Quanta Computer Inc (廣達), which supplies artificial intelligence (AI) servers powered by Nvidia Corp’s chips, yesterday said it would hike capital expenditure this year by about 40 percent annually to NT$20 billion (US$660.4 million) to keep pace with growing server demand from customers including the world’s major cloud service providers (CSPs).
The company’s move came after capital spending soared about 80 percent last quarter to NT$4.7 billion from NT$2.6 billion in the corresponding period last year. Last year as a whole, Quanta spent NT$14.2 billion on new facilities and equipment.
Quanta said it is seeing CSPs maintain heavy investment in AI servers and data center infrastructure.
Photo courtesy of Quanta Computer Inc
The recent capital expenditures guidance from top US hyper-scalers confirmed that they are either maintaining or raising capital expenditure for AI devices this year, it added.
Top CSPs said they are increasing capital expenditure, albeit at a slower pace, and “that’s why we are saying the demand is still there,” Quanta chief financial officer Elton Yang (楊俊烈) told an online conference.
However, shipments of AI server racks would still be subject to the availability of chips, Yang said.
Quanta said it started ramping up production of new AI servers based on Nvidia’s GB200 chips late last quarter, but supply constraints of chips and other components are curbing output.
For the current quarter, Quanta expects demand for GB200-based servers to outpace that for servers powered by Nvidia’s previous-generation Hopper-series chips.
As a result, AI server revenue contribution this quarter would be higher than the 60 percent of total server revenue last quarter, as the company is on track to hit the 70 percent target this year, Quanta said.
However, rising demand for new-generation AI servers is expected to squeeze gross margin going forward, after it improved to 7.92 percent last quarter from 7.45 percent the previous quarter.
Gross margin was 8.48 percent in the first quarter last year, the company said.
Servers have become the largest revenue source for Quanta, accounting for about 70 percent of its total revenue last quarter. Notebook computers’ revenue share dropped to less than 25 percent, it said.
Quanta expects notebook shipments to expand by at least a high-single-digit percentage this quarter from 10.8 million units last quarter, thanks to front-loading demand from customers during the 90-day pause on US tariffs.
That might lead to a “muted” seasonal demand in the second half of this year, Quanta said.
Quanta said its operating margin could be under pressure, as it is boosting research-and-development spending in preparation for the production of next-generation AI servers powered by GB300 chips, adding that operating expenses surged 35.4 percent annually to NT$13.88 billion last quarter.
The company’s net profit in the first quarter hit the highest in the company’s history at NT$19.5 billion, surging 61.6 percent annually from NT$12.07 billion, or sequential growth of 22.8 percent from NT$15.87 billion.
Earnings per share rose to NT$5.06 from NT$3.13 a year earlier and from NT$4.12 a quarter earlier.
SECOND-RATE: Models distilled from US products do not perform the same as the original and undo measures that ensure the systems are neutral, the US’ cable said The US Department of State has ordered a global push to bring attention to what it said are widespread efforts by Chinese companies, including artificial intelligence (AI) start-up DeepSeek (深度求索), to steal intellectual property from US AI labs, according to a diplomatic cable. The cable, dated Friday and sent to diplomatic and consular posts around the world, instructs diplomatic staff to speak to their foreign counterparts about “concerns over adversaries’ extraction and distillation of US AI models.” Distillation is the process of training smaller AI models using output from larger, more expensive ones to lower the costs of training a powerful new
Singapore-based ride-hailing and delivery giant Grab Holdings’ planned acquisition of Foodpanda’s Taiwan operations has yet to enter the formal review stage, as regulators await supplementary documents, the Fair Trade Commission (FTC) said yesterday. Acting FTC Chairman Chen Chih-min (陳志民) told the legislature’s Economics Committee that although Grab submitted its application on March 27, the case has not been officially accepted because required materials remain incomplete. Once the filing is finalized, the FTC would launch a formal probe into the deal, focusing on issues such as cross-shareholding and potential restrictions on market competition, Chen told lawmakers. Grab last month announced that it would acquire
The artificial intelligence (AI) boom has triggered a seismic reshuffling of global equity markets, with Taiwan and South Korea muscling past European nations one by one. With its stock market now valued at nearly US$4.3 trillion, Taiwan surpassed the UK, Europe’s biggest market, earlier this month, data compiled by Bloomberg showed. South Korea is about US$140 billion away from doing the same. The tech-heavy Asian markets have shot past Germany and France in the past seven months. The shift is largely down to massive gains in shares of three companies that provide essential hardware for AI: Taiwan Semiconductor Manufacturing Co (TSMC, 台積電),
Shares of Taiwan Semiconductor Manufacturing Co (TSMC, 台積電) have repeatedly hit new highs, but an equity analyst said the stock’s valuation remains within a reasonable range and any pullback would likely be technical. The contract chipmaker’s historical price-to-earnings (P/E) ratio has ranged between 20 and 30, Cathay Futures Consultant Co (國泰證期) analyst Tsai Ming-han (蔡明翰) told Central News Agency. With market consensus projecting that TSMC would post earnings per share of about NT$100 (US$3.17) this year, supported by strong global demand for artificial intelligence (AI) applications, and the stock currently trading at a P/E ratio of below 25, Tsai said the valuation