AI DataCenter
Purpose-Built Infrastructure for AI Training and Inference. A globally distributed, high-performance, and energy-efficient AI infrastructure tailored for next-generation computing.
Key Challenges in Building AIDC
Operating a high-performance AI data center involves overcoming several infrastructure and sustainability challenges:
Power Supply Design and Constraints
AI workloads demand substantial power, often exceeding grid capacities, leading to delays in securing adequate energy sources.
Cooling Infrastructure Limitations
Traditional cooling systems may be insufficient for high-density AI hardware, necessitating advanced solutions like liquid cooling.
Software Ecosystem Fragmentation
The AI software landscape is fragmented, with numerous tools and frameworks that may not seamlessly integrate, complicating development and maintenance efforts.
Sustainability Goals vs. Operational Demands
Balancing the high energy demands of AI operations with sustainability commitments poses a significant challenge.
AIaaS
Artificial Intelligence as a Service (AIaaS) Unlocks a New Era of Innovation
Core Concept
AIaaS is a cloud-based service that provides instant access to AI tools and platforms, eliminating the need for businesses to build their own infrastructure.
High Scalability
Easily integrates into businesses of all sizes with flexible AI deployment options.
Focus on Core Business
Businesses can concentrate on their core offerings while leveraging AI as a driver of innovation and efficiency.
Ready-to-Use AI Features
Includes natural language processing (NLP), computer vision, machine learning model training, and predictive analytics.
Flexible Pricing Model
Pay-as-you-go model reduces initial investment costs.
Accelerated AI Adoption
Shortens development cycles, automates processes, and enables rapid data-driven insights.
Key Advantages
Accelerated adoption and innovation in tech and development workflows.
Accelerates AI-adoptive changes and resolves and generalizes datasets.
Enables a tight integration with intelligent data-driven model searches.
Enhances decision-making and customer engagement through model experience.
Cross Region AI Hub
Global Presence, Local Advantage
Strategically located across Taiwan, Japan, and Indonesia for low-latency deployment and seamless global AI scaling
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Taiwan
Chief Telecom (Taipei)
- NVIDIA GB200 clusters with liquid cooling
- Optimized power delivery for high-demand AI workloads
- Open for test pilots and validation use cases
- Direct access to international network backbones
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Japan
OSA2 Data Center (Kansai Region)
- 5,736 m² server room space with 873 cabinet capacity
- High-bandwidth fiber with NTT, KDDI, SoftBank
- Fully redundant power, cooling, and communication
- Ideal for disaster recovery and compliance
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Indonesia
Reserved for Future Expansion
- Strategic location for Southeast Asia coverage
- Planned advanced infrastructure deployment
- Local compliance and data sovereignty
- Regional redundancy and disaster recovery
Scalable & Centralized
Global GPU Resale
Global Availability, Local Access
Deploy computing resources close to your users — anytime, anywhere.
Unified Login, Seamless Experience
One account, full access across the global platform for a simplified user journey.
Centralized Resource Management
Unify control over multi-site infrastructure and resources to maximize efficiency.
Modular Platform Integration
Easily connect existing systems and cloud services with flexible architecture.
Cross-Region Scaling
Enable multi-region collaboration and traffic balancing for high availability.
Hardware + Software Synergy
Deliver a consistent computing environment that enhances performance and reduces maintenance overhead.