DigitalOcean positions its Managed Databases as the memory layer for production AI inference workloads. The post covers how PostgreSQL with pgvector, MongoDB, Valkey, OpenSearch, and Kafka each serve distinct roles in stateful agent architectures: RAG knowledge retrieval, semantic memory, durable execution state, operational data access, response caching, and event streaming. A reference architecture is outlined showing how DOKS, GPU Droplets, and Managed Databases connect via VPC to support end-to-end agentic inference pipelines. PostgreSQL and Valkey are recommended as the starting point, with purpose-built databases added as workloads mature.
Table of contents
What is the inference cloud?Architecting the memory layer: a mapping matrixWhat DigitalOcean’s Agentic Inference Cloud configuration looks likeUse DigitalOcean for your production-ready inference workloadsSort: