Private AI Services Container
Oracle Private AI Services Container is a robust, secure AI infrastructure that helps regulated organizations, and those with stringent security requirements, address common compliance and auditability challenges of AI model deployments.
Offload Creating Vector Indexes to Remote GPU Container
The Private AI Services Container Vector Index Service allows you to offload the creation of Hierarchical Navigable Small World (HNSW) indexes from the Oracle AI Database to a container running on a remote machine with an NVIDIA GPU.
Accelerate time to insight and reduce database workload by offloading index creation to external GPU-powered processing. This delivers dramatically faster performance without adding complexity, all within the trusted, secure, and easy-to-use Oracle AI Database platform.
Private AI Container for Vector Embedding Generation
The Oracle Private AI Services Container gives Oracle AI Database customers a private, air-gap-capable, OpenAI-style inference layer that keeps embedding work off the database server while still fitting naturally into Oracle-native workflows.
The Private AI Services Container protects Oracle AI Database performance and keeps AI inference inside your security boundary.
Private AI Support for Large Language Models, Reranking, and Text Classification
The Private AI Services Container adds local LLM inference, reranking, and text classification services, enabling chat, RAG, agentic workflows, relevance-ranked retrieval, and label-based text analysis through containerized REST APIs deployable on CPU or GPU infrastructure.
You can build private, production-ready AI applications closer to enterprise data while keeping AI processing within your controlled infrastructure.
By offloading AI workloads from the database to dedicated compute, you can preserve database resources for core operations while adding scalable capabilities for chat, search, classification, routing, sentiment analysis, and other AI-driven workflows.