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Apr 7
Rapid deployment and flexible scalability drive the rise of modular data centers
As GPU platforms continue to iterate each year, the buildout of AI infrastructure is accelerating in tandem. For data center operators, cloud service providers, hyperscalers, and large enterprises, the challenge is no longer just building the facility, but rather how to bring computing power online faster while preserving flexibility for future upgrades and expansion.
On March 31, Chinese Premier Li Qiang signed Order No. 834 issued by the State Council, which was officially released on April 7 as the Regulations of the State Council on Industrial Chain and Supply Chain Security (hereinafter referred to as the Regulations). The Ministry of Justice released detailed explanations publicly, and the Regulations took immediate effect upon release.
Broadcom recently announced two major partnership developments. The first is with Google on its Tensor Processing Unit (TPU) application-specific integrated circuits (ASICs), with the collaboration set to extend through 2031. This means that Broadcom will continue to generate related revenue from multiple future generations of Google's TPU products.
A major internal code leak has recently struck Anthropic, with approximately 510,000 lines of core source code from its AI coding tool, Claude Code, being unintentionally exposed and spreading rapidly across developer communities. The incident originated from an npm package publishing error in which source map files were not properly excluded, allowing access to the complete TypeScript code. As a result, nearly 1,900 source files could be reconstructed, effectively revealing unobfuscated, production-level code.
Samsung Electronics's Device eXperience (DX) head Roh Tae-moon personally visited Tokyo on April 1, marking his first trip to Japan this year. Although Apple has long dominated Japan's smartphone market, Samsung has recently seen a resurgence driven by its Galaxy series. Roh's visit signals a strategic push to expand Samsung's market share in Japan.
Since the generative AI (GenAI) boom, Nvidia has leveraged its near-monopoly on AI GPUs to drive explosive profits, with free cash flow reaching US$96.5 billion in fiscal 2026. Coupled with two prior cryptocurrency mining surges in 2017 and 2019, Nvidia's decade-long cash hoard has fueled aggressive acquisitions and investments. Starting with a US$20 billion deal announced in late 2025 to acquire AI chip startup Groq, followed by a recent US$2 billion investment in Marvell, Nvidia is rapidly expanding its moat built on CUDA and GPU technology.
The global AI race is no longer just about who builds the fastest chip. Increasingly, it is about who writes the rules.
Arm recently unveiled its first self-developed AGI CPU, marking a significant milestone as the company shifts from a pure technology IP licensor to a standard CPU supplier competing directly with Advanced Micro Devices (AMD), Ampere, and Intel.
As OpenAI prepares for a potential IPO this year, the company's leadership is undergoing a shake-up. Chief Marketing Officer (CMO) Kate Rouch and OpenAI's head of AGI development, Fidji Simo, are both taking medical leave. The changes come at a pivotal time for the company as it tries to consolidate its operations to boost profitability and contends with a lawsuit by xAI CEO Elon Musk.
Labor shortages in the service sector are more severe than in manufacturing. This, coupled with its largely unstructured environments, makes it a market urgently keen on adopting AI robots. However, current AI robots still face limitations, including insufficient physical data and the ability to perceive real-world environments—key factors determining whether robots can effectively solve on-site problems.

After a slower second half of 2025, marked by elevated customer inventories and a softer ordering pace, high-end cable material provider Wonderful Hi-Tech anticipates a rebound in 2026. According to the company, inventory adjustments are largely concluding in the first quarter, and customer orders and shipments have been steadily picking up since March, setting the stage for a quarter-by-quarter acceleration in revenue. The company aims to surpass its previously stated NT$10 billion (approx. US$313 million) revenue target, with Chairman Ming-Lieh Chang noting that current trends suggest actual results could exceed that benchmark.

Driven by accelerating real-world deployment of edge AI applications across major global markets, industrial PC (IPC) maker Advantech reported March 2026 consolidated revenue of NT$7.7 billion (approx. US$240 million), up 21.75% from NT$6.32 billion a year earlier. For the first three months of 2026, cumulative revenue reached NT$20.39 billion, marking a 17.49% increase from NT$17.35 billion in the same period of 2025.