AI System Core Architecture Diagram
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This template is suitable for the core architecture design of AI systems. It shows the composition of each module of the system (such as data layer, model layer, service layer and application layer) through a layered structure, which helps to clearly understand the relationship between the system structure and modules.
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AI technology stack
monitoring alarm
data processing flow
TensorRT + ONNX Runtime
storage and computing
Front-end technology stack
of interpretability
front end layer
API access controldata encryption transmissionModel anti-attackaudit log
infrastructure
output generation module
Business Logic and Processing
PyTorch/TensorFlowHugging Face model libraryLangChain FrameworkVector Database (Chroma)
Cloud deployment + edge computing
data input module
model type
Production environment deployment plan
Model selection and deployment
Multimodal data reception (text/image/audio)Data cleaning and pretreatmentformat standardizationquality verification
Deployment and operation and maintenance
reasoning framework
Web Front-End Framework (React/Vue)Mobile apps (Android/iOS)API interface callreal-time data visualization
back-end layer
optimization strategy
Attention visualizationFeature importance analysisDecision process tracingconfidence assessment
AI system core architecture level
System Architecture Overview
React 18 + TypeScriptAnt Design component libraryWebSocket real-time communicationEharts Data Visualization
Cloud Virtual Machine ClusterGPU compute nodeLoad BalancerCDN acceleration
Model inference engine
Technology Stack and Development
Structured result generationnatural language outputvisual chartAPI response encapsulation
Deep learning model loadingGPU/CPU inference accelerationbatch optimizationPost-processing of results
Spring Boot microservicesPython FastAPIDocker containerizationKubernetes orchestration
system implementation
User interface and interaction
AI model architecture
Big language model + computer vision model
Front-end interaction layer| Back-end service layer| Data and Model Layer
deployment methods
safety protection
model quantificationknowledge distillationpruning compressioncaching mechanism
Relational Database (MySQL)vector databaseCache System (Redis)object storage
model Management
version controlA/B testingperformance monitoringautomatically updated
Back-end technology stack
microservices architectureAPI Gatewaytask dispatching managementModel Reasoning Services
data layer
Performance indicator monitoringModel accuracy trackingResource utilization alarmanomaly detection
The whole process of input → processing → output
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