Honor launched the Honor Magic V5 on Wednesday July 2, as it looks to challenge Samsung in the foldable space.
Honor
Honor on Wednesday touted the slimness and battery capacity of its newly launched thin foldable phone, as it lays down a fresh challenge to market leader Samsung.
The Honor Magic V5 goes will initially go on sale in China, but the Chinese tech firm will likely bring the device to international markets later this year.
Honor said the Magic V5 is 8.8 mm to 9mm when folded, depending on the color choice. The phone’s predecessor, the Magic V3 — Honor skipped the Magic V4 name — was 9.2 mm when folded. Honor said the Magic V5 weighs 217 grams to 222 grams, again, depending on the color model. The previous version was 226 grams.
In China, Honor will launch a special 1 terabyte storage size version of the Magic V5, which it says will have a battery capacity of more than 6000 milliampere-hour — among the highest for foldable phones.
Honor has tried hard to tout these features, as competition in foldables ramps up, even as these types of devices have a very small share of the overall smartphone market.
Honor vs. Samsung
Foldables represented less than 2% of the overall smartphone market in 2024, according to International Data Corporation. Samsung was the biggest player with 34% market share followed by Huawei with just under 24%, IDC added. Honor took the fourth spot with a nearly 11% share.
Honor is looking to get a head start on Samsung, which has its own foldable launch next week on July 9.
Francisco Jeronimo, a vice president at the International Data Corporation, said the Magic V5 is a strong offering from Honor.
“This is the dream foldable smartphone that any user who is interested in this category will think of,” Jeronimo told CNBC, pointing to features such as the battery.
“This phone continues to push the bar forward, and it will challenge Samsung as they are about to launch their seventh generation of foldable phones,” he added.
At its event next week, Samsung is expected to release a foldable that is thinner than its predecessor and could come close to challenging Honor’s offering by way of size, analysts said. If that happens, then Honor will be facing more competition, especially against Samsung, which has a bigger global footprint.
“The biggest challenge for Honor is the brand equity and distribution reach vs Samsung, where the Korean vendor has the edge,” Neil Shah, co-founder of Counterpoint Research, told CNBC.
Honor’s push into international markets beyond China is still fairly young, with the company looking to build up its brand.
“Further, if Samsung catches up with a thinner form-factor in upcoming iterations, as it has been the real pioneer in foldables with its vertical integration expertise from displays to batteries, the differentiating factor might narrow for Honor,” Shah added.
Vertical integration refers to when a company owns several parts of a product’s supply chain. Samsung has a display and battery business which provides the components for its foldables.
In March, Honor pledged a $10 billion investment in AI over the next five years, with part of that going toward the development of next-generation agents that are seen as more advanced personal assistants.
Honor said its AI assistant Yoyo can interact with other AI models, such as those created by DeepSeek and Alibaba in China, to create presentation decks.
The company also flagged its AI agent can hail a taxi ride across multiple apps in China, automatically accepting the quickest ride to arrive? and cancelling the rest.
The Rebel-Quad is the second-generation product from Rebellions and is made up of four Rebel AI chips. Rebellions, a South Korean firm, is looking to rival companies like Nvidia in AI chips.
Rebellions
South Korean artificial intelligence chip startup Rebellions has raised money from tech giant Samsung and is targeting a funding round of up to $200 million ahead of a public listing, the company’s management told CNBC on Tuesday.
Last year, Rebellions merged with another startup in South Korea called Sapeon, creating a firm that is being positioned as one of the country’s promising rivals to Nvidia.
Rebellions is currently raising money and is targeting funding of between $150 million and $200 million, Sungkyue Shin, chief financial officer of the startup, told CNBC on Tuesday.
Samsung’s investment in Rebellions last week was part of that, Shin said, though he declined to say how much the tech giant poured in.
Since its founding in 2020, Rebellions has raised $220 million, Shin added.
The current funding round is ongoing and Shin said Rebellions is talking to its current investors as well as investors in Korea and globally to participate in the capital raise. Rebellions has some big investors, including South Korean chip giant SK Hynix, telecommunication firms SK Telecom and Korea Telecom, and Saudi Arabian oil giant Aramco.
Rebellions was last valued at $1 billion. Shin said the current round of funding would push the valuation over $1 billion but declined to give specific figure.
Rebellions is aiming for an initial public offering once this funding round has closed.
“Our master plan is going public,” Shin said.
Rebellions designs chips that are focused on AI inferencing rather than training. Inferencing is when a pre-trained AI model interprets live data to come up with a result, much like the answers that are produced by popular chatbots.
With the backing of major South Korean firms and investors, Rebellions is hoping to make a global play where it will look to challenge Nvidia and AMD as well as a slew of other startups in the inferencing space.
Samsung collaboration
Rebellions has been working with Samsung to bring its second-generation chip, Rebel, to market. Samsung owns a chip manufacturing business, also known as foundry. Four Rebel chips are put together to make the Rebel-Quad, the product that Rebellions will eventually sell. A Rebellions spokesperson said the chip will be launched later this year.
The funding will partly go toward Rebellions’ product development. Rebellions is currently testing its chip which will eventually be produced on a larger scale by Samsung.
“Initial results have been very promising,” Sunghyun Park, CEO of Rebellions, told CNBC on Tuesday.
Park said Samsung invested in Rebellions partly because of the the good results that the chip has so far produced.
Samsung is manufacturing Rebellions’ semiconductor using its 4 nanometer process, which is among the leading-edge chipmaking nodes. For comparison, Nvidia’s current Blackwell chips use the 4 nanometer process from Taiwan Semiconductor Manufacturing Co. Rebellions will also use Samsung’s high bandwidth memory, known as HBM3e. This type of memory is stacked and is required to handle large data processing loads.
That could turn out to be a strategic win for Samsung, which is a very distant second to TSMC in terms of market share in the foundry business. Samsung has been looking to boost its chipmaking division. Samsung Electronics recently entered into a $16.5 billion contract for supplying semiconductors to Tesla.
If Rebellions manages to find a large customer base, this could give Samsung a major customer for its foundry business.
Data storage tapes are stored at the National Energy Research Scientific Computing Center (NERSC) facility at the Lawrence Berkeley National Laboratory, which will house the U.S. supercomputer to be powered by Nvidia’s forthcoming Vera Rubin chips, in Berkeley, California, U.S. May 29, 2025.
Manuel Orbegozo | Reuters
Europe is setting its sights on gigawatt factories in a bid to bolster its lagging artificial intelligence industry and meet the challenges of a rapidly-changing sector.
Buzz around the concept of factories that industrialize manufacturing AI has gained ground in recent months, particularly as Nvidia CEO Jensen Huang stressed the importance of the infrastructure at a June event. Huang hailed a new “industrial revolution” at the GTC conference in Paris, France, and said his firm was working to help countries build revenue-generating AI factories through partnerships in France, Italy and the U.K.
For its part, the European Union describes the factories as a “dynamic ecosystem” that brings together computing power, data and talent to create AI models and applications.
The bloc has long been a laggard behind the U.S. and China in the race to scale up artificial intelligence. With 27 members in the union, the region is slower to act when it comes to agreeing new legislation. Higher energy costs, permitting delays and a grid in dire need of modernization can also hamper developments.
Henna Virkkunen, the European Commission’s executive vice president for tech sovereignty, told CNBC that the bloc’s goal is to bring together high quality data sets, computing capacity and researchers, all in one place.
“We have, for example, 30% more researchers per capita than the U.S. has, focused on AI. Also we have around 7,000 startups [that] are developing AI, but the main obstacle for them is that they have very limited computing capacity. And that’s why we decided that, together with our member states, we are investing in this very crucial infrastructure,” she said.
These are very big investments because they are four times more powerful when it comes to computing capacities than the biggest AI factories.
Henna Virkkunen
European Commission’s executive vice president for tech sovereignty
“We have everything what is needed to be competitive in this sector, but at the same time we want to build up our technological sovereignty and our competitiveness.”
So far, the EU has put up 10 billion euros ($11.8 billion) in funding to set up 13 AI factories and 20 billion euros as a starting point for investment in the gigafactories, marking what it says is the “largest public investment in AI in the world.” The bloc has already received 76 expressions of interest in the gigafactories from 16 member states across 60 sites, Virkkunen said.
The call for interest in gigafactories was “overwhelming,” going far beyond the bloc’s expectations, Virkkunen noted. However, in order for the factories to make a noteworthy addition to Europe’s computing capacity, significantly more investment will be required from the private sector to fund the expensive infrastructure.
‘Intelligence revolution’
The EU describes the facilities as a “one-stop shop” for AI firms. They’re intended to mirror the process carried out in industrial factories, which transform raw materials into goods and services. With an AI factory, raw data goes into the input, and advanced AI products are the expected outcome.
It’s essentially a data center with additional infrastructure related to how the technology will be adopted, according to Andre Kukhnin, equity research analyst at UBS.
“The idea is to create GPU [graphics processing units] capacity, so to basically build data centers with GPUs that can train models and run inference… and then to create an infrastructure that allows you to make this accessible to SMEs and parties that would not be able to just go and build their own,” Kukhnin said.
How the facility will be used is key to its designation as an AI factory, adds Martin Wilkie, research analyst at Citi.
“You’re creating a platform by having these chips that have insane levels of compute capacity,” he said. “And if you’ve attached it to a grid that is able to get the power to actually use them to full capacity, then the world is at your feet. You have this enormous ability to do something, but what the success of it is, will be defined by what you use it for.”
Telecommunications firm Telenor is already exploring possible use cases for such facilities with the launch of its AI factory in Norway in November last year. The company currently has a small cluster of GPUs up and running, as it looks to test the market before scaling up.
Telenor’s Chief Innovation Officer and Head of the AI Factory Kaaren Hilsen and EVP Infrastructure Jannicke Hilland in front of a Nvidia rack at the firm’s AI factory
Telenor
“The journey started with a belief — Nvidia had a belief that every country needs to produce its own intelligence,” Telenor’s Chief Innovation Officer and Head of the AI Factory Kaaren Hilsen told CNBC.
Hilsen stressed that data sovereignty is key. “If you want to use AI to innovate and to make business more efficient, then you’re potentially putting business critical and business sensitive information into these AI models,” she said.
The company is working with BabelSpeak, which Hilsen described as a Norwegian version of ChatGPT. The technology translates sensitive dialogues, such as its pilot with the border police who can’t use public translation services because of security issues.
We’re experiencing an “intelligence revolution” whereby “sovereign AI factories can really help advance society,” Hilsen said.
Billion-euro investments
Virkkunen said the region’s first AI factory will be operational in coming weeks, with one of the biggest projects launching in Munich, Germany in the first days of September. It’s a different story for the gigafactories.
“These are very big investments because they are four times more powerful when it comes to computing capacities than the biggest AI factories, and it means billions in investments. Each of these need three to five billion [euros] in investment,” the commissioner said, adding that the bloc will look to set up a consortium of partners and then officially open a call for investment later this year.
Bertin Martens, senior research fellow at Bruegel, questioned why such investments needed to subsidized by government funds.
“We don’t know yet how much private investment has been proposed as a complement to the taxpayer subsidy, and what capacity and how big these factories are. This is still very much unclear at this stage, so it’s very hard to say how much this will add in terms of computing capacity,” he said.
Power consumption is also a key issue. Martens noted that building an AI gigafactory may take one to two years — but building a power generation of that size requires much more time.
“If you want to build a state-of-the-art gigafactory with hundreds of thousands of Nvidia chips, you have to count on the power consumption of at least one gigawatt for one of those factories. Whether there’s enough space in Europe’s electricity grid in all of these countries to create those factories remains to be seen… this will require major investment in power regeneration capacity,” he told CNBC.
UBS forecasts that thecurrent installed global data center capacity of 85 GW will double due to soaring demand. Based on the EU’s 20-billion-euro investment and the plan for each factory to run 100,000 advanced processors, UBS estimates each factory could be around 100-150 MW with a total capacity for all of the facilities of around 1.5-2 GW.
That could add around 15% to Europe’s total capacity — a sizeable boost, even when compared to the U.S., which currently owns around a third of global capacity, according to the data.
Following the announcement of the EU-U.S. trade framework, EU chief Ursula von der Leyen said Sunday that U.S. AI chips will help power the bloc’s AI gigafactories in a bid to help the States “maintain their technological edge.”
“One could argue that it’s relatively easy, provided you have the money. It’s relatively easy to buy the chips from Nvidia and to create these hardware factories, but to make it run and to make it economically viable is a completely different question,” Martens told CNBC.
He said that the EU will likely have to start at a smaller scale, as the region is unable to immediately build its own frontier models in AI because of their expense.
“I think in time, Europe can gradually build up its infrastructure and its business models around AI to reach that stage, but that will not happen immediately,” Martens said.
Workers assemble smartphones at Dixon Technologies’ Padget Electronics Pvt factory in Uttar Pradesh, India, on Jan. 28, 2021.
Bloomberg | Bloomberg | Getty Images
India has overtaken China to become the top exporter of smartphones to the U.S., according to research firm Canalys,reflectingthe shift in manufacturing supply chain away from Beijing amid tariff-fueled uncertainty.
Smartphones assembled in India accounted for 44% of U.S. imports of those devices in the second quarter, a significant increase from just 13% in the same period last year. Total volume of smartphones made in India soared 240% from a year earlier, Canalys said.
In contrast, the share of Chinese smartphone exports to the U.S. shrank to 25% in the quarter ended June, from 61% a year earlier, Canalys data released Monday showed. Vietnam’s share of smartphone exports to the U.S. was also higher than that of China at 30%.
The surge in shipments from India was primarily driven by Apple‘s accelerated shift toward the country at a time of heightened trade uncertainty between the U.S. and China, said Sanyam Chaurasia, principal analyst at Canalys. This is the first time India exported more smartphones to the U.S. than China.
Trump has threatened Apple with additional tariffs and urged the company’s CEO Tim Cook to make iPhones domestically, a move experts have said would be nearly impossible as it would push iPhone prices higher.
While many of Apple’s core products, including iPhones and Mac laptops, have received exemptions from Trump’s “reciprocal tariffs,” officials have warned that it could be a temporary reprieve.
Its global peers, Samsung Electronic and Motorola, have also been striving to move assembly for U.S.-bound smartphones to India, though their shift has been significantly slower and is limited in scale compared with Apple, according to Canalys.
Last-mile assembly
Many global manufacturers have been increasingly shifting their final assembly to India, allocating more capacity in the South-Asian nation to serve the U.S. market, said Renauld Anjoran, CEO of Agilian Technology, an electronics manufacturer in China.
The Guangdong-based company is now renovating a facility in India with plans to move part of its production to the country. “The plan for India is moving ahead as fast as we can,” Anjoran said. The company expects to begin trial production runs soon before ramping up to full-scale manufacturing.
While shipments, which represent the number of devices sent to retailers do not reflect final sales, they are a proxy for market demand.
Overall, iPhone shipments declined by 11% year on year to 13.3 million units in the second quarter, reversing the 25% growth in the prior quarter, according to Canalys.
Shares of Apple have tumbled 14% this year, partly on concerns over its high exposure to tariff uncertainty and intensifying competition in smartphones and artificial intelligence sector.
While the company has begun assembling iPhone 16 Pro models in India, it still relies heavily on China’s more mature manufacturing infrastructure to meet U.S. demand for the premium model, Canalys said.
In April, Trump imposed a 26% tariff on imports from India, much lower than the triple-digit tariffs on China at the time, before pausing those duties until an Aug 1. deadline.