Accelerate vector search for enterprise-scale AI with Elastic and NVIDIA

Blake Holden

Senior Solutions Architect

Elastic

Corey Nolet

Distinguished Engineer - Unstructured Data Processing

NVIDIA

Modern AI applications depend on fast, scalable search and retrieval. As unstructured data volumes grow at an unprecedented rate, traditional infrastructure struggles to keep up.

Join experts from Elastic and NVIDIA to explore how GPU-accelerated vector indexing eliminates ingest bottlenecks, improves performance, reduces infrastructure costs, and accelerates the path to successful enterprise AI deployments at scale. Register now to see how Elastic and NVIDIA teams are helping developers build faster, more scalable AI search applications.

Highlights

• See how Elasticsearch integrates with NVIDIA cuVS for GPU accelerated indexing.
• Learn how Elastic and NVIDIA work together to accelerate enterprise AI search use cases.
• Understand why CPU-based vector indexing is a bottleneck.
• Learn how NVIDIA's CAGRA graph utilized during indexing outperforms HNSW.
• See a live demo: CPU vs. GPU indexing in real time.

Additional resources

• [Tutorial] Seamlessly connect with NVIDIA to enhance your search capabilities
• [Reference] Elastic GPU-accelerated indexing requirements and configuration
• Elastic + NVIDIA: Power Enterprise AI at Scale