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Enterprise AI infrastructure requires reproducible, version-controlled infrastructure management through Infrastructure as Code (IaC) principles. Modern deployment architectures combine cloud-native services with intelligent resource allocation.
🏗️ Multi-Cloud AI Infrastructure Architecture
┌─────────────────────────────────────────────────────────────────┐
│ CLOUD INFRASTRUCTURE LAYER │
├─────────────────────────────────────────────────────────────────┤
│ Amazon EKS Cluster │
│ ├── Cluster Name: ai-production-cluster │
│ ├── Kubernetes Version: 1.28 │
│ ├── VPC Configuration │
│ ├── Private Subnets: Multi-AZ deployment │
│ ├── Public Subnets: Load balancer access │
│ ├── Private Access: Enabled for security │
│ └── Public Access: Controlled endpoint access │
│ └── Logging: Comprehensive audit trail │
│ │
│ GPU Node Groups │
│ ├── Instance Types: g4dn.xlarge, g4dn.2xlarge │
│ ├── Capacity: SPOT instances for cost optimization │
│ ├── Scaling: 1-10 nodes based on demand │
│ ├── Update Strategy: 25% max unavailable │
│ └── GPU Taints: Dedicated GPU workload scheduling │
└─────────────────────────────────────────────────────────────────┘
↓
┌─────────────────────────────────────────────────────────────────┐
│ SUPPORTING SERVICES ARCHITECTURE │
├─────────────────────────────────────────────────────────────────┤
│ Application Load Balancer │
│ ├── Type: Application Layer 7 │
│ ├── Security Groups: Controlled access │
│ ├── Multi-AZ: High availability │
│ ├── Access Logs: S3 bucket storage │
│ └── SSL Termination: Certificate management │
│ │
│ Redis Cache Cluster │
│ ├── Node Type: cache.r6g.large │
│ ├── Replication: 3-node cluster │
│ ├── Multi-AZ: Automatic failover │
│ ├── Encryption: At-rest and in-transit │
│ └── Auth Token: Secure access control │
│ │
│ Monitoring & Observability │
│ ├── CloudWatch: Metrics and logging │
│ ├── VPC Flow Logs: Network monitoring │
│ ├── Application Metrics: Performance tracking │
│ └── Alert Management: Proactive monitoring │
└─────────────────────────────────────────────────────────────────┘
The infrastructure architecture implements defense-in-depth security with private subnets for compute resources, controlled public access, and comprehensive encryption. Cost optimization strategies include spot instances for GPU workloads and intelligent auto-scaling based on actual usage patterns.