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Elastic integrates Elasticsearch with NVIDIA AI Factory design
Elastic integrates Elasticsearch with NVIDIA AI Factory design

Techday NZ

time20-05-2025

  • Business
  • Techday NZ

Elastic integrates Elasticsearch with NVIDIA AI Factory design

Elastic has confirmed that its Elasticsearch technology now integrates with the NVIDIA Enterprise AI Factory validated design to support organisations developing AI systems on their own infrastructure. The integration positions Elasticsearch as a recommended vector database for enterprises aiming to construct and implement on-premises AI factories, providing the foundation for real-time intelligence in AI agents and generative AI applications. Elastic is developing a plugin utilising NVIDIA cuVS, a technology designed to expedite the construction and querying of vector search indexes. This is expected to deliver faster and more precise results for both real-time and generative AI workloads. "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." The importance of vector search and vector databases in supporting AI applications continues to grow within the industry. Elasticsearch is already widely used for such applications across the sector, supported by an active open source community. Elastic has invested in optimising the performance of its vector database. Previous efforts have included hardware-accelerated CPU SIMD instructions, innovations in vector data compression with Better Binary Quantization, and performance improvements in Filtered HNSW, all aimed at increasing the effectiveness of indexing and querying at scale. Pat Lee, Vice President, Strategic Enterprise Partnerships at NVIDIA, commented on the role of vector technology in AI. "Vector databases are transforming enterprise AI by making it easier for companies to find and use information quickly," he said. "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." Elastic stated that further details regarding its ongoing collaboration with NVIDIA, and developments associated with vector search on GPU, are available via its official blog. Follow us on: Share on:

DDN Teams With NVIDIA to Help Enterprises Transform Unstructured Data into AI-Driven Business Value
DDN Teams With NVIDIA to Help Enterprises Transform Unstructured Data into AI-Driven Business Value

Yahoo

time19-05-2025

  • Business
  • Yahoo

DDN Teams With NVIDIA to Help Enterprises Transform Unstructured Data into AI-Driven Business Value

CHATSWORTH, Calif., May 19, 2025--(BUSINESS WIRE)--DDN®, the global leader in AI and data intelligence solutions, today announced it is redefining enterprise infrastructure by turning storage into an intelligent, AI-native platform that fuels real-time insight, faster decisions, and measurable impact with the NVIDIA AI Data Platform reference design. DDN solutions built with the design in collaboration with NVIDIA empower organizations to unlock the business potential of generative AI by simplifying how they store, access, and activate their most valuable asset: unstructured data. In the age of agentic AI platforms and scalable AI factories, enterprises must fundamentally reimagine their relationship with data. It's no longer just about storing information—it's about activating it. Data has become the fuel, the fabric, and the foundation of competitive advantage. "At DDN, we are not just keeping pace with this transformation—we're defining it," said Santosh Erram, Global Head of Partnerships—NVIDIA and Hyperscaler, at DDN. "If your data infrastructure isn't purpose-built for AI, then your AI strategy is already at risk. DDN is where data meets intelligence, and where the future of enterprise AI is being built." Turning Unstructured Data into Action With more than 90% of new data being unstructured—ranging from documents and videos to code and conversations—organizations are sitting on a goldmine of insights. But traditional systems weren't designed to support the speed, scale, and intelligence that AI now demands. The solution from DDN and NVIDIA solves this by combining DDN Infinia™, an AI-native data platform, with NVIDIA NIM and NeMo Retriever microservices, NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, and NVIDIA Networking. This enables enterprises to deploy Retrieval-Augmented Generation (RAG) pipelines and intelligent AI applications grounded in their own proprietary data—securely, efficiently, and at scale. "Intelligent storage is key to transforming enterprise data into real-time intelligence for agentic AI reasoning," said Pat Lee, vice president, Enterprise Strategic Partnerships at NVIDIA. "Together, DDN and NVIDIA are building storage systems with accelerated computing, networking, and software to drive AI applications that can automate operations and amplify people's productivity." Business Outcomes That Matter Across industries—from finance and healthcare to telecom and manufacturing—organizations using DDN and NVIDIA solutions are realizing transformative results: Accelerated decision-making through conversational access to internal knowledge Enhanced customer engagement with domain-specific chatbots and digital assistants Lower total cost of ownership by reducing infrastructure sprawl and maximizing AI throughput Stronger data governance through on-prem, hybrid, or sovereign deployment models Infrastructure for the AI Factory Era Leading AI adopters are no longer just running pilots—they are building AI factories: repeatable, scalable pipelines that turn data into decisions. This next phase of enterprise AI requires a new foundation—one where storage is intelligent, high-performance, and seamlessly connected to AI pipelines. "AI has changed the rules—and DDN is redefining what enterprise data infrastructure must look like," said Sven Oehme, CTO and President at DDN. "Our work with NVIDIA accelerates time-to-value and allows enterprises to move faster and smarter in the AI economy." Learn More: Explore NVIDIA's AI Data Platform at or learn more about the DDN and NVIDIA partnership at About DDN DDN is the world's leading AI and data intelligence company, empowering organizations to maximize the value of their data with end-to-end HPC and AI-focused solutions. Its customers range from the largest global enterprises and AI hyperscalers to cutting-edge research centers, all leveraging DDN's proven data intelligence platform for scalable, secure, and high-performance AI deployments that drive 10x returns. Follow DDN: LinkedIn, X, and YouTube. View source version on Contacts DDN Media Contact:Amanda LeeVP, Marketing – Analyst and Media Relationsamlee@ Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

DDN Teams With NVIDIA to Help Enterprises Transform Unstructured Data into AI-Driven Business Value
DDN Teams With NVIDIA to Help Enterprises Transform Unstructured Data into AI-Driven Business Value

Business Wire

time19-05-2025

  • Business
  • Business Wire

DDN Teams With NVIDIA to Help Enterprises Transform Unstructured Data into AI-Driven Business Value

CHATSWORTH, Calif.--(BUSINESS WIRE)-- DDN ®, the global leader in AI and data intelligence solutions, today announced it is redefining enterprise infrastructure by turning storage into an intelligent, AI-native platform that fuels real-time insight, faster decisions, and measurable impact with the NVIDIA AI Data Platform reference design. DDN solutions built with the design in collaboration with NVIDIA empower organizations to unlock the business potential of generative AI by simplifying how they store, access, and activate their most valuable asset: unstructured data. In the age of agentic AI platforms and scalable AI factories, enterprises must fundamentally reimagine their relationship with data. It's no longer just about storing information—it's about activating it. Data has become the fuel, the fabric, and the foundation of competitive advantage. 'At DDN, we are not just keeping pace with this transformation—we're defining it,' said Santosh Erram, Global Head of Partnerships—NVIDIA and Hyperscaler, at DDN. 'If your data infrastructure isn't purpose-built for AI, then your AI strategy is already at risk. DDN is where data meets intelligence, and where the future of enterprise AI is being built.' Turning Unstructured Data into Action With more than 90% of new data being unstructured—ranging from documents and videos to code and conversations—organizations are sitting on a goldmine of insights. But traditional systems weren't designed to support the speed, scale, and intelligence that AI now demands. The solution from DDN and NVIDIA solves this by combining DDN Infinia ™, an AI-native data platform, with NVIDIA NIM and NeMo Retriever microservices, NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, and NVIDIA Networking. This enables enterprises to deploy Retrieval-Augmented Generation (RAG) pipelines and intelligent AI applications grounded in their own proprietary data—securely, efficiently, and at scale. 'Intelligent storage is key to transforming enterprise data into real-time intelligence for agentic AI reasoning,' said Pat Lee, vice president, Enterprise Strategic Partnerships at NVIDIA. 'Together, DDN and NVIDIA are building storage systems with accelerated computing, networking, and software to drive AI applications that can automate operations and amplify people's productivity.' Business Outcomes That Matter Across industries—from finance and healthcare to telecom and manufacturing—organizations using DDN and NVIDIA solutions are realizing transformative results: Accelerated decision-making through conversational access to internal knowledge Enhanced customer engagement with domain-specific chatbots and digital assistants Lower total cost of ownership by reducing infrastructure sprawl and maximizing AI throughput Stronger data governance through on-prem, hybrid, or sovereign deployment models Infrastructure for the AI Factory Era Leading AI adopters are no longer just running pilots—they are building AI factories: repeatable, scalable pipelines that turn data into decisions. This next phase of enterprise AI requires a new foundation—one where storage is intelligent, high-performance, and seamlessly connected to AI pipelines. 'AI has changed the rules—and DDN is redefining what enterprise data infrastructure must look like,' said Sven Oehme, CTO and President at DDN. 'Our work with NVIDIA accelerates time-to-value and allows enterprises to move faster and smarter in the AI economy.' Explore NVIDIA's AI Data Platform at or learn more about the DDN and NVIDIA partnership at DDN is the world's leading AI and data intelligence company, empowering organizations to maximize the value of their data with end-to-end HPC and AI-focused solutions. Its customers range from the largest global enterprises and AI hyperscalers to cutting-edge research centers, all leveraging DDN's proven data intelligence platform for scalable, secure, and high-performance AI deployments that drive 10x returns. Follow DDN: LinkedIn, X, and YouTube.

Elastic Brings Enterprise Data to NVIDIA AI Factories
Elastic Brings Enterprise Data to NVIDIA AI Factories

Business Wire

time19-05-2025

  • Business
  • Business Wire

Elastic Brings Enterprise Data to NVIDIA AI Factories

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 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.

Cohesity Gaia pioneers AI-powered insights from on-premises backup data
Cohesity Gaia pioneers AI-powered insights from on-premises backup data

Zawya

time19-03-2025

  • Business
  • Zawya

Cohesity Gaia pioneers AI-powered insights from on-premises backup data

DUBAI, United Arab Emirates – Cohesity, the leader in AI-powered data security, is expanding Cohesity Gaia, the enterprise knowledge discovery assistant, to deliver one of the industry's first AI search capabilities for backup data stored on-premises. The solution will be available for use with Cisco UCS, Hewlett Packard Enterprise (HPE), and Nutanix. The expansion will enable enterprises to uncover AI-powered insights by unlocking the full potential of their on-premises backup data. As enterprises increasingly adopt hybrid cloud strategies, many prefer to have valuable, critical data remain on-premises to meet security, compliance, and performance requirements. Extending Cohesity Gaia to data stored on-premises empowers enterprises to tap into more high-quality data and remain fully in control of their infrastructure. 'As the UAE accelerates its AI and digital transformation agenda in line with the National AI Strategy 2031 and the Digital Government Strategy 2025, enterprises must ensure they can securely harness AI-driven insights while maintaining full control over their data,' said Johnny Karam, Managing Director and Vice President, International Emerging Markets at Cohesity. 'With Cohesity Gaia's expansion to on-premises environments, organizations across key sectors—including government, finance, and healthcare—can leverage AI-powered discovery to drive innovation while aligning with the nation's stringent data security and compliance frameworks.' Leveraging NVIDIA accelerated computing and the NVIDIA AI Enterprise software platform — including with NVIDIA NIM microservices and NVIDIA NeMo Retriever — the Cohesity Gaia discovery assistant brings the power of generative AI to data backups and archives. Cohesity Gaia lets customers unleash new levels of insight, efficiency, innovation, and growth. "Access to data is a crucial foundation for building advanced AI systems, including agentic AI,' said Pat Lee, vice president, Strategic Enterprise Partnerships, NVIDIA. 'By integrating NVIDIA NIM microservices and NeMo Retriever into Cohesity Gaia, enterprises can harness AI-driven insights directly within their infrastructure to preserve data accessibility and security while unlocking new levels of intelligence.' The extension of Cohesity Gaia to on-premises environments will mark a significant milestone in the evolution of AI-driven enterprise data management. Key benefits of the solution include: Complete control and security – allowing enterprises to retain full control over backup data while harnessing AI to extract meaningful insights. High-performance AI with NVIDIA accelerated computing – delivering the speed, accuracy, and efficiency of AI capabilities using accelerated computing Multi-lingual indexing and querying – allowing global enterprises to search and analyze data in multiple languages. Customizable and scalable infrastructure – making it easy for customers to tailor their data intelligence environment to specific business needs. Reference architectures – providing a prescriptive way for enterprises to deploy the solution on-premises across multiple hardware platforms. Pre-packaged on-premises LLMs – eliminating the need for any customer backup data to be transferred to the cloud. Optimized architecture – enabling efficient searches of petabyte-level volumes of data. Customers like JSR Corporation, an international research and manufacturing company, are evaluating the benefits of leveraging Cohesity Gaia's on-premises solution. "With research centers in many locations, our researchers speak different languages. We want to be able to use generative AI to look across years of our data to discover insights that can accelerate the rate of our research and discovery,' said Ryan Reed, Head of IT, JSR Corporation. 'Cohesity is leveraging NVIDIA AI Enterprise software and expertise to make that possible with an on-premises AI solution that uses our own collective knowledge.' Cohesity is collaborating with data security, infrastructure, and AI industry leaders to bring Gaia to enterprises worldwide. Cisco, HPE, and Nutanix will be among the organizations that can offer Cohesity Gaia software with their full stack solutions. Cohesity and Cisco will validate and deploy Cohesity Gaia Software on Cisco AI PODs—plug-and-play AI infrastructure stacks that integrate compute, storage, networking, and NVIDIA AI Enterprise to simplify adoption with scalable, efficient, and future-ready deployment. Cohesity and HPE will work together to validate and deploy Cohesity Gaia Software on HPE Private Cloud AI, a turnkey, cloud-based solution co-developed with NVIDIA. Cohesity Gaia for on-premises environments is slated for general availability in mid-2025. More information can be found at this blog. To see a demonstration of Cohesity Gaia at NVIDIA GTC, visit booth 2012. Cohesity and NVIDIA will also present a Tech Insights session during the NVIDIA GTC event on March 18 at 9 a.m. Pacific, discussing the enterprise AI landscape, critical gaps, and security considerations. Learn more about Cohesity's work with NVIDIA. Supporting Quotes 'Cohesity Gaia's on-premises solution combined with Cisco's AI-optimized infrastructure would enable organizations to unlock the insights and untapped value in their backup data," said Jeremy Foster, SVP and GM of Cisco Compute. "It promises to also deliver the performance and scalability needed for growing AI workloads, while keeping sensitive data within an organization's control.' "To accelerate value creation with AI, enterprises need exceptional performance and simplicity across their data estate. Cohesity Gaia paired with HPE AI-optimized infrastructure, such as HPE Private Cloud AI, provides both," said Patrick Osborne, SVP of technology acceleration, HPE. "These integrated solutions featuring HPE storage and servers let organizations efficiently manage unstructured data growth, reduce costs and complexity, and create new insights within their own secure environments." "Cohesity Gaia integrated with Nutanix Enterprise AI infrastructure will enable enterprise customers to efficiently derive value from backup data," said Thomas Cornely, SVP of Product Management, Nutanix. This joint solution will deliver valuable AI powered insights with privacy, control, and efficiency, all within the confines of their on-premises environments.' About Cohesity Cohesity is the leader in AI-powered data security. Over 13,600 enterprise customers, including over 85 of the Fortune 100 and nearly 70% of the Global 500, rely on Cohesity to strengthen their resilience while providing Gen AI insights into their vast amounts of data. Formed from the combination of Cohesity with Veritas' enterprise data protection business, the company's solutions secure and protect data on-premises, in the cloud, and at the edge. Backed by NVIDIA, IBM, HPE, Cisco, AWS, Google Cloud, and others, Cohesity is headquartered in Santa Clara, CA, with offices around the globe. To learn more, follow Cohesity on LinkedIn, X, and Facebook. Cautionary Statement Regarding Forward-Looking Statements: Any forward-looking statements in this release are based on management's current expectations and beliefs and are subject to change/update without notice. Media Contact The Alto Agency on behalf of Cohesity in the UAE Cohesity@

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