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Elastic Brings Enterprise Data to NVIDIA AI Factories

1. Elastic integrates Elasticsearch with NVIDIA's AI Factory for enhanced AI applications. 2. The collaboration aims to improve vector search index speeds and efficiency. 3. Elasticsearch is pivotal in AI data management for enterprises. 4. Vector databases are key for quick information retrieval in AI. 5. Elastic enhances its offerings in AI-driven insights with advanced GPU capabilities.

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Why Bullish?

The partnership with NVIDIA enhances Elastic's product offerings, driving potential revenue growth. Historical collaborations between tech leaders often result in market share increases and investor confidence.

How important is it?

The integration significantly bolsters Elastic's position in the AI landscape, enhancing its market competitiveness. Companies leveraging AI tools are likely to view Elastic more favorably.

Why Long Term?

The partnership is expected to shape future AI developments, allowing Elastic to capture ongoing market trends. Previous integrations in technology sectors have led to sustained benefits over years.

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-Elasticsearch integrates with NVIDIA Enterprise AI Factory validated design to fuel AI agents and generative AI applications with real-time intelligence SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI Company, announced that Elasticsearch integrates with the new NVIDIA Enterprise AI Factory validated design to provide a recommended vector database for enterprises to build and deploy their own on-premises AI factories. Elastic will use NVIDIA cuVS to create a new Elasticsearch plugin that will accelerate vector search index build times and queries. “We are obsessed with building the best vector database in the market,” said Ken Exner, chief product officer at Elastic. “NVIDIA Enterprise AI Factory validated designs enable Elastic customers to unlock faster, more relevant insights from their data.” Elasticsearch is used throughout the industry for vector search and AI applications, with a thriving open source community. Elastic’s investment to accelerate vector search on GPUs builds upon previous longstanding efforts to optimize its vector database performance through hardware-accelerated CPU SIMD instructions, new vector data compression innovations like Better Binary Quantization and making Filtered HNSW faster. "Vector databases are transforming enterprise AI by making it easier for companies to find and use information quickly,” said Pat Lee, vice president, Strategic Enterprise Partnerships at NVIDIA. “With Elasticsearch and the NVIDIA Enterprise AI Factory reference design, enterprises can unlock deeper insights and deliver more relevant, real-time information to AI agents and generative AI applications.” Read the Elastic blog for more information on Elastic’s ongoing work with NVIDIA. About Elastic Elastic (NYSE: ESTC), the Search AI Company, integrates its deep expertise in search technology with artificial intelligence to help everyone transform all of their data into answers, actions, and outcomes. Elastic's Search AI Platform — the foundation for its search, observability, and security solutions — is used by thousands of companies, including more than 50% of the Fortune 500. Learn more at elastic.co. Elastic and associated marks are trademarks or registered trademarks of Elasticsearch B.V. and its subsidiaries. All other company and product names may be trademarks of their respective owners. More News From Elastic N.V.

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