Author name: pr@twcloud.ai

Taiwan AI Cloud Secures NT$250 Million Capital Injection, Assembles Industry Alliance to Accelerate Sovereign AI Infrastructure

Taizhiyun has completed a capital increase of 250 million yuan to strengthen shareholder and resource integration, focus on sovereign AI and full-stack AI infrastructure, and expand into the global market.

Taiwan AI Cloud Secures NT$250 Million Capital Injection, Assembles Industry Alliance to Accelerate Sovereign AI Infrastructure 閱讀全文 »

ASUS leads the way in AI City whole-city deployment, outlining a new blueprint for smart cities.

The "2026 Smart City Expo & Net Zero City Expo" was launched today (17th). ASUS Group, with "AI City" as its core strategy, brought together various smart city, smart transportation, smart healthcare, smart security and sustainable governance solutions. Through the five-layer "AI City Architecture" - from sovereign computing power, sovereign model, platform, application to innovation layer, combined with the industrial ecosystem, it fully outlined the blueprint for a sustainable and expandable AI city.

ASUS leads the way in AI City whole-city deployment, outlining a new blueprint for smart cities. 閱讀全文 »

2026 Smart City Expo | AI CITY: Envisioning the Future City

Past smart cities focused on data collection and system integration, enabling cities to perceive information. Now, with the introduction of AI technology, cities have evolved to possess predictive and decision-making capabilities, proactively optimizing public governance in areas such as transportation, energy, and healthcare. Alongside this technological upgrade, the importance of "sovereign AI" is particularly emphasized, highlighting that cities must control their own data, computing power, and model governance to ensure security, privacy, and policy autonomy. Ultimately, through collaboration between the Taiwan Smart City Industry Alliance and leading technology companies, Taiwan's AI industry chain strength, from computing power infrastructure to city-wide solutions, is showcased, viewing AI as a core infrastructure for strengthening national competitiveness and urban resilience.

2026 Smart City Expo | AI CITY: Envisioning the Future City 閱讀全文 »

The 2026 Smart City Expo & Net Zero City Expo – "AI CITY Pavilion" Grand Opening

Taizhi Cloud cordially invites you to the AI CITY Pavilion at the 2026 Smart City Exhibition. This is not just an exhibition, but also a global first-ever preview of the future based on a "city-level sovereign AI architecture." From sovereign computing power and model manufacturing to urban applications, we will fully demonstrate how AI can truly empower urban governance and industrial transformation.

The 2026 Smart City Expo & Net Zero City Expo – "AI CITY Pavilion" Grand Opening 閱讀全文 »

Transforming AI from "Memorizing Questions" to "Solving Problems": Insights from Anti-Money Laundering (AML) Practice on Fine-Tuning

Through an Anti-Money Laundering (AML) case study, this article demonstrates how Taiwan AI Cloud has evolved AI from rote memorization of answers into experts with logical reasoning abilities. The article documents the process from LoRA validation and model distillation to optimization using the CoT (Copy of Thought) and GRPO relative reward modeling, emphasizing that a good model is not formed through a single training iteration, but rather relies on a rigorous pipeline for continuous "management" and evolution. This engineering philosophy proves that only by establishing visible and automated processes can AI be transformed into stable and reliable digital assets in demanding regulatory environments.

Transforming AI from "Memorizing Questions" to "Solving Problems": Insights from Anti-Money Laundering (AML) Practice on Fine-Tuning 閱讀全文 »

From understanding language to thinking: Deconstructing the three major milestones in the evolution of AI models

The evolution of AI can be broken down into three milestones: LLM, which excels at pure text translation; MLLM, which possesses visual perception capabilities; and Reasoning Model, which can deconstruct complex logic and self-correct. The latest technology is not necessarily the best solution. Enterprises should precisely allocate their resources according to the "nature of the task," moving from "understanding language" to "being able to think," in order to truly enable AI transformation to take root and flourish.

From understanding language to thinking: Deconstructing the three major milestones in the evolution of AI models 閱讀全文 »

Transforming LLM from "Broad Knowledge" to "Specialized Expertise": A Practical Guide to AI Transformation on the Enterprise Map

Taiwan AI Cloud transforms general-purpose LLM models into "sovereign AI" with professional productivity through a rigorous "fine-tuning pipeline." The article likens fine-tuning to specialist training: first, CPs supplement domain knowledge; then, SFTs teach task behaviors; and finally, CoT thinking chains ensure transparent and auditable decision-making. This engineering philosophy emphasizes that "good models are managed," and only by mastering standardized processes can enterprises achieve a balance between technology, security, and efficiency, building truly robust and trustworthy digital assets.

Transforming LLM from "Broad Knowledge" to "Specialized Expertise": A Practical Guide to AI Transformation on the Enterprise Map 閱讀全文 »

From "Sovereign AI" to "AI City": Building a New Paradigm for Digital Governance by 2026

2026 marks the beginning of Taiwan AI Cloud's "Computing Power Connection Governance" era. As enterprises shift from model training to inference applications and agentic AI, Taiwan AI Cloud is building a digital ecosystem through a "3+1 strategy," translating sovereign AI into a practical force for solving urban pain points. Building on its return to profitability in 2025, Taiwan AI Cloud has initiated its IPO and plans to list on the Emerging Stock Market in May. Its goal is to achieve over 50% overseas revenue by 2028, exporting Taiwan's AI governance experience to Vietnam, Japan, and the Middle East markets.

From "Sovereign AI" to "AI City": Building a New Paradigm for Digital Governance by 2026 閱讀全文 »

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