Large Model Maas Platform
2 Report
This architecture diagram comprehensively demonstrates the complete technical architecture of an enterprise-grade large-scale model MaaS (Model as a Service) platform. It covers the model training and fine-tuning layer, the model management and service layer, the computing power and resource scheduling layer, and the security governance and operation and maintenance monitoring system, clearly showing the collaborative relationships and data flow paths between each module. Through layered decoupling and service-oriented design, the platform can support multi-model access, elastic scaling, and high-concurrency calls, meeting the stability, security, and scalability requirements of enterprise-level applications.
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Evaluation Testing
Data Annotation
Model Fine-tuning
Application Publishing
Workflow Orchestration
Third-party Model
Agent Orchestration
Open Source Model Library
RAG Retrieval Augmentation
Fine-tuned Model
Knowledge Base Management
Speech Model
Prompt Engineering
Image Generation Model
Conversation Management
Reranking Model
Embedding Model
Multimodal Model
Domain-specific Model
General Large Language Model
User Center
Training Engine
Inference Engine
Vector Service
Model Service
Core Service Layer
Alert Notification
Disaster Recovery & Backup
Data Analysis
Monitoring & Operations
API Management
Security Protection
Content Moderation
Container Platform
Network Resources
Storage Resources
GPU Computing Power
Infrastructure Layer
Load Balancing
Service Registration
Configuration Center
Object Storage
Data Storage
Cache Service
Message Queue
Monitoring & Alerting
Access Control
Billing Center
Research Project Flowchart
User access layer
Model Layer
Web Portal
API Gateway
Mobile App
Distributed Lock
Task Scheduling
SDK Integration
Log Service
Developer Console
Third-party Integration
Application Service Layer
Container Orchestration
Rate Limiting
Circuit Breaking
Auto Scaling
Trace Monitoring
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