優勢 (Advantages)

1. 高效能運算能力
提供 AI、大數據、雲端運算的高速算力支援。
支援企業、研究機構快速完成複雜運算任務。

High-Performance Computing Power
Delivers powerful computing capabilities for AI, big data, and cloud applications.
Enables enterprises and research institutions to process complex tasks efficiently.

2. 數據安全與合規
建立嚴格的數據保護與備份機制。
符合國際標準與在地合規要求。

Data Security and Compliance
Implements robust data protection and backup mechanisms.
Ensures alignment with international standards and local compliance regulations.

3. 靈活的資源配置
支援彈性運算資源分配，降低成本。
根據產業需求，快速調整算力規模。

Flexible Resource Allocation
Provides scalable resource allocation to reduce costs.
Adjusts computing capacity quickly according to industry needs.

4. 產業創新加速器
為 AI、智慧製造、生技醫療、金融科技等領域提供支援。
成為新創與科研機構的重要研發平台。

Industry Innovation Accelerator
Supports fields such as AI, smart manufacturing, biotech, and fintech.
Serves as a critical R&D platform for startups and research institutes.

5. 區域經濟與國際合作推動
帶動產業聚落與數位經濟發展。
促進跨國科研與技術交流合作。

Driving Regional Economy and Global Collaboration
Stimulates industrial clusters and digital economy growth.
Promotes international research and technology collaboration.

趨勢 (Trends)

1. AI 與大模型應用普及
支援生成式 AI、語言模型、圖像辨識等需求。
推動跨產業智慧應用落地。

AI and Large Model Adoption
Supports generative AI, language models, and image recognition.
Accelerates real-world AI adoption across industries.

2. 綠色低碳發展
導入綠能、節能技術，降低碳足跡。
發展可持續運算中心。

Green and Low-Carbon Development
Integrates renewable energy and energy-saving technologies to reduce carbon footprint.
Builds sustainable computing centers.

3. 邊緣運算與混合雲
支援邊緣 AI 與多雲協同運算。
提升即時性與運算效率。

Edge Computing and Hybrid Cloud
Supports edge AI and multi-cloud collaborative computing.
Enhances real-time responsiveness and efficiency.

4. 資安與量子運算結合
強化資安防護，應對複雜威脅。
探索量子運算與傳統算力的結合應用。

Cybersecurity and Quantum Integration
Strengthens cybersecurity defenses against evolving threats.


全球性範例  (Global Examples)

1. 美國 – NVIDIA AI 超級電腦 (NVIDIA DGX SuperPOD)

支援全球最先進的 AI 模型訓練與應用。

被多家企業與科研機構用於自駕車、醫療影像與金融分析。

United States – NVIDIA DGX SuperPOD

Powers cutting-edge AI model training and applications.

Adopted by enterprises and research institutes for autonomous driving, medical imaging, and financial analytics.

2. 中國 – 國家超算中心 (National Supercomputing Centers)

於廣州、無錫、天津等地設立，支持氣候研究、藥物研發與 AI 應用。

天河二號、神威太湖之光等曾位列全球最快超級電腦。

China – National Supercomputing Centers

Located in Guangzhou, Wuxi, Tianjin, supporting climate studies, drug discovery, and AI applications.

Tianhe-2 and Sunway TaihuLight were once ranked among the world’s fastest supercomputers.

3. 歐洲 – 歐洲高效能運算聯盟 (EuroHPC Joint Undertaking)

成立跨國運算平台，提升歐洲數位自主與 AI 能力。

芬蘭的 LUMI 超算是目前歐洲最強大的智算平台之一。

Europe – EuroHPC Joint Undertaking

Builds cross-national computing infrastructure to strengthen Europe’s digital sovereignty and AI capacity.

Finland’s LUMI supercomputer is one of Europe’s most powerful intelligent computing platforms.

4. 日本 – 富岳超級電腦 (Fugaku Supercomputer)

由理化學研究所與富士通合作開發。

廣泛應用於防疫模擬、材料科學、AI 驅動的產業創新。

Japan – Fugaku Supercomputer

Developed by RIKEN and Fujitsu.

Applied in pandemic simulations, materials science, and AI-driven industrial innovation.

5. 中東 – 沙烏地阿拉伯 KAUST 超算中心

專注於能源、氣候、基因研究與 AI 模型。

支援該國數位轉型與智慧城市計劃。

Middle East – KAUST Supercomputing Center, Saudi Arabia

Focused on energy, climate, genomics, and AI model training.

Supports national digital transformation and smart city initiatives.

Explores the integration of quantum computing with traditional computing.

5. 全球數位競合

智算中心成為國家戰略資源。

形成跨國數位競爭與合作新格局。

Global Digital Competition and Collaboration

Intelligent computing centers become strategic national assets.

Reshape international dynamics of digital competition and cooperation.