Intelligent Platform Solution
Building AI computing infrastructure that connects M types of scenarios and models with N types of hardware and chips, with full-stack cloud-edge-end layout forming three core product matrices.
Three Core Product Lines
Full-chain coverage from cloud computing scheduling to edge intelligent deployment
Three-Layer Optimization Architecture
Solving heterogeneous computing compatibility and efficiency through model-system-chip three-layer collaborative optimization
Model Layer Optimization
Model compression, pruning, quantization, sparsification, MoE architecture optimization
System Layer Optimization
Operator optimization, distributed training framework, inference engine, compute scheduling algorithms
Chip Layer Optimization
Custom accelerator design, 3D stacking architecture, heterogeneous die interconnect, instruction set optimization
AI Cloud Technical Architecture
Layered technical architecture supporting full-category chip hybrid training
Application Layer
- Finance & Healthcare
- Smart Manufacturing
- Creative Generation
- Autonomous Driving
- Deep Research
Platform Services
- Model Services
- Agent Framework
- Development Tools
- Security Sandbox
- Elastic Inference
AI-Native Infrastructure
- Elastic Training
- Distributed Inference
- Cross-cluster Management
- RL Framework
- Serverless Container
Heterogeneous Compute Base
- NVIDIA GPU
- AMD GPU
- Compute Accelerators
- XPU Agents
- Storage Agents
Thousand-Card Scale Hybrid Training
World's first thousand-card heterogeneous chip hybrid training platform
97.6% Utilization
Cluster compute utilization up to 97.6%
FlashDecoding++
Self-developed GPU inference 2-4x speed improvement
Full-Category Chip Support
Supports NVIDIA, AMD and multi-vendor chips
Intelligence Platform Technical Architecture
Core technical architecture for the Agent era
Supporting
Large Model ChatBot
Tool-based
Intelligent Agent
Symbiotic
AGI
Cross-Domain Compute Scheduling
Cross-vendor, cross-region compute unified management and scheduling
MaaS Services
Full support for multi-vendor chips, providing standardized model services
Full-Chain Support
From environment setup, tool integration to deployment, evaluation
Swarm Scheduling
Supporting large-scale multi-agent collaboration for complex tasks
Agentic Infra Architecture
Security Sandbox FaaS
Long/Short-term Memory RAG ICL
MCP Function Call
Agent Router Security
Agent Trace
serverless Container Orchestration
Fault-tolerant Training MoE/Hybrid Training
Distributed Inference Auto-scaling
RL Framework Elastic RL Training
Compute Scheduling Cross-domain Inference
Edge Intelligence Technical Architecture
Breaking the "Impossible Triangle" of Smart Terminals: Intelligence Improvement, Energy Reduction, Space Cost Reduction
Multimodal Lightweight Model
World's Leading Multimodal Lightweight Model
Supports image, audio, and text processing, 3B parameters achieving 21B-level intelligence, 300% inference speed advantage over same-precision models.
Model Inference Engine
Sparse Reasoning + Weight Quantization
Self-developed LLM inference engine, deeply optimized for PC/mobile environments, supporting cross-platform multi-backend (CPU/GPU/NPU/iGPU).
AI Inference Chip IP
15x Energy Efficiency Improvement
Self-developed LLM inference LPU IP, supporting text-to-text/image/video multimodal tasks, 3D stacked heterogeneous integration architecture.
Inference Speed Advantage
Memory & Energy Reduction
Energy Efficiency Improvement
Learn More About AI Technical Architecture
Our technical team can provide customized AI computing solutions based on your needs