Oracle // NVIDIA Demo

Oracle Database 23ai represents a major evolution in enterprise data management, focusing heavily on artificial intelligence and developer efficiency. By incorporating built-in AI Vector Search, developers can run fast similarity queries directly alongside business data without managing a separate vector database. The release also solves the classic object-relational mismatch through JSON Relational Duality Views: a feature allowing applications to interact with data as simple JSON documents while storing it securely in relational tables. With additional capabilities like True Cache for high-speed caching and support for property graphs, this long-term support release delivers the performance and versatility required for modern, mission-critical workloads.

RAG is a critical GenAI architecture: it solves the LLM 'hallucination' problem by inserting a retrieval step before generation. A user query is vectorized, then used to query an external knowledge base (e.g., a Pinecone vector database) for relevant document chunks (typically 512-token segments). These retrieved facts augment the original prompt, providing the LLM (e.g., Gemini or Llama 3) the specific, current, or proprietary context required. This process ensures the final response is accurate and grounded in domain-specific data, avoiding the high cost and latency of full model retraining.

NVIDIA KVBM (Key-Value Block Manager) serves as the dedicated memory orchestration layer within the NVIDIA Dynamo inference framework. It eliminates the GPU memory bottleneck during long-context and agentic AI workloads by establishing a four-tier storage hierarchy: GPU HBM, pinned CPU host memory, local SSDs, and remote cloud or object storage. By abstracting KV cache management from specific engine runtimes like vLLM and TensorRT-LLM, KVBM allows teams to store, retrieve, and share context blocks across distributed GPU clusters. This architecture prevents expensive prefix recomputations, improves first-token latency, and scales multi-turn AI conversations without requiring additional GPU hardware.