AI Hardware and Chips Archives | Page 4 of 6 | Small Island Research Notes

Has the Market Misread the Story? Google and NVIDIA Are Not Rivals but Accelerators for Each Other

Jane2025-12-02T15:25:18+08:00December 2nd, 2025|Categories: Featured Notes, Global Business Dynamics, Strategic Tech and Market Signals|Tags: AI Hardware and Chips, AI Strategy and Ecosystem, Google, Market Sentiment and Reflexivity, Narrative and Trust, NVIDIA, Platform and Business Model|

Executive Summary In recent weeks, market attention has focused on Google’s Gemini 3 and the decision to make TPU available to external users, widely interpreted as a counterattack against NVIDIA. However, the breakthroughs of Gemini 3, the evolution of TPU technology, and Google’s sales strategy are three separate narratives rather than a single causal chain. The real story lies in how Google and NVIDIA, through competition, are propelling each other forward and collaboratively reshaping the

Tech Narrative Weekly #1 (Nov 2025, Week 4): Optimism Returns, but Friction Remains

Jane2026-02-24T17:03:26+08:00December 1st, 2025|Categories: Tech Narrative Weekly|Tags: AI Hardware and Chips, AI Strategy and Ecosystem, Google, Market Sentiment and Reflexivity, Microsoft, Narrative and Trust, NVIDIA, Platform and Business Model, Policy and Tariffs|

Key Events of the Week: What Happened Last week, U.S. tech stocks rebounded noticeably. With growing expectations of a possible Fed rate cut, funding costs declined and risk appetite returned, bringing market attention back to the story of AI-driven growth. Yet beneath this surface of optimism, a new kind of anxiety has begun to emerge. Increasingly, analysts are pointing to power constraints in data centers, grid delays, and energy bottlenecks. The phrase “energy as the

Why the AI Bubble May Take Longer to Burst: The Energy Narrative Is Quietly Taking the Lead

Jane2026-03-12T20:46:55+08:00November 20th, 2025|Categories: Featured Notes, Global Business Dynamics, Strategic Tech and Market Signals|Tags: AI Hardware and Chips, AI Strategy and Ecosystem, Market Sentiment and Reflexivity, Microsoft, Narrative and Trust, NVIDIA, OpenAI, Platform and Business Model, Supply Chain and Manufacturing|

Executive Summary This article presents a central argument. The AI cycle is being rewritten, and the shift is not driven by technical breakthroughs. It is being shaped by the rise of an energy-based language and a new form of governance. Microsoft CEO Satya Nadella framed AI efficiency as the number of useful tokens produced per gigawatt. This reframes performance from a discussion about GPU cost to one about energy. NVIDIA reinforced this shift through the

The Collective Belief Experiment Behind the OpenAI Boom

Jane2025-11-06T16:52:57+08:00November 6th, 2025|Categories: Global Business Dynamics, Strategic Tech and Market Signals|Tags: AI Hardware and Chips, AI Strategy and Ecosystem, Amazon and AWS, AMD, Broadcom, CoreWeave, Market Sentiment and Reflexivity, Microsoft, Narrative and Trust, NVIDIA, OpenAI, Oracle, Platform and Business Model, Supply Chain and Manufacturing|

Executive Summary Each collaboration OpenAI undertakes is more than a business transaction. It has become a focal point for global capital and industrial belief. Although the company has yet to establish a stable business model, it has already reshaped the rhythm of the global technology supply chain. This article argues that OpenAI is transforming industrial reality through reflexivity. Corporations and investors believe it can define the future, and that very belief is actively shaping the

When Qualcomm Redefines “Inference”: A Shift from Chip Specifications to System Architecture

Jane2025-10-28T21:29:14+08:00October 28th, 2025|Categories: Global Business Dynamics, Strategic Tech and Market Signals|Tags: AI Hardware and Chips, AI Strategy and Ecosystem, NVIDIA, Platform and Business Model, Qualcomm, Supply Chain and Manufacturing|

Executive Summary Qualcomm is once again entering the AI chip arena, but the Cloud AI 200 and AI 250 are not simple upgrades to its previous inference cards. They mark a deeper transformation in architectural language. At the core of this shift is Disaggregated Inferencing, a design approach that separates the inference process into two parts: the Prefill stage and the Decode stage. Each module is optimized for different bottlenecks in capacity and bandwidth, redefining

Rubin Is Not Just a GPU Upgrade: NVIDIA Is Rewriting the Value Chain

Jane2026-02-02T12:21:08+08:00October 16th, 2025|Categories: Global Business Dynamics, Strategic Tech and Market Signals|Tags: AI Hardware and Chips, AI Strategy and Ecosystem, Dell, Foxconn, HPE, Lenovo, NVIDIA, Platform and Business Model, Quanta, Supply Chain and Manufacturing, Wistron|

Executive Summary NVIDIA’s Rubin platform may look like a routine GPU upgrade, but its impact extends far beyond chip performance. By redesigning the internal architecture of AI servers, with a larger motherboard, liquid cooling as a core feature, and a modular dual-layer PCBA, Rubin fundamentally reshapes the value distribution within the supply chain. PCB and materials suppliers gain new momentum from increased complexity and higher technical requirements. Liquid cooling vendors and metal processing partners become

Why OpenAI Is Choosing Complexity: The Governance Bet Behind Its Multi-Architecture Strategy

Jane2025-10-14T16:04:26+08:00October 14th, 2025|Categories: Featured Notes, Global Business Dynamics, Strategic Tech and Market Signals|Tags: AI Hardware and Chips, AI Strategy and Ecosystem, AMD, Broadcom, Market Sentiment and Reflexivity, Microsoft, NVIDIA, OpenAI, Platform and Business Model|

Executive Summary OpenAI is conducting an unprecedented experiment in governance. Within just two weeks, it announced partnerships with AMD to build a second GPU architecture and with Broadcom to develop custom ASICs, moving from diversifying dependencies to redesigning the very foundations of its computing power. It has deliberately turned complexity into a governance strategy. By maintaining three architectures, including CUDA, ROCm, and ASICs, OpenAI accepts higher integration costs in exchange for the ability to create

AI and the Memory Cycle: Volatility Delayed

Jane2026-02-02T12:20:07+08:00October 7th, 2025|Categories: Featured Notes, Global Business Dynamics, Strategic Tech and Market Signals|Tags: AI Hardware and Chips, AI Strategy and Ecosystem, Market Sentiment and Reflexivity, Micron, Narrative and Trust, NVIDIA, Platform and Business Model, Samsung, SK hynix|

Executive Summary AI is increasingly viewed as a structural driver for the memory industry, particularly high-bandwidth memory (HBM), which is deeply tied to GPU platforms and appears capable of breaking free from past cyclical patterns. Yet even as major memory makers emphasize structural demand, they continue to pursue typical cyclical expansions. Reflexive risks are quietly building in the gap between market belief and corporate action. NVIDIA governs the supply chain through standard-setting and phased certification.

What Jensen Huang’s “Even Free Chips Can’t Beat NVIDIA” Really Means

Jane2025-09-30T16:52:26+08:00September 30th, 2025|Categories: Featured Notes, Global Business Dynamics, Strategic Tech and Market Signals|Tags: AI Hardware and Chips, AI Strategy and Ecosystem, Amazon and AWS, Broadcom, Google, Graphcore, Market Sentiment and Reflexivity, Microsoft, Narrative and Trust, NVIDIA, Platform and Business Model|

Executive Summary Jensen Huang’s “even free chips” remark is not simply about price. It is a deliberate attempt to reset the rules of competition. By shifting the focus from chip cost to power-constrained economics, total cost of ownership, and revenue per watt, NVIDIA positions itself as the designer of AI factories rather than a commodity supplier. In this framing, ASICs are relegated to the role of secondary components, their best prospects limited to niches or

NVIDIA’s AI Narrative: When Supply Chain Signals Meet Market Headlines

Jane2026-01-25T11:43:38+08:00September 25th, 2025|Categories: Featured Notes, Global Business Dynamics|Tags: AI Hardware and Chips, AI Strategy and Ecosystem, Market Sentiment and Reflexivity, Narrative and Trust, NVIDIA|

Executive Summary This article examines how NVIDIA’s AI narrative has evolved at the intersection of industry signals and financial headlines. From 2023 to 2025, industry discussions emphasized supply chain bottlenecks, product cycles, and efficiency challenges, while financial markets often condensed these complexities into bold phrases such as “AI era begins” or “efficiency war.” The timeline reveals three key crossovers: 2023 — Industry flagged GPU shortages before markets amplified the story into explosive growth. 2024 —