An image made with a drone shows an Amazon Web Services data center in Ashburn, Va., on Sept. 23, 2025. File Photo by Jim Scalzo/EPA
Aug. 17 (UPI) — Nvidia announced on Monday that it will finance an OpenAI data center in Ohio for up to $105 billion.
The credit from Nvidia will fund the data center’s first 4.25 gigawatts in computing capacity with an option to bring 3.75 gigawatts more online. The center is slated to begin operating in Pike City, Ohio, in 2028.
The data center will be located at the PORTS-Pike Technology Campus in Pike City. It will be constructed and managed by SB Energy, a subsidiary of SoftBank Group.
Nvidia is also providing the compute power to the data center.
“This is the essential economic point: the [Load Power Supply] commitment secures a long-lived AI factory site, while the NVIDIA compute inside can be upgraded repeatedly,” NVIDIA said in a press release. “Each new generation can deliver greater production, more intelligence and better economics.”
SB Energy and SoftBank agree to build enough power supply for 10 gigawatts of energy and invest at least $4.2 billion into the regional power grid infrastructure. Nvidia has also agreed to invest $1.5 billion into SB Energy.
OpenAI said the data center will support 35,000 construction jobs through 2032. It will also support 2,500 long-term jobs.
OpenAI will pay the least on the data center as its tenant, Nvidia said.
Nvidia has recruited Wall Street to bankroll its own customers.
The US chipmaker said last week it had signed memorandums of understanding with Wall Street’s largest asset managers, including Apollo Global Management, Blackstone, BlackRock, Brookfield Asset Management, Goldman Sachs and KKR to raise upwards of half a trillion dollars for AI companies to borrow against, money that will buy its chips and build the servers that run them.
The six firms will set up what Nvidia calls “compute financing platforms,” drawing on institutional money, insurance funds and private credit. Borrowers can use the proceeds for the chips as well as servers, networking equipment, buildings and power supply.
Nvidia has the option to guarantee up to a quarter of any given deal, which lowers the interest rate its customers pay while leaving most of the credit risk with the lenders.
CEO Jensen Huang said he approached only these six companies and none refused.
Keeping that spending off their own books is precisely the point, and the fact that such a structure is needed at all tells investors a great deal about where the constraints in the AI boom now lie.
The financial engineering rests on a single reclassification. Graphics processing units (GPUs) have always been treated as equipment that loses value quickly, superseded whenever a faster generation arrives.
Nvidia is effectively asking lenders to treat them instead as long-lived infrastructure, closer to a toll road or a power plant, that can be borrowed against for years.
“These are revenue-generating assets now,” Huang said, describing them as productive, long-lived and transferable between customers.
The timing reflects a squeeze that has been building all year.
Microsoft, Amazon, Alphabet, Meta and other hyperscalers whose cloud platforms host most of the world’s AI workloads have together guided roughly $720 billion (€624bn) to $745 billion (€646bn) of capital spending in 2026, an increase of about 77% on last year.
What analysts expect the hyperscalers to spend in 2027 alone has more than doubled in the space of a year, from a consensus of $480 billion (€416bn) in August 2025 to $1.08 trillion (€943bn) this month, a rise of about 127%, according to Bank of America.
The pattern has repeated at every stage.
Analysts who already considered last year’s investment unsustainable then watched the hyperscalers guide higher at the start of 2026, revise those figures upward again through the year, and pencil in larger sums still for next year and 2028.
Moody’s has warned that spending on this scale is eating into free cash flow and pushing tech groups into heavier borrowing. Alphabet recorded negative free cash flow of $5.9 billion (€5.1bn) in a quarter when it spent $44.9 billion (€38.9bn) on projects.
That is the pressure the structure of Nvidia’s Wall Street deal relieves.
Debt raised through these “compute financing platforms” sits with the financing vehicles rather than on a hyperscaler’s own accounts and also has Nvidia’s backing, which protects credit ratings and leaves room for conventional borrowing elsewhere.
For smaller operators the effect is larger still as companies such as CoreWeave and Nebius, which lack investment-grade ratings and pay dearly for credit, gain access to capital on terms previously reserved for the giants.
The reaction was more ambivalent than the headline number suggests, and came weeks after a July selloff driven by doubts over whether AI spending will pay for itself.
Essentially, equity investors saw a bottleneck being cleared while credit investors saw something else: the cost of insuring Nvidia’s own debt against default rose after the news and has roughly doubled since late May.
Their doubt concentrates on the reclassification previously mentioned.
“Chips depreciate fast and lose value the moment a newer generation arrives,” warned Nigel Green of financial advisory firm deVere Group, noting that lending against them only works if the collateral holds its value.
Critics also point out that Nvidia is helping finance purchases of its own products, deepening the circularity that already worries the sector.
Goldman Sachs CEO David Solomon called it “a pivotal moment of a historic AI investment cycle.”
Whether it proves pivotal in the direction Solomon means depends on a question nobody can yet answer: what will the value of a current GPU be in five years?
U.S. chip giant Nvidia Corp. CEO Jensen Huang (R), accompanied by Lee Hae-jin, founder and Chair of internet giant Naver Corp., acknowledge visitors during their meeting at the Naver headquarters in Seongnam, south of Seoul, South Korea, 08 June 2026. Photo by YONHAP / EPA
July 27 (Asia Today) — Nvidia plans to invest $1 billion in South Korean technology company Naver as the companies expand a partnership to build large-scale artificial intelligence infrastructure.
Naver said Monday it would issue about 7.24 million new shares to Nvidia through a private placement. The transaction would give the U.S. chipmaker a stake of about 4.5%, making it Naver’s third-largest shareholder.
Payment for the shares is scheduled for Oct. 30.
The investment would deepen a partnership announced in June to build global AI factories serving demand for sovereign AI, which refers to AI infrastructure and models operated under a country’s own laws and data controls.
The companies previously focused on supplying graphics processing units and cooperating on technology. Nvidia’s planned equity investment would broaden the relationship into a strategic partnership involving computing infrastructure, software, customers and capital.
Naver said Nvidia decided to invest because of the South Korean company’s full-stack AI capabilities, which include data centers, graphics processor clusters, cloud platforms, large language models and consumer services.
Naver operates graphics processor infrastructure at more than 20 locations across South Korea and plans to use that experience to expand its GPU-as-a-service and sovereign AI businesses.
Naver Cloud and Nvidia are also discussing an AI computing partnership that could include joint development of global AI factory projects.
The companies plan to combine Nvidia computing systems with Naver’s cloud, software and AI services rather than limiting their relationship to hardware purchases.
Nvidia said the proposed investment is subject to customary closing conditions and Naver securing at least $9 billion in committed project financing separate from Nvidia’s investment.
Brookfield has signed a nonbinding term sheet under which the global investment firm could provide up to $9 billion for computing infrastructure. The companies are discussing a structure in which Brookfield would develop or finance graphics processor systems and data centers for Naver’s use.
Naver’s own investment obligations have not been finalized.
The company plans to begin operating a 55-megawatt AI factory in the first half of 2027, expand capacity to 100 megawatts by the end of that year and reach 200 megawatts in 2028.
Its longer-term goal is to develop gigawatt-scale infrastructure.
Naver plans to begin the project at its GAK Sejong data center and later pursue sovereign AI customers in the Asia-Pacific region, Europe and the Middle East.
The company is also seeking to improve shareholder returns. Its board voted Friday to cancel about 4.9 million treasury shares valued at approximately 1.02 trillion won ($694.5 million). The shares are scheduled to be retired Aug. 3.
“The investments by Nvidia and Brookfield will be an important turning point for Naver’s future growth,” Naver Chief Executive Officer Choi Soo-yeon said.
Choi said the company would work to secure AI factory customers and establish itself as a major global AI infrastructure provider.
Naver board Chairman Lee Hae-jin said the partnership would allow the company to take its data center technology and operating expertise to the global market.
“We will actively cooperate with companies around the world to create an AI ecosystem that respects the diversity of countries and communities,” Lee said.
— Reported by Asia Today; translated by UPI
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Original Korean report: https://www.asiatoday.co.kr/kn/view.php?key=20260727010009741
Robert Way
Nvidia (NVDA) announced on Monday that it is teaming up with Safe Superintelligence, the new artificial intelligence lab created by former OpenAI (OPENAI) co-founder Ilya Sutskever, in a “long-term strategic partnership.”
Separately, Nvidia has made an additional investment in Safe Superintelligence. The
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Apple reclaimed the title of the world’s most valuable company on Friday, overtaking Nvidia as investors grew more confident in its AI strategy.
Shares of Nvidia were down as much as four percent as worries about the valuation of artificial intelligence equities dogged the market, giving the company a valuation of about $4.8 trillion (€4.2 trillion), slightly below Apple’s $4.9 trillion (€4.3 trillion).
The company later clawed back the losses, with Apple and Nvidia trading neck and neck for the top spot.
Nvidia’s stock has soared more than 1,200% since January 2023, climbing from a split-adjusted $14.86 (€13.00) to about $205 (€179.30) by mid-July 2026. The company carried out a 10-for-1 stock split in June 2024.
Nvidia became the world’s most valuable company in 2025, driven by the AI boom sparked by the launch of ChatGPT in November 2022.
Originally designed for video games, Nvidia’s graphics processing units (GPUs) have become the core hardware used in AI data centres to train large language models developed by companies such as OpenAI, Anthropic and Google.
In recent weeks, however, analysts have begun questioning whether the massive investments in Nvidia’s chips and software will pay off as new AI products reach the market.
Those questions have intensified as ChatGPT-maker OpenAI and rival Anthropic, two of the most valuable private companies in history, having filed to go public.
Meanwhile, investor confidence in Apple confidence in Apple has strengthened in recent weeks, pushing its shares up about 20% since late June. Apple also unveiled a redesigned version of Siri, receiving broadly positive early reviews.
Robert Way
Nvidia (NVDA) shares rose more than 1% on Monday after the Jensen Huang-led company refuted a report that said its next-generation ‘Kyber’ AI rack was delayed until 2028.
“Our roadmap is intact,” an Nvidia spokesperson told Seeking Alpha via email.
Nvidia next-gen 'Kyber' AI rack delayed to 2028 on manufacturing snags: report
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The world’s most valuable company, the chipmaker Nvidia, priced a $25 billion (€21.5bn) bond offering on Monday, marking its first issuance since 2021 and one of the largest by a technology company this year.
The deal was originally pencilled in at around $20 billion (€17.2bn) but was enlarged after demand ran more than three times the size of the bond, according to a person familiar with the matter cited by Bloomberg.
Investor appetite was the headline of the sale.
Orders reached as high as $85 billion (€73.2bn), allowing Nvidia to upsize the transaction and tighten its borrowing costs in the process.
The timing was also favourable.
The announcement of a US-Iran framework deal to end the conflict in the Middle East steadied credit markets, pushing investment-grade spreads to their narrowest levels since early February, before the Iran war began.
That backdrop helped Nvidia lock in relatively cheap long-term financing.
According to Bloomberg Intelligence analyst Robert Schiffman, inexpensive long-dated debt lowers Nvidia’s weighted average cost of capital and helps bankroll its AI investments without threatening its AA credit rating.
A company spokesperson stated that the proceeds would be used for general corporate purposes, including repaying and refinancing existing notes.
Nvidia last tapped the investment-grade market in June 2021, when it sold $5 billion (€4.3bn) of notes across four maturities, according to a regulatory filing.
The contrast in scale underscores how quickly its financing needs have grown alongside the data centre build-out and increased demand from hyperscalers.
Nvidia joins a queue of technology giants raising vast sums to fund AI infrastructure.
Meta and Oracle have each issued $25 billion (€21.5bn) in bonds this year, while Amazon completed a single $37 billion (€31.8bn) deal, the largest US investment-grade offering of this year before Nvidia’s issuance on Monday.
For Nvidia, the raise also keeps share dilution off the table, giving it greater flexibility as capital commitments mount. The firm has invested $5 billion (€4.3bn) in Intel, pledged up to $10 billion (€8.6bn) to Anthropic and contributed $30 billion (€25.8bn) to OpenAI’s latest funding round.
Nvidia shares closed up 3.5% at $212.45 after the deal, valuing the company at about $5.14 trillion (€4.42tn).
On the other hand, Alphabet, Google’s parent company, opted for equity instead, pricing an upsized $84.75 billion (€73bn) capital raise earlier this month, after originally seeking around $80 billion (€68.9bn), according to a company filing.
The transaction, which includes a $10 billion (€8.6bn) private placement from Berkshire Hathaway, ranks as the largest equity capital raise on record and is intended to fund the group’s AI compute expansion.
Management has guided 2026 capital expenditure to between $180 billion (€155.1bn) and $190 billion (€163.7bn).
However, the equity move came on top of an already heavy borrowing run. According to its own filing, Alphabet raised more than $85 billion (€73.2bn) of debt across six major currencies and markets in the first quarter of 2026, taking its total debt balance above $100 billion (€86.1bn).
That included a US dollar bond round early in the year, leaving Google relying on both debt and equity financing to bankroll its AI ambitions.
Nvidia chief executive officer Jensen Huang, left, and Naver Chairman Lee Hae-jin appear at Naver’s Vision Studio at its 1784 headquarters in Seongnam, south of Seoul, on Monday. Photo courtesy of Naver
June 12 (Asia Today) — OpenAI chief executive officer Sam Altman is expected to visit Naver on Monday, a week after Nvidia chief executive officer Jensen Huang met with the South Korean technology company’s leadership.
Industry sources said Altman plans to visit South Korea during a two-day trip beginning Sunday and meet officials from major Korean companies, including Naver, Kakao and Samsung Electronics, to discuss artificial intelligence cooperation.
The expected Naver visit comes shortly after Huang visited Naver’s 1784 headquarters in Seongnam, south of Seoul, on Monday and met with Lee Hae-jin, Naver’s founder and chairman.
The back-to-back visits by two of the most influential figures in the global AI industry are drawing renewed attention to Naver’s role in the sector. Industry officials said OpenAI may be interested in Naver’s data, service ecosystem and experience operating consumer platforms at scale.
Naver has built large user data assets through search, shopping, content, community, mapping and reservation services. As competition in generative AI increasingly depends on access to high-quality data, those assets are viewed as one of Naver’s main strengths.
Naver recently outlined what it calls a “product-native LLM” strategy, saying it will optimize AI for specific services such as search, shopping, maps and reservations rather than rely only on a single general-purpose model.
The company develops its own AI models and also operates a creator ecosystem of about 20 million people, with more than 630 million pieces of content produced annually. It also owns large-scale data center infrastructure and runs the services where AI can be applied directly to users.
A Naver official said competition in AI is changing quickly.
“In the past, the key was developing a better model,” the official said. “Now, the ability to secure high-quality data, service experience and the infrastructure to support them is emerging as a decisive factor.”
Naver is also seeking to expand AI search into agentic AI services, in which AI does not simply answer a user’s question but can help complete tasks such as reservations and purchases.
Global interest in Naver also grew after Huang’s visit this week. During his meeting with Lee, the Nvidia chief described Naver as a “world-class AI company.”
Huang cited possible cooperation with Naver in several areas, including participation in Nvidia’s Nemotron Alliance, the development of AI factories and robotics. He said Naver was selected because it has world-class cloud technology and AI talent.
Industry officials said Nvidia appears to view Naver as an AI infrastructure partner, while OpenAI may see potential in Naver’s data and service ecosystem.
“Naver’s combined strength in AI models, data, services and infrastructure is attracting attention from global AI companies,” one industry official said.
— Reported by Asia Today; translated by UPI
© Asia Today. Unauthorized reproduction or redistribution prohibited.
Original Korean report: https://www.asiatoday.co.kr/kn/view.php?key=20260612010004347
SpaceX is set for the largest stock market debut ever.
Elon Musk’s rocket company begins trading on the Nasdaq on Friday under the ticker SPCX. The company priced its shares at $135 each, raising $75 billion (€64.5bn) and valuing the business at $1.75 trillion (€1.5trn) in the biggest stock market flotation on record.
The deal would comfortably eclipse Saudi Aramco’s previous record of $29.4bn, set in 2019 and later increased through an overallotment option.
SpaceX made an unusually strong push to attract retail investors, including those in Europe. According to Bloomberg, individual investors placed roughly $100bn (€86.6bn) in orders through trading platforms including Robinhood, Fidelity and SoFi during the IPO process.
That demand alone exceeded the company’s $75bn (€64.5bn) fundraising target, underscoring the level of interest from smaller investors ahead of the stock market debut.
Yet beneath the hype, several warning lights are flashing. Here are five risks investors should weigh before the SpaceX IPO goes live.
At a valuation of $1.75tn (€1.5trn), investors would be valuing SpaceX at roughly 94 times its annual revenue, which was $18.7bn (€16.1bn) in 2025. By comparison, Nvidia — one of the market’s most highly valued technology companies — trades at less than a quarter of that level.
The investment research firm Morningstar, which values the company at $780bn (€675bn), called it “significantly overvalued” while Goldman Sachs data suggests sustaining the share price would require revenues above $100bn (€86.6bn) by 2030, implying a compound annual growth of more than 40%.
History offers a note of caution. Research by University of Florida professor Jay Ritter, often referred to as “Mr IPO”, found that while IPOs between 2012 and 2021 rose an average of 23.6% on their first day of trading, they returned just 10.6% over the following three years.
SpaceX’s expected inclusion in major stock indexes has become a point of controversy. Investment officials from four large US states have urged Nasdaq and FTSE Russell to explain recent rule changes that could accelerate the company’s entry into widely tracked benchmarks.
Critics argue the move could expose passive investors to a highly valued stock sooner than expected, while the index providers say the changes reflect broader market developments.
The debate matters because relatively few SpaceX shares will initially be available for trading. Although SpaceX is valued at $1.75tr (€1.5trn), only around 3% to 4% of its shares will initially be available for public trading.
That means the company’s market value will be determined by trading in a relatively small portion of its equity. Reports suggest more than 75% of the $75bn (€64.5bn) offering has already been allocated to existing investors and insiders, leaving fewer shares available on the open market.
According to Morningstar, the limited float and strong demand for artificial intelligence-related stocks could help support the share price in the early stages of trading, even if the company is valued above what the research firm considers fair value. The firm argues that a clearer picture of investor demand may emerge once lock-up restrictions expire and more shares become available for trading.
Some analysts, however, believe the limited float could continue to support the stock. Estimates suggest between $22 billion (€19bn) and $27 billion (€23.4bn) of passive investment could flow into SpaceX once it joins the Nasdaq 100, creating additional demand from index-tracking funds.
SpaceX’s financial results may also give investors pause.
The prospectus shows that the company is growing rapidly but still losing money.
The company owns the Starlink satellite internet service, which generates most of its revenue and is its only profitable business. It also owns the artificial intelligence company xAI, which merged with SpaceX in February.
According to the filing, SpaceX carried an accumulated deficit of $41.3bn (€35.76bn) as of 31 March and reported a net loss of $4.27bn (€3.7bn) in the first quarter of 2026.
This compares with $528mn (€457mn) in the same period a year earlier.
Much of the recent loss stems from xAI. According to SpaceX’s IPO filing, the AI business recorded an operating loss of about $6.4 billion (€5.5bn) in 2025. The filing also showed xAI spent heavily in the opening months of 2026 as it expanded its AI infrastructure.
Morningstar argues the AI unit “poses a material threat of value destruction”, noting that Grok has yet to win meaningful market share against rival chatbots.
Supporters counter that the losses are a choice, not a structural flaw.
Revenue climbed 33% to $18.7bn (€16.2bn) in 2025, up from $14.1 billion (€12.2bn) a year earlier. The underlying launch and satellite business was profitable as recently as 2024. The deficits largely reflect heavy investment in AI infrastructure, spending that supporters say is already beginning to be offset by new compute contracts.
Supporters argue investors are paying for future growth rather than current profits.
Starlink remains the company’s main source of revenue, while its artificial intelligence business is expected to play a larger role in the years ahead.
Bulls also point to SpaceX’s dominant position in rocket launches and satellite communications, arguing the company is uniquely placed to benefit from growing demand for connectivity, computing power and AI infrastructure.
SpaceX conducts more rocket launches annually than the rest of the world combined and counts over nine million Starlink subscribers, but its newest growth driver is the AI data-centre business acquired through the xAI merger.
Last Friday, Google agreed to pay SpaceX $920 million (€796.6mn) per month for compute capacity at xAI data centres, in a 32-month deal running from October 2026 through June 2029, and covering access to roughly 110,000 Nvidia GPUs.
That followed a May agreement under which Anthropic pays $1.25 billion (€1.08bn) a month to rent the entire output of the Colossus 1 data centre until May 2029, putting combined annualised compute revenue at around $26 billion (€22.5bn).
Bulls argue this contracted income, won in under four months, shows how quickly the company can monetise its infrastructure. Sceptics note that both contracts carry 90-day termination clauses after December 2026, and that Google itself has framed the arrangement as “bridge capacity” rather than a permanent commitment.
SpaceX’s success is closely tied to Elon Musk, whose profile and track record have helped attract investors, customers and business partners. That creates what investors call “key-person risk” — concerns about how the company would fare if he were no longer leading it.
The company’s governance structure reinforces that dependence. Musk’s super-voting Class B shares give him around 85% of voting power, leaving outside shareholders with little influence over major corporate decisions. In practice, that means no one but Musk himself can determine whether he remains chief executive.
Critics also point to SpaceX’s incorporation in Texas, where only investors holding at least 3% of shares can bring derivative lawsuits. The Danish academic pension fund AkademikerPension has blacklisted the stock, describing the governance structure as “catastrophic”.
Supporters argue that dual-class share structures are common among US technology firms, including Meta and Alphabet. They say concentrated voting control allows founders to pursue long-term goals without pressure from short-term investors.
Musk’s prominence also brings political risk. US Senator Elizabeth Warren has urged the Securities and Exchange Commission to scrutinise the listing, warning that future index inclusion could expose millions of passive investors to the stock without them actively choosing it.
Others note that the SEC completed its review faster than expected, allowing the IPO process to move ahead without delay and suggesting regulators see no immediate obstacle to the listing.
Disclaimer: This information does not constitute financial advice, always do your own research on top to ensure it’s right for your specific circumstances. Also remember, we are a journalistic website and aim to provide the best guides, tips and advice from experts. If you rely on the information here, then you do so entirely at your own risk.
Nvidia Chief Executive Jensen Huang, left, and Naver founder and board Chairman Lee Hae-jin greet attendees at Naver’s 1784 headquarters in Seongnam, south of Seoul, on Monday. Photo by Asia Today
June 8 (Asia Today) — Naver said Monday it will work with Nvidia to build a gigawatt-scale artificial intelligence factory, starting from its hyperscale data center in Sejong.
Naver founder and board Chairman Lee Hae-jin and Chief Executive Choi Soo-yeon met Nvidia Chief Executive Jensen Huang at Naver’s 1784 headquarters in Seongnam, south of Seoul, to discuss a joint business road map and global expansion strategy.
Huang greeted employees and visitors at the building, saying, “I love Naver.” He also joined a Naver Webtoon event and wrote, “Don’t worry! I have GPUs!” in a blank space on a display.
Naver and Nvidia said they agreed to pursue a joint project to build a large-scale global AI factory. The partnership goes beyond technology cooperation, covering demand development, investment and infrastructure construction across the value chain.
Naver will participate as a core partner sharing business results and risks.
The project will be based at Gak Sejong, Naver’s hyperscale data center. Naver plans to begin operating 55 megawatts of infrastructure in the first half of 2027, expand to 100 megawatts later that year and reach 200 megawatts in 2028. The company ultimately aims to build gigawatt-scale AI infrastructure.
Naver plans to use Gak Sejong to serve AI demand not only in South Korea but also in Asia, the Middle East and Europe.
The cooperation centers on combining Naver’s data-center and GPU cluster operation capabilities with Nvidia’s DSX platform. Nvidia DSX integrates chips, servers, software and data-center operating technologies for AI factories. The platform is designed to lower AI model training and inference costs and speed up infrastructure deployment.
Naver plans to use the technology to expand AI infrastructure services for companies, governments and industrial clients.
The companies also plan to broaden technical cooperation. Naver has been improving its HyperCLOVA X AI model by using Nvidia’s open large language model Nemotron. It is also working to develop a “Seoul world model” by combining Nvidia’s Cosmos world foundation model with Naver’s street-view and spatial modeling technologies.
The cooperation is expected to expand into physical AI, robotics and digital twins.
The meeting marked another step in the companies’ existing partnership. Lee and Huang met last year during the Asia-Pacific Economic Cooperation summit in Gyeongju to discuss cooperation on physical AI platforms.
Naver 1784 is considered a showcase for robotics, digital twins and cloud technologies. Huang was expected to review areas for expanded cooperation during his visit.
Naver is seeking to move beyond its role as an internet services company and become a global AI infrastructure provider. Huang recently introduced Naver Cloud as a key partner in the global AI ecosystem during Nvidia GTC Taipei 2026. Naver said it plans to accelerate its sovereign AI and AI data-center businesses through cooperation with Nvidia.
Naver shares also rose Monday. The stock closed at 279,000 won, or about $181, up 9.20% from the previous trading session, according to the Korea Exchange. Market analysts attributed the gain to investor expectations for the large-scale AI factory project and Naver’s global AI infrastructure expansion.
— Reported by Asia Today; translated by UPI
© Asia Today. Unauthorized reproduction or redistribution prohibited.
Original Korean report: https://www.asiatoday.co.kr/kn/view.php?key=20260608010002635
NVIDIA CEO Jensen Huang delivers his keynote speech as part of the COMPUTEX 2026 AI exhibition in Taipei, Taiwan, 01 June 2026. Jensan Huang officially announced NVIDIA’s new products and various AI integration. Photo by RITCHIE B. TONGO / EPA
June 2 (Asia Today) — Naver Cloud is moving to expand its presence in the global artificial intelligence infrastructure market through a deeper partnership with Nvidia.
The company aims to combine its HyperCLOVA X large-scale AI model and sovereign AI capabilities with Nvidia’s AI infrastructure platform to become a key player in the era of AI factories.
Industry officials said Tuesday that Naver Cloud CEO Kim Yu-won attended the Nvidia Cloud Partner Summit in Taiwan and outlined the company’s strategic cooperation with Nvidia.
The partnership is drawing attention because it goes beyond a simple graphics processing unit supply arrangement and extends across infrastructure, AI models and services.
Nvidia CEO Jensen Huang introduced Naver Cloud as a major AI-native cloud partner in the global AI ecosystem during his keynote speech at GTC Taipei 2026 on Monday.
The two companies also plan to expand cooperation in large language models. Naver Cloud plans to use Nvidia’s open large language model technology, Nemotron 3 Ultra, to advance HyperCLOVA X. The companies also plan to jointly study model optimization and core technologies.
Cooperation will also continue in physical AI. In March, Naver Cloud unveiled the Seoul World Model, a digital recreation of Seoul built with Nvidia’s Cosmos physical AI platform.
The Seoul World Model was trained on South Korean map data and 1.2 million panoramic images collected across Seoul, allowing it to reproduce real road environments and spatial structures.
Naver Cloud plans to target the global AI market by emphasizing its full-stack capabilities, which combine its own AI models and cloud infrastructure. The company also plans to expand sovereign AI projects that protect national data sovereignty by working with governments and local companies.
Naver board chair Lee Hae-jin and Huang are expected to meet soon in South Korea and disclose specific plans for the AI factory project.
“The AI industry paradigm is shifting from models to inference-focused AI factories that can operate large-scale infrastructure reliably,” Kim said. “Our cooperation with Nvidia is not a simple supply relationship but a strategic decision to expand the global AI ecosystem together.”
— Reported by Asia Today; translated by UPI
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Original Korean report: https://www.asiatoday.co.kr/kn/view.php?key=20260602010000541
Nvidia CEO Jensen Huang, right, visits the SK hynix booth at Computex 2026 with SK Group Chairman Chey Tae-won on Tuesday. Photo courtesy of SK hynix
June 2 (Asia Today) — Nvidia CEO Jensen Huang visited the SK hynix booth at Computex 2026 in Taipei on Tuesday, meeting SK Group Chairman Chey Tae-won for a second straight day as the companies deepen their artificial intelligence partnership.
Huang, who met privately with Chey on Monday, examined SK hynix’s major memory products and wrote “Please Make More” on an HBM4E wafer displayed at the booth.
Chey also signaled that SK plans to expand production. He said the group aims to double wafer production capacity within five years as demand for memory chips is expected to surge.
Huang toured the booth with Chey and SK hynix executives. He signed the HBM4E wafer with the message “Please Make More” and wrote “LOVE SOCAMM” on a 192GB SOCAMM product.
SK hynix currently supplies Nvidia with its latest high-bandwidth memory, including sixth-generation HBM4, as well as high-performance low-power LPDDR5X memory. Huang said in his GTC Taipei keynote Monday that Nvidia will begin full-scale production of its next-generation AI accelerator, Vera Rubin, in the second half of this year.
As AI demand increases and memory supply shortages deepen, Chey said SK is moving quickly to expand production.
“The memory bottleneck is expected to continue until 2030,” Chey told reporters at the SK hynix booth. “We are pushing forward at full speed to expand production capacity.”
“Building new memory fabs requires enormous investment and takes at least three years,” he said. “Despite these challenges, we plan to double wafer production capacity over the next five years.”
It was the first time SK Group publicly presented a specific goal of doubling its overall production capacity within five years. SK hynix is making large-scale investments to strengthen production capacity, including projects at its M15X and P&T7 facilities in Cheongju, the Yongin semiconductor cluster and an advanced packaging plant in the United States.
— Reported by Asia Today; translated by UPI
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Original Korean report: https://www.asiatoday.co.kr/kn/view.php?key=20260602010000823
Published On 1 Jun 20261 Jun 2026
Nvidia is set to bring artificial intelligence to laptop and desktop computers with brands like Microsoft and Dell later this year as the US tech giant broadens its AI presence.
The Santa Clara, California-based AI chipmaker unveiled on Monday at its annual Nvidia GTC event in Taipei new powerful chips that would bring advanced AI functions to laptops and desktop computers.
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CEO Jensen Huang said that the new development is “going to reinvent the PC [personal computer]”.
The changes come amid three years of collaboration between Microsoft and Nvidia and pit the latter against companies like chipmaker Advanced Micro Devices and personal computer brands Intel and Apple.
“This is going to be the new PC,” Huang said as he unveiled Nvidia’s RTX Spark superchip — which combines CPU, or central processing unit, and GPU, or graphics processing unit, capabilities — that would power new Windows laptop and desktop computer models in what the company called “AI personal computers”, expected to debut in the fall of this year.
The chip, developed with Taiwan’s MediaTek, will be in compact desktops from Dell, HP, Lenovo, ASUS, Microsoft Surface and MSI, with models from Acer and GIGABYTE to follow.
Nvidia, which is already the world’s most valuable company, said the reinvention will be for creating and gaming.
“When it has an autonomous [AI] agent, an agent that’s helping you, that understands you, you could talk to it. It could look at you. You could ask it to read files, go help you do some research. It could do a lot more,” Huang said.
Microsoft said in a separate statement that the personal computers running on Nvidia’s RTX Spark superchips would be able to support “highly capable AI models” and complex workloads. With the new superchips, these personal computers can run AI agents locally, Nvidia said.
“This is the first across the lineup of PC reinvention for 40 years,” Huang said.
Nvidia’s move is significant at a time when demand is growing for the use of personal AI agents, said Lian Jye Su, chief analyst at the technology research and advisory group Omdia.
“For consumers, it means more choices, which is always a good thing,” Su said.
Neil Shah, analyst and co-founder of Counterpoint Research, described Nvidia’s announcement as a move that’s “revolutionising how PCs would look like in the next 10 years”.
The new laptops and desktop computers “will drive agentic AI applications in every home”, Shah said, with an aim of having an “AI supercomputer” in each household.
Also during Monday’s speech, Nvidia’s Huang said its new Vera CPUs for data centres are in full production and are “going to be our new major growth driver” on the boom of AI agents, with early customers including Anthropic, OpenAI and SpaceXAI.
Huang also revealed a humanoid robot reference design that could act as a blueprint for future research, especially within the higher education sector. Nvidia said its “Isaac GR00T” stands nearly 1.83 metres (6 feet) tall and has the humanoid chassis of Chinese robot maker Unitree’s H2. It is equipped with five-fingered dexterous hands, made by Singapore-based robotics startup Sharpa, that are capable of finely controlled movements.
Reception for AI PCs has been mixed so far. HP reported last week that the devices helped prop up quarterly sales, but Dell said earlier this year that demand had fallen short of initial expectations. Qualcomm, looking to capitalise on AI demand, has also been offering AI PCs with Microsoft.
On Wall Street, Nvidia stock rose nearly 4 percent on the news in midday trading. Microsoft ticked up 2.5 percent and Dell surged 9.3 percent. Competitors AMD and Intel, on the other hand, are on the decline. AMD is down 0.1 percent from the market open, and Intel is down by 2.5 percent.
BING-JHEN HONG/iStock Editorial via Getty Images
Nvidia’s (NVDA) CEO Jensen Huang said the company plans to invest about $150B a year in Taiwan while announcing a new expanded campus in Taipei.
“Four years ago, five years ago, Nvidia was spending about 10, 15 billion dollars a year in Taiwan. Now