Latest news with #VASTDataPlatform
TECHx
20-05-2025
- Business
- TECHx
VAST Data Integrates with NVIDIA AI-Q for Enterprise AI
Home » Top stories » VAST Data Integrates with NVIDIA AI-Q for Enterprise AI VAST Data, the AI data platform company, has announced the integration of the VAST Data Platform with NVIDIA AI-Q. This collaboration delivers a unified foundation for building, accelerating, and scaling AI agents across enterprise environments. 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. A live demonstration of this collaboration was showcased during NVIDIA CEO Jensen Huang's keynote at COMPUTEX. The demo highlighted how AI agents can access and reason over structured and multimodal data in real time. 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. VAST reported that the integration brings together NVIDIA Blackwell accelerated computing, AI-Q, and VAST's unified platform. It combines database, compute, and data services to enable intelligent agent orchestration with unprecedented speed and scale. 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. With this integration, enterprises gain real-time, high-throughput access to multimodal data, including: Images, videos, chat, email, and documents Structured data from ERP, CRM, and data warehouses 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. 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. VAST and NVIDIA also offer several enterprise-grade benefits: High-speed, low-latency data access at petabyte to exabyte scale Real-time agent optimization with NVIDIA Agent Intelligence toolkit Global data discoverability with VAST's unified namespace Privacy-preserving integration and fine-grained access controls Together, the VAST Data Platform and NVIDIA AI-Q aim to empower enterprises to build intelligent, multi-agent systems with full observability and governance.
Web Release
20-05-2025
- Business
- Web Release
VAST Data Unlocks Real-Time, Multimodal AI Agent Intelligence With NVIDIA
VAST Data, the AI data platform company, today announced its integration of the VAST Data Platform with NVIDIA AI-Q to deliver a unified foundation for building, accelerating, and scaling AI agents across enterprise environments. By pairing the VAST Data Platform with the AI-Q NVIDIA Blueprint, VAST elevates the blueprint's capabilities for optimizing real-time multimodal data access and intelligent agent orchestration for enterprise-scale AI systems. A live demo of the joint VAST Data and NVIDIA collaboration was showcased during NVIDIA CEO Jensen Huang's keynote at COMPUTEX, highlighting how enterprise AI agents can access and reason over multimodal and structured data in real time. Watch the demo replay here. The NVIDIA AI-Q Blueprint, which was part of the keynote demo provides a reference implementation for rapid metadata extraction and establishes heterogeneous connectivity between agents, tools, and data. This approach simplifies the creation and operationalization of agentic AI query engines that reason across structured and unstructured data with transparency and traceability. The VAST AI Data Platform brings together NVIDIA Blackwell accelerated computing, networking, and AI-Q Blueprint with VAST's unified data platform, combining database, compute, and data services. This integration delivers real-time data access to enable intelligent agent orchestration for enterprise-scale AI systems that can now operate at unprecedented speed and scale. The agentic era is going to challenge every assumption about the scale, performance, and value of legacy infrastructure,' said Jeff Denworth, Co-Founder at VAST Data. 'As enterprises race to operationalize AI, it's no longer enough to just build smarter models — those models need immediate, unrestricted access to the data that drives intelligent decision-making. By embedding NVIDIA AI-Q into a platform purpose-built for the AI era, we're delivering the scalable, high-performance data platform required to power the next generation of enterprise AI; one driven by real-time, multimodal intelligence, continuous learning, and dynamic agentic pipelines.' Through this integration, VAST provides enterprises with real-time, high-throughput access to multimodal enterprise data – including images, documents, chat, video, and email – enabling AI agents to continuously perceive, reason, and act on the full breadth of organizational knowledge. Using NVIDIA NeMo Retriever, the platform extracts, embeds, and reranks relevant data before passing it to advanced language and reasoning models. Together with NVIDIA AI-Q, the VAST Data Platform forms a secure, AI-native pipeline that transforms raw data into actionable insight—empowering enterprises to deploy intelligent multi-agent systems with full observability, traceability, and data sovereignty. 'AI-driven data platforms are key to helping enterprises put their data to work to drive sophisticated agentic AI systems,' said Justin Boitano, Vice President, Enterprise AI at NVIDIA. 'Together, NVIDIA and VAST are creating the next generation of AI infrastructure with powerful AI systems that let enterprises quickly find insights and knowledge stored in their business data.' With the VAST Data Platform and NVIDIA AI-Q integration, enterprises benefit from: ? Multimodal RAG of Unstructured Data Without Limits: AI agents can seamlessly access and reason over unstructured and semi-structured data—including enterprise documents, images, videos, chat logs, PDFs, and even external sources like websites, blogs, and market data—enabling deep, context-aware insights across the full spectrum of enterprise and open content. ? Native Access to Structured Enterprise Data: The VAST Data Platform connects AI agents directly to structured data sources such as ERP, CRM, and data warehouses, providing real-time, high-throughput access to operational records, business metrics, and transactional systems—ensuring AI-powered decisions are grounded in current, authoritative enterprise data. ? High-Speed, Low-Latency Data Access: VAST's disaggregated and parallel architecture ensures fast, concurrent access to petabyte- and exabyte-scale datasets—eliminating bottlenecks for inference and retrieval. ? Real-Time Agent Optimization: NVIDIA Agent Intelligence toolkit combined with VAST's native telemetry allows enterprises to evaluate, fine-tune, and accelerate multi-agent workflows in production. ? Unified Global DataSpace: VAST's global namespace and data cataloging capabilities make all enterprise knowledge discoverable and usable by agents anywhere in the organization. ? Privacy-Preserving Integration: Enterprises can keep sensitive knowledge in place while enabling agents to reason and act without violating data governance or residency policies. ? Enterprise-Grade Access Control: Robust security policies and fine-grained controls within the VAST Data Platform manage and regulate access to data, resources, and platform services—ensuring enterprise data is protected, governed, and only accessible by authorized users and AI agents. VAST Data and NVIDIA are enabling organizations to build real-time AI intelligence engines that empower teams of AI agents to deliver more accurate insights, automate multi-step tasks, and continuously improve via an AI data flywheel. Additional Resources: ? BLOG: Live from Computex ? DEMO: Shaping the Future of Work with Agentic AI ? WEBINAR: Step Into the Agentic Era: Real-Time Enterprise AI with VAST & NVIDIA ? BLOG: Ready to Reason: Storage Leaders Build Infrastructure to Fuel AI Agents With NVIDIA AI Data Platform
Yahoo
19-05-2025
- Business
- Yahoo
VAST Data Unlocks Real-Time, Multimodal AI Agent Intelligence With NVIDIA
Integration combines VAST's exabyte-scale data platform with NVIDIA AI-Q to power multimodal AI agents and real-time enterprise intelligence Remote-First-Company | NEW YORK CITY | COMPUTEX 2025, May 19, 2025 (GLOBE NEWSWIRE) -- VAST Data, the AI data platform company, today announced its integration of the VAST Data Platform with NVIDIA AI-Q to deliver a unified foundation for building, accelerating, and scaling AI agents across enterprise environments. By pairing the VAST Data Platform with the AI-Q NVIDIA Blueprint, VAST elevates the blueprint's capabilities for optimizing real-time multimodal data access and intelligent agent orchestration for enterprise-scale AI systems. A live demo of the joint VAST Data and NVIDIA collaboration was showcased during NVIDIA CEO Jensen Huang's keynote at COMPUTEX, highlighting how enterprise AI agents can access and reason over multimodal and structured data in real time. Watch the demo replay here. The NVIDIA AI-Q Blueprint, which was part of the keynote demo provides a reference implementation for rapid metadata extraction and establishes heterogeneous connectivity between agents, tools, and data. This approach simplifies the creation and operationalization of agentic AI query engines that reason across structured and unstructured data with transparency and traceability. The VAST AI Data Platform brings together NVIDIA Blackwell accelerated computing, networking, and AI-Q Blueprint with VAST's unified data platform, combining database, compute, and data services. This integration delivers real-time data access to enable intelligent agent orchestration for enterprise-scale AI systems that can now operate at unprecedented speed and scale. The agentic era is going to challenge every assumption about the scale, performance, and value of legacy infrastructure,' said Jeff Denworth, Co-Founder at VAST Data. 'As enterprises race to operationalize AI, it's no longer enough to just build smarter models — those models need immediate, unrestricted access to the data that drives intelligent decision-making. By embedding NVIDIA AI-Q into a platform purpose-built for the AI era, we're delivering the scalable, high-performance data platform required to power the next generation of enterprise AI; one driven by real-time, multimodal intelligence, continuous learning, and dynamic agentic pipelines.' Through this integration, VAST provides enterprises with real-time, high-throughput access to multimodal enterprise data – including images, documents, chat, video, and email – enabling AI agents to continuously perceive, reason, and act on the full breadth of organizational knowledge. Using NVIDIA NeMo Retriever, the platform extracts, embeds, and reranks relevant data before passing it to advanced language and reasoning models. Together with NVIDIA AI-Q, the VAST Data Platform forms a secure, AI-native pipeline that transforms raw data into actionable insight—empowering enterprises to deploy intelligent multi-agent systems with full observability, traceability, and data sovereignty. 'AI-driven data platforms are key to helping enterprises put their data to work to drive sophisticated agentic AI systems,' said Justin Boitano, Vice President, Enterprise AI at NVIDIA. 'Together, NVIDIA and VAST are creating the next generation of AI infrastructure with powerful AI systems that let enterprises quickly find insights and knowledge stored in their business data.' With the VAST Data Platform and NVIDIA AI-Q integration, enterprises benefit from: Multimodal RAG of Unstructured Data Without Limits: AI agents can seamlessly access and reason over unstructured and semi-structured data—including enterprise documents, images, videos, chat logs, PDFs, and even external sources like websites, blogs, and market data—enabling deep, context-aware insights across the full spectrum of enterprise and open content. Native Access to Structured Enterprise Data: The VAST Data Platform connects AI agents directly to structured data sources such as ERP, CRM, and data warehouses, providing real-time, high-throughput access to operational records, business metrics, and transactional systems—ensuring AI-powered decisions are grounded in current, authoritative enterprise data. High-Speed, Low-Latency Data Access: VAST's disaggregated and parallel architecture ensures fast, concurrent access to petabyte- and exabyte-scale datasets—eliminating bottlenecks for inference and retrieval. Real-Time Agent Optimization: NVIDIA Agent Intelligence toolkit combined with VAST's native telemetry allows enterprises to evaluate, fine-tune, and accelerate multi-agent workflows in production. Unified Global DataSpace: VAST's global namespace and data cataloging capabilities make all enterprise knowledge discoverable and usable by agents anywhere in the organization. Privacy-Preserving Integration: Enterprises can keep sensitive knowledge in place while enabling agents to reason and act without violating data governance or residency policies. Enterprise-Grade Access Control: Robust security policies and fine-grained controls within the VAST Data Platform manage and regulate access to data, resources, and platform services—ensuring enterprise data is protected, governed, and only accessible by authorized users and AI agents. VAST Data and NVIDIA are enabling organizations to build real-time AI intelligence engines that empower teams of AI agents to deliver more accurate insights, automate multi-step tasks, and continuously improve via an AI data flywheel. Additional Resources: BLOG: Live from Computex DEMO: Shaping the Future of Work with Agentic AI WEBINAR: Step Into the Agentic Era: Real-Time Enterprise AI with VAST & NVIDIA BLOG: Ready to Reason: Storage Leaders Build Infrastructure to Fuel AI Agents With NVIDIA AI Data Platform About VAST DataVAST Data is the data platform company built for the AI era. As the new standard for enterprise AI infrastructure, organizations trust the VAST Data Platform to serve their most data-intensive computing needs. VAST Data empowers enterprises to unlock the full potential of all of their data by providing AI infrastructure that is simple, scalable, and architected from the ground up to power deep learning and GPU-accelerated data centers and clouds. Launched in 2019, VAST Data is the fastest growing data infrastructure company in history. For more information, please visit and follow VAST Data on X (formerly Twitter) and LinkedIn. CONTACT: Austin Weedfall VAST Data press@
Channel Post MEA
02-05-2025
- Business
- Channel Post MEA
VAST Data Expands Collaboration With Google Cloud
VAST Data has announced an expanded collaboration with Google Cloud to help global enterprises and AI pioneers unlock the full potential of the VAST Data Platform. The VAST Data Platform, purpose-built for AI and large-scale data processing, is fully integrated into Google Cloud – offering a unified foundation for training, retrieval-augmented generation (RAG), inference, and analytics pipelines that span across cloud, edge, and on-premises environments. This tight integration enables capabilities and efficiencies not found in conventional architectures. The announcement follows a series of insightful conversations that VAST Data held at Google Cloud Next with enterprises and cloud leaders, focused on the future of intelligent infrastructure and the growing demand for unified, scalable data platforms. As the scale and complexity of AI workloads increase, organizations face mounting challenges around managing and moving data across disparate environments. The VAST Data Platform meets these challenges with a global, AI-native architecture that eliminates silos, simplifies operations, and delivers consistent performance across every stage of the AI lifecycle. VAST is advancing a new blueprint for enterprise AI – one that's open, hybrid, and built to scale. Key innovations now available as part of the VAST Data Platform on Google Cloud include: VAST InsightEngine for Intelligent Data Computation – The groundbreaking VAST InsightEngine brings stateless, high-performance database and compute services directly into the data platform. InsightEngine enables developers and researchers to run data-centric AI pipelines—such as RAG, preprocessing, and indexing—natively at the data layer, dramatically accelerating time-to-insight and reducing infrastructure complexity. The groundbreaking VAST InsightEngine brings stateless, high-performance database and compute services directly into the data platform. InsightEngine enables developers and researchers to run data-centric AI pipelines—such as RAG, preprocessing, and indexing—natively at the data layer, dramatically accelerating time-to-insight and reducing infrastructure complexity. Exabyte-Scale Global Namespace – The VAST DataSpace provides a single, unified global namespace for all applications and services, eliminating data silos typically found in hybrid and multicloud environments by connecting data on-premises, at the edge, and in Google Cloud as well as other hyperscalers for seamless data access and mobility. – The VAST DataSpace provides a single, unified global namespace for all applications and services, eliminating data silos typically found in hybrid and multicloud environments by connecting data on-premises, at the edge, and in Google Cloud as well as other hyperscalers for seamless data access and mobility. Unified File, Object, Block and Database Access – The VAST Data Platform is the only solution that brings file (NFS, SMB), object (S3), block, and DataBase services into one globally coherent system. This architecture provides unprecedented flexibility for data teams to build, analyze, and train AI models—all from a single platform. The VAST Data Platform is the only solution that brings file (NFS, SMB), object (S3), block, and DataBase services into one globally coherent system. This architecture provides unprecedented flexibility for data teams to build, analyze, and train AI models—all from a single platform. Optimized for Mixed I/O and Metadata-Intensive Workloads – The VAST Data Platform is optimized for modern AI workflows, handling random access patterns, small files, and metadata-heavy operations with ease—ideal for neural search, model training, and inferencing at scale. The VAST Data Platform is optimized for modern AI workflows, handling random access patterns, small files, and metadata-heavy operations with ease—ideal for neural search, model training, and inferencing at scale. Cost-Efficient Disaggregated, Shared-Everything Architecture – Ability to independently scale compute from the base storage platform for compute dense and high throughput workloads allows for elastic scalability and cost-efficiency, enabling independent scaling of performance and capacity. Additionally, VAST's unique Similarity Reduction is always-on and drastically cuts physical capacity needs to deliver substantial cost savings. 'This collaboration represents a leap forward for organizations pushing the boundaries of what's possible with AI,' said Renen Hallak, Founder & CEO of VAST Data. 'By combining the elasticity and reach of Google Cloud with the intelligence and simplicity of the VAST Data Platform, we're giving developers and researchers the tools they need to move faster, build smarter, and scale without limits.' The integration is available through Google Cloud enabling organizations to quickly deploy VAST's enterprise-grade platform to accelerate AI, ML, and analytics initiatives without operational overhead. Customers can now unify their AI training, RAG pipelines, high-throughput data processing, and unstructured data lakes on a single, high-performance platform – reducing complexity and unlocking new possibilities in data-driven innovation. 'Our collaboration with VAST Data brings together Google Cloud's powerful, flexible infrastructure with a unified data platform purpose-built for AI,' said Sameet Agarwal, VP/GM Storage, Google Cloud. 'VAST is enabling customers to simplify data operations and accelerate performance across their demanding, data-intensive AI workloads.' 0 0
TECHx
01-05-2025
- Business
- TECHx
VAST, Google Cloud Expand AI Data Platform Power.
Home » Emerging technologies » Artificial Intelligence » VAST, Google Cloud Expand AI Data Platform Power VAST Data, the AI data platform company, has announced an expanded collaboration with Google Cloud. The integration is designed to help global enterprises and AI pioneers fully harness the power of the VAST Data Platform. Purpose-built for AI and large-scale data processing, the VAST Data Platform is now tightly integrated into Google Cloud infrastructure. This enhanced integration provides a unified foundation for AI workloads. It supports training, retrieval-augmented generation (RAG), inference, and analytics. These capabilities span cloud, edge, and on-premises environments. The platform's architecture introduces efficiencies that conventional systems lack. The announcement follows VAST's presence at Google Cloud Next. During the event, the company engaged in discussions with enterprises and cloud leaders. The focus was on the future of intelligent infrastructure and the need for scalable, unified data platforms. As AI workloads grow in size and complexity, many organizations face difficulties managing data across various environments. The VAST Data Platform solves this with an AI-native architecture. It eliminates data silos, simplifies operations, and ensures consistent performance across all stages of the AI lifecycle. Key innovations now available as part of the VAST Data Platform on Google Cloud include: VAST InsightEngine : A stateless, high-performance compute and database layer built into the platform. It enables native execution of AI pipelines such as RAG, preprocessing, and indexing. This reduces infrastructure complexity and improves time-to-insight. : A stateless, high-performance compute and database layer built into the platform. It enables native execution of AI pipelines such as RAG, preprocessing, and indexing. This reduces infrastructure complexity and improves time-to-insight. Exabyte-Scale Global Namespace : The VAST DataSpace provides a unified global namespace. It connects data across on-premises, edge, and Google Cloud environments. This removes silos commonly found in hybrid and multicloud setups. : The VAST DataSpace provides a unified global namespace. It connects data across on-premises, edge, and Google Cloud environments. This removes silos commonly found in hybrid and multicloud setups. Unified Data Access : The platform supports file (NFS, SMB), object (S3), block, and database services. All operate within one globally coherent system. This allows flexibility for building, training, and analyzing AI models. : The platform supports file (NFS, SMB), object (S3), block, and database services. All operate within one globally coherent system. This allows flexibility for building, training, and analyzing AI models. AI-Optimized Performance : It is tuned for workloads with random access patterns, small files, and metadata-intensive operations. This suits neural search, model training, and large-scale inferencing. : It is tuned for workloads with random access patterns, small files, and metadata-intensive operations. This suits neural search, model training, and large-scale inferencing. Disaggregated, Cost-Efficient Architecture: Compute and storage scale independently. This supports compute-dense, high-throughput workloads while maintaining cost efficiency. VAST's always-on Similarity Reduction further lowers physical storage needs. Renen Hallak, Founder and CEO of VAST Data, said the collaboration marks a major step forward. 'By combining the elasticity and reach of Google Cloud with the simplicity of the VAST Data Platform, we're giving developers and researchers the ability to scale, build smarter, and innovate faster,' he said. The integrated solution is available through Google Cloud. It enables fast deployment of VAST's enterprise-grade platform. Organizations can now streamline AI training, RAG workflows, analytics, and unstructured data processing. All workloads can run on one high-performance platform, reducing complexity and driving innovation. Sameet Agarwal, VP/GM of Storage at Google Cloud, said, 'Our collaboration with VAST Data brings together flexible infrastructure with a unified AI data platform. Customers can now accelerate performance across demanding, data-intensive AI workloads.'
