One-stop AI platform to accelerate enterprise adoption at a lower cost.
Benefits
Overview
Features
Best Practices
Benefits
Lower Costs, Easier Selection
Deploy anywhere. Open, flexible, and easy to integrate
Model selection advice and a testing mechanism to reduce the testing cost
Resource reuse and on-demand deployment, launch faster, and boost ROI
Scenario-Driven. Deliver Tangible Value
All-in-one solution from efficiency gains to business enablement
Streamlined Deployment & Delivery
End-to-end delivery to accelerate model launch
Automated optimization for faster Inference
Unified visual platform to simplify operations
Solid Foundation & Reliable AI Operation
High-performance architecture for concurrent multimodel and multi-workload operations
Integrated container, virtualization, and security technologies for stability and protection
Resource isolation and sharing to boost collaboration and utilization
Overview
SmartX AI Infrastructure Solution integrates AI platforms with enterprise-grade infrastructure to deliver a unified foundation for model management, inference, and resource scheduling. With native integration of SmartX ECP, it offers hybrid scheduling, distributed storage, security, and observability—empowering efficient AI deployment and operations. Designed around real-world business needs, it enables scalable AI adoption from internal optimization to business innovation.
Features
Multi-Scenario Deployment Flexibility
Supports diverse infrastructure environments – compatible with mainstream OS and Kubernetes clusters. Adapts from R&D testing to lightweight edge deployment (for mid/small models) and data center deployment (for large models).
Business enablement: Medical triage, intelligent investment research
Enterprise-Grade AI Infrastructure
Deeply integrates AI platform with SmartX ECP, delivering a unified VM/Kubernetes infrastructure for hybrid AI workloads supporting model training, fine-tuning, and inference.
High-performance block & file storage for all AI data lifecycle stages
Secure data sharing from raw data → labeled data → model registry → vector database
Ensuring highly available, intelligent production environments
Best Practices
Case Study
E-commerce Industry
Enterprise AI Deployment Scenario
A leading e-commerce solutions provider required unified orchestration for model training, fine-tuning, and inference in high-concurrency scenarios. By deploying our lightweight AI infrastructure solution, they established a private hybrid environment supporting both VM and Kubernetes workloads, covering all the workflows demanded.
Key Outcomes vs. Public Cloud:
Lower operational complexity and overall costs.
Higher AI application environment stability, efficiency, and controllability.
Stronger foundation for efficient and secure intelligent platforms.
The solution now supports intelligent capabilities for consumer/seller/cross-border e-commerce systems.
Case Study
Manufacturing Industry
Private AI Inference & Knowledge Base Integration
A global manufacturer rapidly deployed a private AI infrastructure using the SmartX AI solution. Key implementations include DeepSeek model inference on SmartX Kubernetes cluster, and seamless knowledge base integration via standardized APIs. The intelligent needs in enterprise-level knowledge management are fulfilled.
Key Outcomes:
The entire solution was validated at minimal cost.
While ensuring stable business operations, the platform achieved hybrid deployment of AI applications alongside legacy systems, significantly improving overall resource utilization.
This enables enterprises to build high-performance, controllable, and secure AI infrastructure.
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