Developer Lab
Hyper-converged infrastructure with pre-configured environments and unified resource scheduling — from training to edge deployment, all local
What AI Actually Performs
Build a full-process high-efficiency AI development foundation for algorithm R&D, prototype verification and small-batch training
Local Inference
Edge-Side Low-Latency Model Execution.
High-Bandwidth Data Processing
Real-Time AI Data Pipeline.
Cluster Training
Distributed Collaborative Training.
Framework Compatibility
LLM & CV Native Optimization.
Heterogeneous Computing
Multi-GPU & Multi-Architecture Collaboration.
Rapid Deployment
Out-of-the-Box AI Software Stack.

