GPU Computing
Access high-performance GPU resources designed for AI model training, inference, generative AI, scientific computing, rendering, and other compute-intensive workloads.
AI COMPUTE INFRASTRUCTURE
AI Infrastructure, Built for Enterprise Scale
Aijie Capital provides high-performance GPU infrastructure, scalable AI computing capacity, and end-to-end data center solutions for organizations building the next generation of AI.
From model training and inference to dedicated GPU clusters and enterprise deployment, we help customers access reliable computing resources without the complexity of building and operating the infrastructure alone.
Dedicated GPU capacity · Enterprise deployment · Managed operations
KEY CAPABILITIES
Compute That Scales With Your AI Roadmap
Scalable Deployment
Deploy computing resources from individual servers to multi-node GPU clusters based on workload, capacity, and expansion requirements.
Managed Operations
Our team supports infrastructure deployment, monitoring, maintenance, performance optimization, and ongoing operational management.
Data Center Integration
Integrate GPU servers, networking, power, cooling, storage, and security into a complete AI-ready data center environment.
ABOUT Aijie Capital
Bridging AI Ambition and Operational Infrastructure
The rapid development of artificial intelligence is creating unprecedented demand for computing power.
Aijie Capital was established to help enterprises, AI companies, research teams, and technology partners gain access to the infrastructure required to build, deploy, and scale advanced AI applications.
We bring together computing hardware, data center infrastructure, networking, deployment expertise, and operational management in one integrated service.
Our goal is simple: make advanced AI computing capacity more accessible, dependable, and scalable.
OUR SERVICES
End-to-End AI Compute Solutions
01
Dedicated GPU Compute
Dedicated GPU servers and computing capacity for long-term, high-volume, or business-critical AI workloads.
- AI model training
- Large-scale inference
- Generative AI applications
02
GPU Cluster Deployment
Architecture design and deployment of multi-node GPU clusters with high-speed networking, storage integration, workload scheduling, and performance validation.
- Cluster architecture planning
- High-speed network deployment
- Performance testing and expansion planning
03
Server Hosting and Colocation
Secure data center hosting environments designed to support high-density GPU servers and enterprise computing infrastructure.
- Rack, power and cooling allocation
- Physical security and network connectivity
- Remote monitoring and on-site support
04
AI Data Center Development
Planning, deployment, and modernization services for organizations developing or upgrading AI-ready data center capacity.
- Site and capacity assessment
- Power, cooling and rack density planning
- Installation, testing and commissioning
05
Managed Infrastructure Operations
Ongoing operational support for AI servers, GPU clusters, network infrastructure, and data center environments.
- 24/7 infrastructure monitoring
- Preventive maintenance and incident response
- Performance optimization and reporting
06
Customized Enterprise Solutions
Flexible infrastructure solutions developed around each customer's workload, deployment location, security requirements, budget, and growth plan.
- Private AI clusters
- Hybrid deployment models
- Long-term capacity reservation
AI-READY INFRASTRUCTURE
Engineered for Performance, Reliability, and Scale
AI workloads require more than powerful processors. They depend on an integrated environment where computing, power, cooling, storage, networking, and operations work together.
Aijie Capital designs its infrastructure around the requirements of high-performance and high-density computing.
COMPUTE OPTIONS
Infrastructure for Current and Future AI Workloads
- NVIDIA H10001
- NVIDIA H20002
- NVIDIA B20003
- NVIDIA B30004
- NVIDIA GB20005
- NVIDIA GB30006
Custom CPU and GPU configurations
Specific hardware availability, configuration, delivery time, and service location are subject to project assessment and confirmation.
WHO WE SERVE
Compute Infrastructure for Different Stages of AI Growth
AI Companies
Scalable GPU resources for model development, training, fine-tuning, inference, and production deployment.
Enterprises
Private or dedicated AI infrastructure for enterprise AI applications, internal models, automation, and data processing.
Cloud and Technology Providers
Infrastructure capacity that can be integrated into cloud computing, platform, software, or managed service offerings.
Research Institutions
High-performance computing environments for scientific research, simulation, engineering, and advanced data analysis.
Digital Media and Creative Production
GPU infrastructure for rendering, virtual production, animation, visual effects, and generative content workflows.
Infrastructure Partners
Data center owners, energy partners, hardware suppliers, and regional operators seeking to develop AI-ready capacity.
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.
HOW WE WORK
From Compute Requirement to Operational Infrastructure
- 01
Requirement Assessment
We evaluate workload type, GPU requirements, expected utilization, deployment timeline, security needs, and future expansion.
- 02
Solution Design
Our team develops the recommended server, cluster, networking, storage, power, cooling, and operational architecture.
- 03
Commercial Proposal
The customer receives a proposed scope, deployment model, estimated schedule, and commercial structure.
- 04
Deployment
Equipment procurement, logistics, rack installation, cabling, configuration, integration, and testing are coordinated.
- 05
Validation
The environment undergoes connectivity, stability, performance, workload, and operational readiness testing.
- 06
Managed Operation
After launch, we provide monitoring, maintenance, technical support, optimization, and capacity planning according to the service agreement.
FLEXIBLE ENGAGEMENT
Choose the Infrastructure Model That Fits Your Business
GPU Compute Rental
Access GPU computing capacity without purchasing and operating the complete infrastructure.
Dedicated Server Deployment
Deploy dedicated servers reserved for the customer's workloads.
Private GPU Cluster
Build a private computing environment for enterprise or institutional applications.
Data Center Hosting
Place customer-owned servers within an AI-ready data center environment.
Infrastructure Development
Design and deliver a new AI data center or upgrade an existing facility.
Managed Operations
Entrust infrastructure monitoring, maintenance, and operational management to our technical team.
FAQ
Frequently Asked Questions
BUILD YOUR AI INFRASTRUCTURE
Start With the Right Compute Foundation
Whether you need dedicated GPU capacity, a private AI cluster, server hosting, or a complete data center solution, our team can help you evaluate the appropriate infrastructure model.
- tb@aijiecapital.com
- Location
- 3F.-1, No. 42, Sec. 1, Minsheng E. Rd., Zhongshan Dist., Taipei City, Taiwan