Power your sovereign AI factory using Elastic accelerated with the speed of NVIDIA GPUs on cuVS and the flexibility of Red Hat AI to enable enterprise-scale RAG and agentic AI workflows across any env...

Elastic offers insights into Elasticsearch, Kibana, and the Elastic Stack, providing documentation, tutorials, and best practices for building search and analytics applications at scale. By exploring Elastic's curated content, developers can learn about full-text search capabilities, data visualization techniques, and distributed data processing for analyzing and exploring large datasets in real-time. Whether you're building logging systems, monitoring dashboards, or search-driven applications, Elastic offers resources to leverage the power of search and analytics and drive actionable insights from your data.

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Elastic's GPU-accelerated vector search using NVIDIA cuVS is now available on the Red Hat AI platform (OpenShift). The integration delivers up to 12x faster vector indexing and 7x faster force merging by offloading compute-intensive work to GPUs. Together, Elastic, Red Hat, and NVIDIA provide a production-ready, sovereign AI factory stack for enterprise RAG pipelines and agentic AI workflows across on-premises, cloud, and hybrid environments. Organizations can use Elastic Agent Builder and Elastic Workflows on Red Hat OpenShift AI to build autonomous agents that retrieve real-time data while keeping proprietary data within their own infrastructure.

Build your AI factory using Elasticsearch on the Red Hat AI platform

Why indexing speed matters from RAG to agentic AI

Red Hat AI is the right platform for Elastic GPU-acceleration