Full-Stack AI Systems Platform Goals End-to-end AI platform: inference, RAG, agents, apps. Production-grade infra: Kubernetes, GPUs, observability, CI/CD. Modular “platform slices” that can be reused across projects. High-Level Components Services: core AI workloads (LLM inference, RAG, agents). Infra: Kubernetes, Terraform, observability, networking. Platform: auth, tenancy, billing, configuration. Apps: operator console + example AI applications. Active Build : In-progress
