Elastic, known as the Search AI Company, has announced a strategic integration of Elasticsearch with the NVIDIA Enterprise AI Factory validated design. This collaboration aims to empower enterprises to build and deploy on-premises AI factories with a recommended vector database optimized for high performance and scalability.

Highlights of the Integration

• New Elasticsearch Plugin with NVIDIA cuVS

  • Elastic will develop a plugin leveraging NVIDIA’s cuVS technology.

  • This plugin will accelerate vector search index build times and query processing on GPUs.

• Elastic’s Commitment to Vector Database Excellence

  • Focused on building the best vector database in the market.

  • Uses hardware-accelerated CPU SIMD instructions and innovative vector data compression like Better Binary Quantization.

  • Enhanced Filtered HNSW algorithm for faster vector search performance.

• Industry and Community Impact

  • Elasticsearch is widely adopted for vector search and AI applications.

  • Supported by a vibrant open source community driving continuous innovation.

• Benefits of NVIDIA Enterprise AI Factory Integration

  • Enables faster, more relevant data insights for Elastic customers.

  • Facilitates enterprise AI deployments with real-time, precise information delivery.

  • Supports AI agents and generative AI applications by unlocking deeper insights.

• Statements from Leadership

  • Ken Exner, Elastic’s Chief Product Officer, emphasized obsession with vector database performance.

  • Pat Lee, NVIDIA VP of Strategic Enterprise Partnerships, highlighted the transformative impact of vector databases on enterprise AI.

The Elastic-NVIDIA collaboration marks a significant advancement in vector search technology, enabling enterprises to harness faster, GPU-accelerated AI capabilities with Elasticsearch. By integrating with NVIDIA’s Enterprise AI Factory design, Elastic is positioned to deliver enhanced real-time insights that power next-generation AI applications and enterprise AI factories.