Elastic vector indexing with NVIDIA cuVS GPU acceleration eliminates a critical barrier to successful enterprise-scale AI deployments, enabling organizations to vectorize massive volumes of unstructur...

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Elastic and NVIDIA have integrated NVIDIA cuVS GPU acceleration into Elasticsearch's vector indexing pipeline, delivering up to 12x faster indexing throughput and 7x faster force merging compared to CPU-based approaches. On a cost-adjusted basis, GPU acceleration provides approximately 5x higher indexing throughput. Elasticsearch is now a validated vector database within the NVIDIA Enterprise AI Factory validated design, offering a pre-engineered blueprint for on-premises AI deployments. The integration also includes native GPU-accelerated inference via Elastic Inference Service (EIS). The feature is currently in technical preview for self-managed enterprise customers on version 9.3, with general availability planned for April 2026 in version 9.4.

Elastic and NVIDIA together unlock next generation enterprise AI search