Nvidia CEO Jensen Huang arrived in Taiwan on May 23 ahead of COMPUTEX, telling reporters that the company's next-generation AI server platform — codenamed Vera Rubin — will be the most successful product generation in Nvidia's history and potentially the largest product rollout Taiwan's electronics industry has ever seen.

Amid the continued crowding-out effect of artificial intelligence (AI) demand, IC distributor WPG Holdings said memory shortages and rising prices are weakening end-product sales momentum, and forecast that smartphone and PC production will shift from flat growth to a decline in 2026.

Nvidia's record revenue, profit, and margins are masking growing strain across its supply chain, as increasingly compressed product cycles and surging AI demand force suppliers to accelerate development, boost spending, and manage rising quality risks, according to executives and industry observers tracking preparations for the company's next-generation AI platforms.

Looking ahead to 2026, AUO said the global economy is stabilizing and returning to growth, but that international trade disputes and regional conflicts still pose risks. It added that the consumer electronics market is also being weighed down by AI-driven inflation and weak demand, creating more uncertainty for an industry recovery.

BenQ Qisda Group will participate in COMPUTEX 2026 under the theme "AI In Action," showcasing how artificial intelligence (AI) is being applied in real-world deployments. BenQ Qisda will bring together group companies to showcase a comprehensive AI portfolio ranging from computing infrastructure to industry solutions.

A French consortium called AION said it would bid for EU AI infrastructure funding to build a large AI data center campus in France worth as much as EUR10 billion (US$11.6 billion). The group formed in 2025 and is pursuing the project as part of the EU's effort to boost domestic AI capacity and reduce reliance on US technology, executives said.

UiPath announced an on-premises Agentic AI deployment service and Automation Suite designed to help regulated industries adopt AI while maintaining data security and compliance. The vendor said the move, revealed in late May, targeted sectors including banking, financial services, insurance, healthcare, and the public sector in Taiwan and Greater China, where strict data residency and governance rules have limited cloud-only AI adoption.

Wayne Wang, senior director of commercialization at Robot Era, used the 5th Mobis Mobility Day in Sunnyvale to present a two-year-old Chinese robotics company that has already supplied hardware to nine of the world's top ten technology companies — including Apple, Nvidia, Amazon and Microsoft.

Chinese server maker xFusion reached a revenue of CNY58.2 billion (approx. US$8.6 billion) for the year 2025. The figure indicates the company's rising profits as it benefits from China's push for a domestic AI supply chain and the benefits for companies breaking into the country's high-end server market.

Nvidia's H200 was a major focus after the Trump-Xi meeting, but hopes for sales into China have faded after US President Donald Trump's latest remarks. Trump said Chinese President Xi Jinping is firmly committed to developing domestic AI chips, leaving little room for common ground on the issue.

AMD said on May 21 that it plans to invest more than US$10 billion across Taiwan's semiconductor ecosystem to deepen strategic partnerships and expand advanced packaging capacity for next-generation artificial intelligence (AI) infrastructure. The initiative aims to strengthen manufacturing capabilities, accelerate the deployment of AI systems, and support the growing demand for high-performance computing hardware.

Nvidia has detailed a significant structural shift in its data center revenue reporting, introducing a new market segmentation that separates traditional hyperscale cloud providers from a rapidly expanding sector named ACIE, which stands for artificial intelligence clouds, industrial, and enterprise. While hyperscale platforms currently lead initial deployment, management projects that the ACIE segment will eventually outgrow them, owing to the massive scale of the global corporate economy.

AI-driven humanoid robots are entering a visible phase of commercialization. At the same time, software lags hardware, creating an opening for Taiwan component suppliers to target the joint module market through alliances, according to remarks at a DIGITIMES forum ahead of Computex 2026.

Auras Technology said strong AI server demand will sustain growth in thermal management through 2028, driving the company to raise its full-year revenue growth forecast for 2026. Executives disclosed the supplier expects quarterly growth throughout 2026, lifted its revenue-growth target from 50% to 70%, and sees potential for higher gross margins as shipments expand.

TSMC's restrained expansion strategy is helping the global market avoid an AI bubble, according to veteran semiconductor investor Gavin Baker, the chief investment officer at Atreides Management. Speaking at the 2026 Sohn Investment Conference, Baker's view runs counter to market consensus at a time when tech giants are pouring money into AI chips and global chip manufacturing is under unprecedented strain.

Nvidia introduced a new segment reporting framework on its first quarter of fiscal 2027 call, splitting data center revenue into Hyperscale and ACIE (AI Clouds, Industrial, Enterprise) and breaking out Edge Computing as a separate platform.

Philip Johnston, co-founder and CEO of Starcloud, opened the second day of the Plug and Play Silicon Valley May Summit in Sunnyvale with a proposition that would have sounded implausible three years ago: the most economical place to build AI data centers may soon be in orbit.

Nvidia used its first quarter of fiscal year 2027 earnings call on May 20, 2026 to lay out a three-tier silicon cadence that should make any rival roadmap look thin: a Blackwell ramp the company calls the fastest in its history, the first production silicon of Vera Rubin in the second half of this year, and a brand-new Arm CPU, Vera, that opens a US$200 billion TAM Nvidia has never touched.

Orient Semiconductor Electronics (OSE) said that strong memory market demand is lifting its outlook and expanding its role in the memory supply chain, while also strengthening its importance in surface-mount technology (SMT) for AI server boards with major US clients.

Iron Force Industrial saw short-term pressure in its operations during the first quarter of 2026, due to tariff swings in the US-China trade war, adjustments to its product mix, and foreign exchange losses from a stronger Chinese Yuan. The automotive safety parts and thermal solutions maker also pointed to new progress in its efforts to enter the AI server cooling market, with liquid-cooling products set to become a new growth driver as shipments begin in the second quarter.

Humanoid robot developers and suppliers are increasingly focused on joint-module load-bearing capabilities as a key barrier to replacing human workers, according to supply-chain sources. Industry participants cite limited payload capacity, reduced durability of reducers, and structural strength as primary constraints on commercialization.

May 20, Nvidia reported first-quarter fiscal 2027 revenue of US$81.6 billion, up 85% year-over-year and 20% sequentially. GAAP diluted EPS reached US$2.39, up 214% year-over-year, and non-GAAP EPS was US$1.87, up 140% year-over-year. Both topped consensus estimates, with revenue near US$79 billion and non-GAAP EPS of US$1.77, S&P Global Market Intelligence reported.

META Green Cooling Technology (MGC) president Clyde Chu said Nvidia's chip roadmap shows that cooling requirements are doubling in less than a year, with the NVL72 rack based on the Vera Rubin architecture, expected in the second half of 2026, requiring 130-140 kW of cooling capacity per rack. By 2027, the Vera Rubin Ultra platform could push single-rack power consumption to 200-300 kW.

Microsoft's data center expansion in India represents the continuation of a strategic regional investment trajectory, updating previously announced capital commitments rather than introducing new funding. The company is accelerating infrastructure deployment in India's fast-growing AI market, where it competes with Alphabet and Amazon for dominance in cloud services and artificial intelligence.