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2026/7/20
As demand for AI model training continues to surge, GPU computing power is evolving from a technology resource into a standardized, tradable asset, paving the way for the emergence of GPU compute futures. This article explains how GPU compute futures work, their role in hedging and risk management, and the value they bring to the market. It also explores how AI developers, data center operators, and financial institutions can use futures contracts to manage fluctuations in compute pricing, while highlighting the latest initiatives from exchanges such as CME Group and Intercontinental Exchange (ICE). Discover how the financialization of computing power is shaping the next frontier of the AI economy.
# Stocks
# Futures
# USA
# Trading
2026/7/16
Apple's decision to raise prices for products including Macs and iPads reflects more than just a pricing strategy—it highlights the growing cost pressures created by the global imbalance between memory supply and demand. This article examines the key drivers behind the sharp increase in DRAM and NAND prices, including AI-driven demand for HBM and enterprise SSDs, the concentrated supply among the three leading memory manufacturers, the rapid rise of Chinese memory makers, and Apple's strategic evaluation of Chinese suppliers. It also explores how developments in the memory industry are reshaping the consumer electronics market and the future competitive landscape of the global supply chain.
# Manufacturing Industry
2026/7/14
ASML is the world's only company capable of mass-producing EUV lithography systems, making it the global leader in semiconductor manufacturing equipment and a key indicator of worldwide semiconductor capital spending and AI industry trends. This article explores ASML's position in the semiconductor industry, the differences between EUV and DUV technologies, and how demand for its equipment reflects capacity expansion in advanced process nodes and HBM. It also analyzes the company's latest financial performance, equipment orders, key takeaways from its earnings call, and the impact of AI, export controls, and global foundry investment on its future business outlook and the semiconductor industry cycle.
2026/7/8
An antitrust lawsuit against Samsung, SK hynix, and Micron has been accepted, alleging that the three leading memory manufacturers shifted production capacity from conventional DRAM to higher-margin HBM in response to booming AI demand. The plaintiffs claim this strategy has contributed to a roughly 700% increase in DRAM prices over the past four years. This article examines the key issues surrounding the lawsuit, explains how HBM capacity expansion is affecting memory supply and demand, and explores the oligopolistic structure of the DRAM market, the drivers behind soaring memory prices, and the potential implications for the memory industry and the broader AI supply chain.
2026/6/24
Rapid growth in AI server demand is driving the passive components industry beyond its traditional inventory cycle and into a phase of structural growth. On the supply side, capacity expansion for high-end products remains limited, while longer lead times and ongoing price increases continue to emerge, pushing the industry firmly into a seller's market. This article examines how AI servers are reshaping the supply-demand dynamics of the passive components industry and explores the opportunities for Taiwanese companies such as Yageo and Holy Stone Enterprise.
2026/6/17
As demand for AI servers continues to surge, passive components have evolved from supporting components into a key area of market focus. From MLCCs and resistors to power inductors, these fundamental electronic components play a critical role in ensuring the stable operation of AI servers, GPUs, and high-speed data transmission systems. This article explores the major categories of passive components, their functions, and industry trends, while examining how the AI boom is creating opportunities for specification upgrades and long-term structural growth across the passive components industry.
# Editor's Pick
2026/6/9
As AI models continue to grow in scale, the competitive focus of data centers is shifting from GPU computing power to high-speed connectivity. At Computex 2026, Marvell highlighted that AI infrastructure is gradually entering the era of the “connectivity bottleneck,” where technologies such as optical interconnects, Co-Packaged Optics (CPO), silicon photonics, and high-speed SerDes will become critical enablers of future growth. This article summarizes Marvell’s perspective on the evolution of AI data center architectures and how optical connectivity is expected to drive the next wave of AI infrastructure innovation.
2026/6/2
NVIDIA GTC 2026 showcased a pivotal transition in the AI industry from Generative AI to Agentic AI. From the Vera Rubin platform and DSX AI Factory to the Agent Toolkit and Physical AI ecosystem, NVIDIA is accelerating the development of a comprehensive AI infrastructure spanning data centers, enterprise applications, personal computers, and robotics, offering a glimpse into the next wave of growth in AI computing and the semiconductor industry.
# Taiwan
This article summarizes the key takeaways from the Technology Symposium, analyzes future trends in advanced process technologies, packaging innovations (CoWoS, SoIC, and SoW), and the AI supply chain, and explores the long-term growth drivers of the semiconductor industry. TSMC continues to drive improvements in AI chip performance and innovation in system integration.
2026/5/7
As a core driver behind the RISC-V instruction set, SiFive is rapidly emerging in the AI and data center markets, supported by its open architecture and high degree of customization. This article examines its business model and product strategy, highlighting its positioning in high-performance computing, edge AI, and automotive markets. It also explores the strategic rationale behind NVIDIA’s investment, including efforts to diversify beyond Arm and strengthen AI infrastructure integration. As the RISC-V ecosystem continues to expand, SiFive is increasingly becoming a critical player in the post-Arm era.
# Investment Analysis
# Fundamental Analysis
# Technical Analysis
# Chip Analysis
