Latest news with #JeffDenworth
Web Release
19-06-2025
- Business
- Web Release
VAST Data Powers Smarter, Evolving AI Agents with NVIDIA Data Flywheel
VAST Data, the AI Operating System company, announced today that it is delivering a complete data and compute platform that enables AI intelligence to continuously evolve. The VAST AI OS, combined with NVIDIA AI Enterprise, which includes NeMo microservices that power a data flywheel for continuous model improvement, creates a unified environment where AI pipelines can constantly learn, adapt, and improve. This reference workflow provides a self-optimizing foundation for scalable AI, laying the groundwork for billions of intelligent agents to fine-tune and evolve from their data and experiences. This solution provides enterprises with a converged software platform for data management, database services, and AI compute orchestration. Additionally, VAST AI OS AgentEngine uniquely shares feedback by providing the critical capability to map the intricate web of agent-data interactions through production logs. This granular traceability allows the flywheel to dissect these multi-step interactions, accurately identifying which specific elements require adjustment to enhance outcomes, accelerating model performance and accuracy at scale. 'AI-powered businesses need thinking machines designed for a future where billions of AI agents learn from their own experiences, fine-tune in real time, and create new possibilities through collaboration,' said Jeff Denworth, Co-Founder of VAST Data. 'By unifying NVIDIA's AI software and hardware technologies within the core of the VAST AI Operating System, we are giving customers the foundation to operationalize continuous improvements in AI intelligence at scale, with the security, governance, and service delivery tools required to manage these intelligent agents and the data they rely upon.' As AI moves from isolated projects to always-on infrastructure, businesses need systems that evolve in real time with every data point while addressing new security and governance challenges around fine-tuned models, agent interactions, and decentralized data pipelines. This collaboration makes it possible to run continuous, automated AI pipelines – from ingestion to inference to retraining – all managed within the VAST AI Operating System. Among the first to embrace this strategy is CACEIS, one of Europe's largest asset servicing firms. In collaboration with VAST and NVIDIA, CACEIS is exploring a real-time AI platform concept designed to securely capture, transcribe, and analyze 100% of client meetings. The vision is for the system to instantly generate meeting minutes, surface actionable insights, and deliver anonymized trend data — all seamlessly integrated into their sovereign CRM. With an end-to-end security model at its foundation, the platform is being designed to safeguard client privacy and data integrity while continuously evolving through every interaction. 'AI will be a game-changer, highlighting trends in current needs by analysing meeting reports so we can better serve clients,' said Arnaud Misset, Chief Digital Officer, CACEIS. Using VAST's AgentEngine that leverages the NVIDIA AI-Q Blueprint, CACEIS is developing a platform proof of concept that would enable AI agents to assist relationship managers in real time and help uncover new business opportunities. Built by NVIDIA NeMo microservices and the NVIDIA data flywheel blueprint, the envisioned CACEIS AI factory would continuously capture data and insights from every customer interaction. These feedback loops are intended to drive ongoing model refinement and training, allowing the system to improve and adapt with each meeting. As AI agents learn from one another and from human counterparts, this concept sets the stage for new ideas, collective intelligence, and enterprise-wide knowledge sharing to take shape. This capability was showcased during NVIDIA's Kari Briski's presentation at GTC Europe in Paris. Watch the demo replay here. This collaboration signals a broader shift in enterprise AI, from one-size-fits-all models to dynamic ecosystems of intelligent agents that continuously fine-tune, collaborate, and generate new ideas from their own data and interactions. Managing these agents at scale requires fine-grained security, governance, and access controls to ensure they operate safely and within defined boundaries. It also demands scalable, dynamic infrastructure capable of handling the varied and unpredictable demands of AI agents as they interact with diverse data tools and services. The VAST AI Operating System provides this real-time data infrastructure, along with compute orchestration, QoS tools that enforce fairness as different agents run within the environment, and a security framework to refine intelligence and operationalize AI innovation in a secure, scalable, and adaptive system. 'Data flywheels leverage each interaction with an AI agent to continuously improve system intelligence and value,' said Kari Briski, Vice President of Generative AI Software at NVIDIA. 'CACEIS is an exemplary pioneer with a vision of building an agentic AI data flywheel with NVIDIA and VAST to supercharge productivity for financial services in Europe.' Additional Resources: ? VAST + NVIDIA ? DEMO: AI Agents Unlocked: CACEIS Redefines Client Conversations With VAST Data and NVIDIA ? NVIDIA BLOG: Chat with Your Enterprise Data: Open-Source AI-Q NVIDIA Blueprint Puts Institutional Knowledge at Your Fingertips ? NVIDIA BLOG: Sovereign AI Agents Think Local, Act Global With NVIDIA AI Factories ? NVIDIA BLOG: Build Efficient AI Agents Through Model Distillation With NVIDIA's Data Flywheel Blueprint
TECHx
16-06-2025
- Business
- TECHx
VAST Data Unveils AI OS to Power Evolving AI Agents
Home » Tech Value Chain » Global Brands » VAST Data Unveils AI OS to Power Evolving AI Agents VAST Data, the AI Operating System company, has announced a complete data and compute platform that enables continuous AI intelligence evolution. The VAST AI OS, integrated with NVIDIA AI Enterprise and NeMo microservices, powers a self-optimizing AI flywheel. This creates a unified environment where AI pipelines can learn, adapt, and improve at scale. The platform delivers: A converged software solution for data management, database services, and AI compute orchestration. AgentEngine, a tool offering feedback by mapping complex agent-data interactions through production logs. This approach allows enterprises to identify and adjust key performance elements, boosting model accuracy and learning speed. Jeff Denworth, Co-Founder of VAST Data, said the solution supports businesses building 'thinking machines' that fine-tune in real time and collaborate to generate new outcomes. By integrating NVIDIA's software and hardware within the VAST AI OS, the company enables customers to manage AI agents and data with security, governance, and service tools. As AI moves into real-time, always-on infrastructure, enterprises require systems that evolve with each data point while addressing security and governance for decentralized pipelines and agent interactions. This collaboration enables automated AI workflows from ingestion to inference and retraining within the VAST AI Operating System. CACEIS, one of Europe's largest asset servicing firms, is among the first adopters. In partnership with VAST and NVIDIA, it is exploring a real-time AI platform that: Captures and analyzes 100% of client meetings. Instantly generates meeting minutes and insights. Integrates anonymized data into a secure CRM. The platform features an end-to-end security model to protect privacy and ensure data integrity. CACEIS is also using VAST's AgentEngine with NVIDIA AI-Q Blueprint to develop AI agents that support relationship managers and reveal business opportunities. These agents will use NeMo microservices to refine models through continuous feedback and shared intelligence. Kari Briski, Vice President of Generative AI Software at NVIDIA, showcased this capability at GTC Europe in Paris. The demo highlighted the role of data flywheels in enhancing system intelligence. Briski stated that CACEIS is a pioneer in building agentic AI systems with NVIDIA and VAST to boost productivity in financial services. VAST Data's solution represents a shift from static models to dynamic AI ecosystems. These systems require scalable infrastructure and strict governance to support evolving intelligent agents across enterprise environments.
CNBC
10-06-2025
- Business
- CNBC
40. VAST Data
Founders: Renen Hallak (CEO), Jeff Denworth, Shachar Fienblit, Alon HorevLaunched: 2016Headquarters: New York CityFunding: $381 millionValuation: $9.1 billionKey Technologies: Artificial intelligence, deep neural networks/deep learning, explainable AI, generative AI, machine learningIndustry: Enterprise technologyPrevious appearances on Disruptor 50 list: 0 Software company VAST Data has an ambitious goal: It wants to redefine the data infrastructure stack for generative AI from the ground up. The company has rapidly become a disruptive force in enterprise storage and data computing, evolving from a startup with a flash storage concept into a full-fledged platform. In April, VAST Data platform was expanded to be fully integrated into Google Cloud, which allows customers to tap into its training, retrieval-augmented generation (RAG), inference, and analytics capabilities, allowing users to better access, move, manage and protect structured and unstructured data. "This collaboration represents a leap forward for organizations pushing the boundaries of what's possible with AI," VAST Data founder and CEO Renen Hallak said in a release. This is just one of a number of partnerships with major tech players. VAST released InsightEngine, a real-time AI retrieval application it developed with Nvidia. The app makes data instantly searchable and actionable for AI-driven applications and uses Nvidia's NIM microservices. "By unifying all elements of the AI retrieval pipeline into an enterprise data foundation, VAST Data InsightEngine with Nvidia is the industry's first solution to provide a universal view into all of an enterprise's structured and unstructured data to achieve advanced AI-enabled decision-making," VAST Data co-founder Jeff Denworth said in a release. VAST unites data management on its platform as an AI infrastructure enabler, which lets companies increase their data inputs and computation-intensive workloads. The company, which currently holds 50 patents, focuses on three types of businesses: high-performance computing including research institutions, AI cloud/model builders, and enterprise. Users include Cisco, Equinix, Supermicro and ServiceNow. It is also the data platform behind Elon Musk's xAI's Colossus cluster, the largest massive AI supercomputer in the world, located in Memphis, Tenn. Because its system can be used for the entire AI data lifecycle, it also opens it up to many competitors. Storage vendors like Pure Storage and Dell EMC offer similar services, in addition to data lakehouse and data fabric providers such as Snowflake and fellow Disruptor Databricks. Still, the company is bullish on the need for AI in the future. As of 2024, 78% of companies said they used AI in at least one functionality in their business, according to McKinsey. To further optimize growth, VAST has added Amy Shapero as its first CFO, who previously scaled Shopify's revenue from $700 million to $6 billion in just five years.
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
