Build gpu-boosted, auto-optimized, billion-scale VectorDBs in hours
Dylan Tong, Product Lead, AI and Vectors Amazon OpenSearch Service
Vamshi Nakkirtha, Senior Manager, Software Dev, Vector Search at Amazon OpenSearch Service
Amazon OpenSearch Service lets you search billions of vectors in milliseconds and with high accuracy to support semantic search and power generative AI. Learn how we’re democratizing vector search and accelerating AI development with vector index GPU-acceleration and auto-optimization on Amazon OpenSearch Service. The new features allow you to scale to billions of vectors in minutes – up to X faster at Y cost, while auto-optimizing complex parameter tuning and quantization decisions.
Speakers
Dylan Tong
Dylan is a Senior Product Manager at Amazon Web Services. He leads the product initiatives for AI and machine learning (ML) on OpenSearch including OpenSearch’s vector database capabilities. Dylan has decades of experience working directly with customers and creating products and solutions in the database, analytics and AI/ML domain. Dylan holds a BSc and MEng degree in Computer Science from Cornell University.
Vamshi Nakkirtha
Vamshi is a software engineering manager working on the OpenSearch Project and Amazon OpenSearch Service. His primary interests include distributed systems.
About AWS
Launched in 2006, Amazon Web Services (AWS) provides leading cloud technologies that enable organizations and individuals to create transformative solutions. As part of Amazon, AWS is committed to being Earth’s most customer-centric company, focusing on solving customer problems with cloud infrastructure that fosters continuous innovation. AWS supports entrepreneurs, businesses, non-profits, governments, and cities by offering scalable tools to help them reinvent themselves, advance their missions, and serve their communities. Customers trust AWS to help them achieve their goals, handle data securely, and push the boundaries of what’s possible.
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