{"id":97907,"date":"2025-05-20T15:38:20","date_gmt":"2025-05-20T11:38:20","guid":{"rendered":"https:\/\/techxmedia.com\/en\/?p=97907"},"modified":"2025-05-20T15:38:22","modified_gmt":"2025-05-20T11:38:22","slug":"vast-data-integrates-with-nvidia-ai-q-for-enterprise-ai","status":"publish","type":"post","link":"https:\/\/techxmedia.com\/en\/vast-data-integrates-with-nvidia-ai-q-for-enterprise-ai\/","title":{"rendered":"VAST Data Integrates with NVIDIA AI-Q for Enterprise AI"},"content":{"rendered":"\n<p><\/p>\n\n\n\n<p>VAST Data, the AI data platform company, has announced the integration of the VAST Data Platform with <a href=\"https:\/\/www.nvidia.com\/en-us\/ai\/\">NVIDIA AI-Q.<\/a> This collaboration delivers a unified foundation for building, accelerating, and scaling AI agents across enterprise environments.<\/p>\n\n\n\n<p>The company revealed that pairing its platform with the NVIDIA AI-Q Blueprint enhances capabilities for real-time multimodal data access and intelligent agent orchestration. The integration supports enterprise-scale AI systems.<\/p>\n\n\n\n<p>A live demonstration of this collaboration was showcased during NVIDIA CEO Jensen Huang\u2019s keynote at <a href=\"https:\/\/techxmedia.com\/en\/category\/computex\/\">COMPUTEX<\/a>. The demo highlighted how AI agents can access and reason over structured and multimodal data in real time.<\/p>\n\n\n\n<p>The NVIDIA AI-Q Blueprint, featured in the keynote, provides a reference implementation for rapid metadata extraction. It also supports heterogeneous connectivity between agents, tools, and data. This simplifies the creation of agentic AI query engines with transparency and traceability.<\/p>\n\n\n\n<p>VAST reported that the integration brings together NVIDIA Blackwell accelerated computing, AI-Q, and VAST\u2019s unified platform. It combines database, compute, and data services to enable intelligent agent orchestration with unprecedented speed and scale.<\/p>\n\n\n\n<p>Jeff Denworth, Co-Founder at VAST Data, noted the shift in infrastructure needs in the agentic era. He stated that enterprises need immediate and unrestricted access to data for smarter decision-making. By embedding NVIDIA AI-Q, the platform is designed to meet these demands with real-time, multimodal intelligence and dynamic pipelines.<\/p>\n\n\n\n<p>With this integration, enterprises gain real-time, high-throughput access to multimodal data, including:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Images, videos, chat, email, and documents<\/li>\n\n\n\n<li>Structured data from ERP, CRM, and data warehouses<\/li>\n<\/ul>\n\n\n\n<p>Using NVIDIA NeMo Retriever, the platform extracts and reranks relevant data before passing it to advanced reasoning models. This secure, AI-native pipeline transforms raw data into actionable insights.<\/p>\n\n\n\n<p>Justin Boitano, Vice President of Enterprise AI at NVIDIA, emphasized that AI-driven data platforms are key for operationalizing sophisticated agentic AI. He said that the partnership with VAST enables faster access to insights from business data.<\/p>\n\n\n\n<p>VAST and NVIDIA also offer several enterprise-grade benefits:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>High-speed, low-latency data access at petabyte to exabyte scale<\/li>\n\n\n\n<li>Real-time agent optimization with NVIDIA Agent Intelligence toolkit<\/li>\n\n\n\n<li>Global data discoverability with VAST\u2019s unified namespace<\/li>\n\n\n\n<li>Privacy-preserving integration and fine-grained access controls<\/li>\n<\/ul>\n\n\n\n<p>Together, the VAST Data Platform and NVIDIA AI-Q aim to empower enterprises to build intelligent, multi-agent systems with full observability and governance.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>VAST Data, the AI data platform company, has announced the [&hellip;]<\/p>\n","protected":false},"author":58,"featured_media":97909,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[9619],"tags":[2725],"contributor":[9732],"class_list":["post-97907","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-top-stories","tag-artificial-intelligence","contributor-news-desk"],"featured_image_src":"https:\/\/techxmedia.com\/en\/wp-content\/uploads\/2025\/05\/Vast-data.jpg","author_info":{"display_name":"Lubna","author_link":"https:\/\/techxmedia.com\/en\/author\/lubna\/"},"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/posts\/97907","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/users\/58"}],"replies":[{"embeddable":true,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/comments?post=97907"}],"version-history":[{"count":0,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/posts\/97907\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/media\/97909"}],"wp:attachment":[{"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/media?parent=97907"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/categories?post=97907"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/tags?post=97907"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/contributor?post=97907"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}