Laser Focus World is an industry bedrock—first published in 1965 and still going strong. We publish original articles about cutting-edge advances in lasers, optics, photonics, sensors, and quantum technologies, as well as test and measurement, and the shift currently underway to usher in the photonic integrated circuits, optical interconnects, and copackaged electronics and photonics to deliver the speed and efficiency essential for data centers of the future.

Our 80,000 qualified print subscribers—and 130,000 12-month engaged online audience—trust us to dive in and provide original journalism you won’t find elsewhere covering key emerging areas such as laser-driven inertial confinement fusion, lasers in space, integrated photonics, chipscale lasers, LiDAR, metasurfaces, high-energy laser weaponry, photonic crystals, and quantum computing/sensors/communications. We cover the innovations driving these markets.

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Editorial Advisory Board

  • Professor Andrea M. Armani, University of Southern California
  • Ruti Ben-Shlomi, Ph.D., LightSolver
  • James Butler, Ph.D., Hamamatsu
  • Natalie Fardian-Melamed, Ph.D., Columbia University
  • Justin Sigley, Ph.D., AmeriCOM
  • Professor Birgit Stiller, Max Planck Institute for the Science of Light, and Leibniz University of Hannover
  • Professor Stephen Sweeney, University of Glasgow
  • Mohan Wang, Ph.D., University of Oxford
  • Professor Xuchen Wang, Harbin Engineering University
  • Professor Stefan Witte, Delft University of Technology

Elastic Brings Enterprise Data to NVIDIA AI Factories

Elasticsearch integrates with NVIDIA Enterprise AI Factory validated design to fuel AI agents and generative AI applications with real-time intelligence

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.

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