Infrastructure
Hosting, deployment, and architecture for AI systems. Self-hosting, cloud deployment, and operational patterns.
Infrastructure for AI systems covers everything from local homelab setups to cloud-scale deployments. This section focuses on practical patterns for running AI workloads reliably and securely.
Topics
Self-Hosting
- Local LLM deployment
- Docker-based AI stacks
- Homelab configurations
- Hardware requirements and optimization
Deployment Patterns
- Container orchestration (Kubernetes, Docker Compose)
- VPS and cloud deployment strategies
- Edge deployment for AI workloads
- Scaling patterns for inference
Architecture
- Gateway patterns for AI APIs
- Tool use and function calling infrastructure
- Event-driven AI systems
- Deterministic routing for agents
Operations
- Monitoring AI systems
- Backup and recovery
- Performance optimization
- Cost management