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.

Ablecom Technology said it had joined a private placement for Jochu Technology and become the listed company's largest shareholder, giving the Taiwan-based chassis and thermal solutions provider access to additional capacity for AI server racks and liquid cooling products. The move is designed to help Ablecom address rising demand from global data centers for high-density computing, while the two companies plan to work more closely on production and technology.

Nvidia is aggressively expanding into open-source models and positioning itself as the world's largest open AI contributor, as CEO Jensen Huang reshapes the company from a supporter of the open AI ecosystem into a builder. The company recently spent US$6 billion to license Poolside's technology and hire about 100 of its engineers, adding momentum to the US open-model push.

India's data center story has split in two. The pipeline forecasts keep getting bigger, but the money actually landing has thinned sharply since June — and the reason is no longer demand or capital availability. It is environmental clearance, temple land, water accounting, and grid load, questions that courts, local residents, and state governments are all now asking before the concrete is poured.

Lambda, the Nvidia-backed neocloud provider, is seeking to raise as much as US$3 billion before a planned 2027 listing, with its valuation potentially reaching US$12 billion, according to people familiar with the matter. Bloomberg reported that Lambda’s 2026 revenue is projected to exceed US$1.5 billion, and that the company has already received several investment term sheets, though the deal terms have not been finalized.

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.

Chinese GPU vendors are beginning to extend their applications beyond terrestrial computing and into space. The recently launched Yunjian Muxi satellite (Jitianxing A-04) carries an intelligent computing payload powered by a domestically developed MetaX GPU, marking an effort to validate Chinese AI chips under real-world space conditions.

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.

Foxconn is accelerating the geographic diversification of its global manufacturing capacity as AI server demand surges and supply-chain regionalization continues, with 2026 capex expected to rise more than 30% year on year. In China, however, the company is not mounting large-scale capacity expansion in step with the U.S., Mexico, India, and Vietnam. Instead, it is shifting investment toward equipment restructuring, precision manufacturing upgrades, and higher-end production capabilities at existing plants.

Nvidia used Hot Chips 2026 to disclose more details about Vera, its next-generation data-center CPU, as the company pushes deeper into the standalone server processor market long dominated by Intel and AMD.

India's AI infrastructure push is gaining pace, with implications that extend far beyond the country's borders. According to Bloomberg, AM Intelligence has ordered 9,000 Nvidia Vera Rubin systems as global demand for advanced computing continues to strain supply, underscoring how power, data centers, and chip access are becoming strategic priorities worldwide.

A key figure responsible for OpenAI's data center plans left the company last week, the latest in a string of departures just as it invests heavily in its AI infrastructure build-out and prepares for an IPO next year. This also illustrates the challenges the industry faces in retaining talent, even among top companies offering large pay packages.

Taiwan's Financial Supervisory Commission said on August 25 that strong global demand for Taiwan-made AI servers and high-performance computing lifted corporate earnings in the first half of 2026. The agency said pretax profits at listed and OTC companies reached their highest first-half level in 10 years.

Nvidia has introduced Jetson Orin Nano 2, a compact robotics computer aimed at entry-level edge AI, with implications for developers building autonomous machines worldwide. The system promises faster, more efficient on-device intelligence for robots, drones, and vision systems as physical AI adoption expands across industries and markets.

Anthropic confirmed on August 5 that it is building an internal silicon team to design custom chips for its Claude models, signaling a sharper push into self-developed AI hardware. The move is set to influence the company's compute procurement plans and could reshape order shares among ASIC vendors.

The 2nd World Humanoid Robot Games put China's rapid advances in robotics on full display — but beyond the record-breaking sprints and human-robot sports demonstrations, the event raised a tougher question for the industry: can humanoid robots move past the highlight reel and become reliable, economically viable workers?

Taiwan's AI server supply chain is stepping up investment in China, but expansion is concentrated in components rather than full-system assembly. By contrast, Taiwan's notebook PC production in China is mostly flat as the industry shifts to Southeast Asia and other non-China locations.

Global demand for AI and high-performance computing (HPC) has lifted investment returns for Taiwan-listed companies in China, with Foxconn continuing to lead the pack. According to CRIF, Foxconn's total China investment returns in the first half of 2026 reached NT$117.6 billion (US$3.7 billion).

As Nvidia's next-generation Vera Rubin platform enters deployment, Taiwan's server supply chain is finding ways to bridge the transition gap before ramping up volume production. Ongoing shipments of the existing GB series, custom ASIC server deployments led by Google and Amazon Web Services (AWS), and general-purpose servers are all providing revenue support to cushion the interim shortfall.

Intel pitched its next-generation Diamond Rapids Xeon at Hot Chips 2026 as the company bets that agentic AI will increase the role of general-purpose processors in AI infrastructure, even as AMD and Arm gain ground in the server CPU market. The company also detailed Crescent Island, a GPU aimed at AI inference, and Wildcat Lake for client and edge systems.

AI data centers will increasingly rely on energy storage because of its fast response and grid impact mitigation capabilities, according to Recharge Power, a Taiwan-based battery energy storage system integrator (BESSI) which has seen overseas project revenue gradually bearing fruit. In Taiwan, the energy storage market has also received a major boost following amendments to the Energy Administration Act requiring heavy users to strengthen their electricity self-sufficiency.