OpenSearch and the Path to a Trillion-scale Vector Database

Explore the evolution of OpenSearch into a trillion-scale vector database platform in this 26-minute sponsored conference session from the Linux Foundation. Discover how OpenSearch has achieved breakthrough technological advancements to support massive AI and machine learning vector workloads, including 3x improvements in search throughput, 3x better disk storage utilization, and 10x faster index builds using Nvidia GPUs. Learn about advanced quantization techniques that efficiently process high-dimensional vectors while maintaining accuracy and cost-effectiveness. Understand how these performance gains make large-scale vector operations economically viable for organizations of all sizes, and gain insights into architecting trillion-scale vector search solutions, optimizing performance and storage efficiency, leveraging GPU acceleration, reducing infrastructure costs, and avoiding common scaling pitfalls when building next-generation AI-powered search applications.