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

Elastic, Red Hat, and NVIDIA have collaborated to create a powerful AI infrastructure that combines Elastic's GPU-accelerated vector search capabilities with Red Hat's AI platform on OpenShift, leveraging NVIDIA's cuVS for enhanced performance. This integration allows enterprises to deploy scalable retrieval augmented generation (RAG) and intelligent AI agents across various environments, including on-premises, cloud, and hybrid architectures. The partnership addresses the challenges of indexing large volumes of unstructured data by significantly accelerating the process, enabling up to 12 times faster indexing and reducing CPU utilization. This solution is designed to meet data sovereignty requirements, providing organizations with the flexibility to manage and secure their data while deploying AI solutions that can efficiently retrieve context and execute operational workflows. By utilizing Elastic's Agent Builder and Workflows, enterprises can develop autonomous agents capable of real-time decision-making and action-taking, exemplified by use cases such as financial institutions deploying customer-facing AI assistants. Overall, the collaboration empowers businesses to maintain control over their data, ensuring security and compliance while harnessing the full potential of AI technologies.

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