlement with the U.S. Justice Department, which had sued in opposition to the deal. As part of the settlement, HPE agreed to divest its global Instant On campus and branch business.
While tech already makes up an outsized portion of the S&P 500, the index has has been continuously lifting its exposure as the industry expands into more areas of society.
Stocks often rally when they’re added to a major index, as fund managers need to rebalance their portfolios to reflect the changes.
New York-based Datadog went public in 2019. The company generated $24.6 million in net income on $761.6 million in revenue in the first quarter of 2025, according to a statement. Competitors include Cisco, which bought Splunk last year, as well as Elastic and cloud infrastructure providers such as Amazon and Microsoft.
Datadog has underperformed the broader tech sector so far this year. The stock was down 5.5% as of Wednesday’s close, while the Nasdaq was up 5.6%. Still, with a market cap of $46.6 billion, Datadog’s valuation is significantly higher than the median for that index.