Samsung Electronics' packaging technology lead, Lee Hee-seok, outlined the company's advanced semiconductor packaging roadmap at Advanced Semiconductor Packaging & Chiplet Show (ASPS) 2026. Beyond sharing target production timelines and specifications for fan-out panel-level packaging (FOPLP) and glass substrates, Lee emphasized AI's pivotal role in driving packaging R&D forward.

Surging AI chip demand continues to outstrip TSMC's advanced packaging capacity. At the same time, massive AI server shipments are driving up demand for CPUs, networking equipment, power management ICs (PMICs), and peripheral silicon, rapidly soaking up traditional packaging capacity. IC design insiders reveal that several outsourced semiconductor assembly and test (OSAT) providers have already warned clients that traditional packaging capacity could face a deficit exceeding 20% by 2027. New capacity cannot be added quickly enough, with the supply of wire bonding equipment emerging as the primary bottleneck.

Renesas Electronics has opened a physical AI and robotics lab in Beijing, a move that could speed the development of safer, smarter machines for factories, logistics, and homes worldwide. The facility is designed to help customers test, validate, and co-develop robotic systems as physical AI shifts from concept to real-world deployment.

Marvell Technology used its second-quarter fiscal 2027 earnings call on August 27 to lift its revenue outlook for a second consecutive quarter, and the composition of the raise says more about the AI infrastructure cycle than the headline number does. Management now expects fiscal 2027 revenue of roughly US$12 billion, up from approximately US$11.5 billion a quarter ago, and fiscal 2028 revenue of approximately US$18 billion, up US$1.5 billion from the US$16.5 billion guided three months earlier. Growth is accelerating off a larger base: fiscal 2028 is now guided at about 50% growth, up from roughly 45% previously.

Marvell Technology's second quarter of fiscal 2027 was the point at which its data center business stopped being the growth engine attached to a diversified infrastructure chipmaker and became substantially the whole company. Revenue for the three months ended August 1, 2026, reached a record US$2.74 billion, up 37% from a year earlier, with the data center end market contributing US$2.17 billion, or 79% of the total, against 74% a year ago. Everything else - the carrier, enterprise networking, consumer, and automotive businesses grouped as communications and other - grew 10% and shrank as a share of the company.

Taiwan is charting a new direction for its biomedical industry, drawing on its strengths in semiconductors, AI hardware, precision manufacturing and healthcare. AI-powered drug discovery, smart medical devices and biomedical chips are emerging as priority areas.

China's CMOS image sensor industry is gaining ground beyond smartphones, with robotics emerging as one of the latest areas where domestic suppliers are linking sensor technology with higher-level perception systems.

Efforts to curb the illicit trade of advanced AI hardware to China have intensified following a series of indictments and probes targeting the supply chain.

Rebellions is pursuing deployment of more than 100 NPU-based computing racks in the UK through a partnership with British AI infrastructure startup Callosum, giving the South Korean chipmaker a potential entry point into Europe's emerging sovereign computing market.

Nvidia has made a point of it in three consecutive earnings decks: year-on-year growth has accelerated for four straight quarters, which the company calls unprecedented at its scale. It's true. But split the data center business into its two halves, and the acceleration has a single source, and it isn't the customers everyone assumes.

The five largest cloud operators spent US$181.5 billion on property and equipment in the June quarter, 87% more than a year earlier. Nvidia's hyperscale revenue was US$48.7 billion — 26.8 cents of every dollar they spent, down from a peak of 33.2 cents three quarters ago.

Nvidia said in its fiscal 2027 second-quarter results on the 27th that it sold a small number of H200 artificial intelligence (AI) processors to Chinese customers last quarter, marking its first renewed AI chip sales to China since shipping about US$60 million of H20 chips in early 2025. But shipments fell short of the total approved by US President Donald Trump and licenses cleared by the US government in January, amid opposition from Beijing.

Nvidia closed its second fiscal quarter with US$31.6 billion of inventory, but the more consequential change is what that inventory now consists of. Work in process and raw materials together account for 78% of the balance, against 42% a year earlier. The mix shows a company committing to scarce memory well ahead of the Vera Rubin ramp, and absorbing the cost several quarters before customer price increases land.

Nvidia's data center business now splits almost evenly between hyperscalers and everyone else — US$48.7 billion against US$40.3 billion in the July quarter. The obvious reading is that the customer base is broadening. The sequence says something more specific.

The recent disclosure of SpaceX's partnership with Nvidia to deploy Vera CPUs as part of the architecture behind SpaceXAI's Starmind AI satellite was an outright showcase of where the two tech giants are decisively headed in the agentic AI era, as their collaboration deepens into one huge, interconnected ecosystem of orbital compute.

Google and MediaTek are moving toward advanced packaging diversification, as Intel's embedded multi-die interconnect bridge (EMIB) gains traction after Google's TPU was confirmed to adopt the packaging technology. The shift is fueling expectations that more advanced packaging orders could move to Intel, while TSMC's chip-on-wafer-on-substrate (CoWoS) remains tight on capacity.

Weltrend Semiconductor said first-half 2026 revenue rose 28% from a year earlier to a record for the period, with growth driven almost entirely by cooling demand tied to AI data center investment.

Xiaomi is expanding Xring from a smartphone chip program into a broader AI computing platform spanning consumer devices, vehicles, and edge inference, with three processors assigned to distinct workloads.

Amazon Web Services (AWS) and Nvidia are expanding their collaboration to add millions of GPUs and new infrastructure for agentic and physical AI. The move signals rising global demand for advanced computing, with implications for cloud customers, governments, and robotics developers seeking faster, more secure access to AI tools worldwide.

For the first time in this cycle, Nvidia has told investors where its gross margin will bottom out and how far short of demand its supply will fall - two admissions that shift the question from whether the AI buildout continues to who absorbs its rising input costs. Management guided gross margin down from 75.0% to a trough of 71-72% by the fourth quarter, directly blamed memory pricing, and capped fiscal 2028 revenue growth at about 70% against demand it put at nearer 100%. Neither disclosure is a demand warning. Both say the company is now managing a shortage rather than a market.

Growth has stopped being the interesting question at Nvidia. Revenue for the quarter ended July 26, 2026 was US$96.2 billion, up 106% from a year earlier, and Data Center accounted for US$89.0 billion of it, up 117%. Gross margin held at 75.0% even as the Vera Rubin platform moved into volume—unusual, because a new rack-scale architecture normally costs a quarter or two of margin while yields settle. On the operating line, the quarter was close to flawless.

Nvidia has put a figure on its exposure to the AI labs it helps fund. On its second-quarter earnings call, chief financial officer Colette Kress said the company expects "demand from the AI labs for which we expect to leverage our balance sheet to contribute toward roughly a quarter of our business next year." That single sentence reframes the financing question. The issue is no longer whether Nvidia supports its customers' balance sheets, but that a quarter of forecast revenue now depends on structures the company itself has arranged.

The sharpest question on Nvidia's second-quarter call came a Bank of America analyst, who noted that OpenAI and Anthropic - both major beneficiaries of Nvidia's ecosystem investment - are designing their own chips, and that OpenAI had, days earlier, claimed its Jalapeno part outperforms Blackwell.

Nvidia has guided a full year in advance for the first time, and the number it chose is not a demand forecast. Chief financial officer Colette Kress told the company's second-quarter earnings call that Nvidia expects to grow revenue by approximately 70% in fiscal 2028, then immediately qualified it: "This is a supply-constrained outlook." Customer forecasts, she said, "point to our growth doubling next year." The 30-point gap between what buyers want and what Nvidia has committed to ship is now the central fact about the company's next four quarters, and it is what the Vera Rubin, Groq, and Vera CPU ramps exist to close.

Apple took pre-orders on August 25 for a new Mac mini and Mac Studio. Both will ship on September 22. Prices of the Mac mini start at US$899 with the M6 chip, or $1,699 with the M5 Pro. Mac Studio starts at $2,499 with M5 Max and $5,499 with M5 Ultra. The 512GB memory version comes in late October.