GPU Infrastructure
Services
Comprehensive computing solutions designed to support the complete lifecycle of your AI projects, from initial development through production deployment.
Dedicated GPU Clusters
Reserve dedicated NVIDIA H200 GPU clusters for your organization with guaranteed capacity and predictable performance.
- Exclusive access to allocated resources
- Custom cluster configurations
- Guaranteed compute availability
- Direct hardware assignment
- Long-term capacity planning
On-Demand Compute
Access GPU resources when you need them with flexible allocation that scales with your project requirements.
- Pay-as-you-go pricing model
- Rapid provisioning and deployment
- Elastic scaling capabilities
- No long-term commitments required
- Ideal for variable workloads
AI Training Infrastructure
Purpose-built infrastructure optimized for training large-scale machine learning and deep learning models.
- High-bandwidth GPU interconnects
- Distributed training support
- Large-scale dataset handling
- Checkpoint and model management
- Training job orchestration
Inference Deployment
Deploy your trained models for production inference with optimized latency and throughput characteristics.
- Low-latency inference endpoints
- Auto-scaling based on demand
- Model versioning and rollback
- A/B testing capabilities
- Production monitoring and logging
Data Management
Secure and efficient data storage solutions integrated with your compute infrastructure for seamless AI workflows.
- High-performance storage systems
- Data encryption at rest and in transit
- Efficient data transfer protocols
- Dataset versioning and lineage
- Compliance-ready data handling
Managed Services
End-to-end infrastructure management so your team can focus entirely on AI development and research.
- 24/7 infrastructure monitoring
- Proactive maintenance and updates
- Dedicated technical account manager
- Custom SLA agreements
- Regular performance reviews
Infrastructure Specifications
Our Taiwan datacenter provides enterprise-grade infrastructure designed to meet the demands of modern AI workloads.
GPU Hardware
Facility Details
Supported Use Cases
Our infrastructure supports a wide range of AI and machine learning applications across various industries and research domains.
Large Language Models
Training and fine-tuning LLMs at scale
Computer Vision
Image and video analysis systems
Generative AI
Content generation and creative AI
Scientific Computing
Research and simulation workloads
Recommendation Systems
Personalization and ranking models
Speech & Audio
Voice recognition and synthesis
Drug Discovery
Molecular modeling and analysis
Autonomous Systems
Robotics and self-driving technology
Ready to Get Started?
Contact our team to discuss your requirements and learn how our infrastructure can support your AI initiatives.