| Discover | Model Garden | Multi-modal model sourcing | Support for various modalities (Text, Vision, etc.) is essential |
| Prototype | Notebooks, Studio, Colab | Safe and collaborative R&D | Allow fast iteration and experimentation before committing to scale |
| Customize | Training, Feature Store, Experiments | Fine-tuning, embedding, model tuning | Domain-specific model improvements need feature/embedding pipelines |
| Orchestrate | Vertex Pipelines | Workflow automation | Seamless orchestration of LLM workflows, agents, or data pipelines |
| Augment & Chain | Grounding, RAG, Extensions, Agent Builder | Retrieval-augmented generation stack | Ground responses with verifiable data and enable external tool usage |
| Experiment | TensorBoard, Experiments | Model evaluation & diagnostics | Measure model behavior with reproducible experiments and visual tools |
| Predict & Serve | Endpoints, Vector Search | Scalable deployment and retrieval | Enable low-latency LLM and embedding-backed services for production use |
| Govern | Model Registry, Dataplex | Compliance and observability | Ensure traceability, auditability, versioning, and access control |