AI Data Center Integrated Construction Solution
Beta AI DataCenter Turnkey Solution
Turnkey solution from top-level planning to implementation, providing high-performance, localized AI data center solutions.
Background
Traditional IDC cannot meet the new requirements of LLMs for power density, cooling and network topology.
Capability Gap
Local governments and leading enterprises want to build AI data centers but lack overall planning and implementation capabilities.
High Knowledge Update & Maintenance Costs
Enterprise knowledge base content changes frequently, traditional solutions require continuous fine-tuning or retraining models, costs remain high.
Solution Content
Turnkey solution from top-level planning to implementation:
Planning
Evaluate computing scale, power requirements, network architecture and expansion space based on 3-5 year business planning, forming technical blueprint and investment estimation.
Infrastructure
Power supply, cooling and airflow organization schemes for high thermal density cabinets, using liquid cooling or hybrid liquid+air cooling to improve PUE indicators.
Computing Zones
Using proprietary servers as core nodes, pre-configured training/inference/storage clusters, unified resource scheduling and management, achieving 'computing as a service' internal operations.
Localization
Provides full-stack solutions centered on proprietary chips, reducing dependence on foreign GPUs and improving supply chain security.
Key Advantages
Let data speak — let results be visible
Energy Efficiency
Liquid cooling reduces PUE below 1.2
Localization Rate
Full-stack domestic equipment available
Delivery Time
Fast deployment from planning to production
Expansion Plan
Reserved for future computing growth
Technical Capabilities
Deep technical capabilities powering your business
Advanced Cooling
Uses liquid or hybrid cooling supporting high-density cabinets (30-80kW/rack), significantly reducing PUE and operating costs
Smart Resource Scheduling
Unified computing resource pool management with intelligent scheduling for training, inference, and storage scenarios
Secure Architecture
Full-stack solution based on proprietary chips, fully autonomous and controllable from hardware to software
Elastic Scalability
Reserved expansion space based on 3-5 year planning, supporting modular growth for investment protection
Target Industries
This solution is designed for the following industries and use cases
Government
Industrial Campus Management
Research
SOE
Finance
Internet
Implementation Process
Expert-guided implementation ensuring seamless project delivery
Top-level Planning
Business research and computing needs assessment
Solution Design
Complete infrastructure, network, and cooling design
Equipment Procurement
Server, network, and storage equipment delivery
Construction & Deployment
Room renovation, equipment installation and testing
Acceptance & Operations
Performance testing, staff training, and production launch
FAQ
Common questions answered
AI data centers differ fundamentally in power density, network topology, and cooling requirements. Traditional IDC cabinets use 5-8kW, while AI training cabinets reach 30-80kW. Networks must support high-bandwidth, low-latency GPU communication (InfiniBand/RoCE). Cooling requires liquid or hybrid solutions. AI data centers also need unified computing resource scheduling, not just server hosting.
Our localized solutions have been successfully deployed in finance and government sectors. Servers based on Huawei Ascend and Hygon DCU chips achieve near-mainstream performance in specific scenarios (inference, CV tasks) with significant advantages in supply chain security and policy compliance. We provide performance evaluations and hybrid deployment recommendations based on your specific scenarios.
Modern liquid cooling technology (cold plate or immersion) is very mature with lower failure rates than air cooling. While initial investment is higher, reducing electricity costs (PUE from 1.6 to below 1.2 saves 25%+ on power), reducing AC equipment and noise means total TCO can be recovered in 3-5 years. We provide 24/7 operations support.
Typical projects take 6-8 months from planning to production. We recommend phased construction: Phase 1 meets current needs (100-200 cards) with 50% expansion space reserved (room, power, cooling); Phase 2 follows actual usage and business growth. This enables quick business validation while avoiding over-investment. We create a 3-5 year expansion roadmap during planning.
Want to Learn More?
Connect with us for a tailored solution consultation and technical support