Open-Source AI on OCI: Serving LLMs on Kubernetes with vLLM, Qdrant, and Terraform

Oracle has published a detailed guide for deploying open-source LLMs on Oracle Cloud Infrastructure (OCI) using a modern stack of battle-tested tools. The tutorial leverages vLLM for high-performance inference optimization, Qdrant for vector database operations, and Terraform for declarative infrastructure management.

This resource is particularly valuable for practitioners looking to move beyond single-machine deployments into production-grade, scalable environments. vLLM's continuous batching and optimized attention mechanisms significantly improve throughput compared to standard inference implementations, while the Terraform approach ensures reproducible, version-controlled infrastructure. The combination enables teams to deploy cost-effective self-hosted LLM services without vendor lock-in.

For local LLM enthusiasts planning to scale from edge devices to cloud infrastructure, this guide demonstrates best practices that translate directly to self-managed Kubernetes clusters on any cloud provider or on-premises hardware.

Source: Oracle Blogs · Relevance: 9/10