PROCESS
How a Project Runs
From Compute Requirement to Operational Infrastructure
HOW WE WORK
From Compute Requirement to Operational Infrastructure
- 01
Planning
We define workload requirements, deployment location, capacity, timeline, and the target architecture together with the customer.
- 02
Construction and Setup
GPU servers, networking, power, cooling, and the surrounding data center environment are procured, installed, and configured.
- 03
Deployment and Validation
The environment is deployed and validated for connectivity, stability, performance, and operational readiness before handover.
- 04
Integration and Management
Systems are integrated into the customer's operations, then monitored, maintained, and continuously optimized over the long term.
WHY Aijie Capital
More Than Computing Capacity
- Integrated Delivery
- One team coordinates infrastructure planning, equipment, deployment, testing, and operations.
- Flexible Architecture
- Solutions are configured according to the customer's workload rather than forcing every customer into the same infrastructure package.
- Enterprise Reliability
- Infrastructure is developed around operational continuity, monitoring, security, and long-term serviceability.
- Expansion Ready
- Customers can begin with an initial deployment and expand capacity as demand grows.
- Technical Partnership
- We work with customers throughout assessment, implementation, validation, and ongoing operation.
- Regional Support
- Local infrastructure and technical coordination provide more direct communication and responsive operational support.
COMMERCIAL MODELS
Five Ways to Engage Our Compute Capacity
- 01
GPU Rental
Monthly or hourly billing for GPU compute capacity.
- 02
Compute Subscription
Enterprise subscription for continuous, reserved compute access.
- 03
AI Infrastructure Setup Fee
One-time build fee for designing and constructing the environment.
- 04
Hosting Fee
Data center hosting for customer-owned or project-dedicated servers.
- 05
Managed Service Fee
Ongoing managed operations of the deployed AI infrastructure.
- Compute platform
- NVIDIA B300 / GB300 GPU compute platform and GPU servers.
- Technical support and SLA
- Defined per project agreement.

