Latest news with #NVIDIANeMoRetriever
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.
Techday NZ
20-05-2025
- Business
- Techday NZ
NetApp partners with NVIDIA to boost AI data storage in Australia
NetApp has entered a strategic partnership with NVIDIA to support the NVIDIA AI Data Platform reference design in NetApp AIPod solutions, aiming to help Australian enterprises and government agencies improve their data infrastructure for artificial intelligence applications. This partnership is designed to address the challenges faced by organisations in managing fragmented data environments, a barrier to adopting AI technologies. NetApp AIPod deployments built on the NVIDIA AI Data Platform will aim to provide secure, governed, and scalable data pipelines for retrieval-augmented generation (RAG) and inference tasks. According to NetApp, a recent Data Complexity report found that 79 percent of technology and business leaders believe that unifying their data estates is critical for attaining top AI outcomes by 2025. The partnership is positioned as a response to this need, supporting enterprises in breaking down data silos across both cloud and on-premises environments. Sandeep Singh, Senior Vice President and General Manager of Enterprise Storage at NetApp, said, "A unified and comprehensive understanding of business data is the vehicle that will help companies drive competitive advantage in the era of intelligence, and AI inferencing is the key. We have always believed that a unified approach to data storage is essential for businesses to get the most out of their data. The rise of agentic AI has only reinforced that truly unified data storage goes beyond just multi-protocol storage. Businesses need to eliminate silos throughout their entire IT environment, whether on-premises and in the cloud, and across every business function, and we are working with NVIDIA to deliver connected storage for the unique demands of AI." The integrated solution incorporates NVIDIA accelerated computing to run NVIDIA NeMo Retriever microservices, connecting these processing nodes to scalable storage via NetApp's platform. This enables customers to scan, index, classify, and retrieve large quantities of documents in real time, supporting more accurate and effective AI agents that can undertake complex, multi-step tasks in enterprise settings. Rob Davis, Vice President of Storage Technology at NVIDIA, commented, "Agentic AI enables businesses to solve complex problems with superhuman efficiency and accuracy, but only as long as agents and reasoning models have fast access to high-quality data. The NVIDIA AI Data Platform reference design and NetApp's high-powered storage and mature data management capabilities bring AI directly to business data and drive unprecedented productivity." The NVIDIA AI Data Platform is designed to align with NetApp's approach to advanced data management by making use of continuously updated metadata and vectorisation. This facilitates the delivery of timely, relevant, and accurate results in AI queries, supporting industries where data governance and security are particularly important. The solution is being positioned for government agencies and highly regulated sectors in Australia, where the management of secure and governed data access is frequently a requirement. This, according to NetApp, will help these organisations prepare their data environments and infrastructure for current and future AI initiatives. NetApp's collaboration with NVIDIA is part of its broader intent to supply enterprise-grade infrastructure that supports advanced use cases and the operational scaling of AI across business functions. With the increasing adoption of AI by enterprises addressing complex challenges, the partnership aims to ensure that the necessary storage, data management, and computational resources are available in the Australian and New Zealand markets.
Channel Post MEA
22-03-2025
- Business
- Channel Post MEA
IBM and NVIDIA Expand Collaboration to Accelerate AI at Scale
IBM has announced new collaborations with NVIDIA, including planned new integrations based on the NVIDIA AI Data Platform reference design to help enterprises more effectively put their data to work to help build, scale and manage generative AI workloads and agentic AI applications. As part of today's news, IBM is planning to launch a content-aware storage capability for its hybrid cloud infrastructure offering, IBM Fusion; intends to expand its watsonx integrations; and is introducing new IBM Consulting capabilities with NVIDIA to help drive AI innovation across the enterprise. A 2024 IBM report found that more than three in four executives surveyed (77 percent) say generative AI is market-ready, up from just 36 percent in 2023. With this push to put AI into production comes an increased need for compute and data-intensive technologies. The collaboration between IBM and NVIDIA will enable IBM to provide hybrid AI solutions that take advantage of open technologies and platforms while also supporting data management, performance, security, and governance. Leveraging the NVIDIA AI Data Platform reference architecture, these new solutions are the latest in the IBM and NVIDIA collaboration to build enterprise infrastructure for AI: Augmenting Unstructured Data Processing for AI Performance : With IBM's new content-aware storage (CAS) capability, enterprises will be able to extract the meaning hidden in their rapidly growing volumes of unstructured data for inferencing, without compromising trust and safety, to responsibly scale and enhance AI applications like retrieval-augmented generation (RAG) and AI reasoning. IBM Storage Scale will respond to queries using the extracted and augmented data, speeding up the communications between GPUs and storage using NVIDIA BlueField-3 DPUs and NVIDIA Spectrum-X networking. The multimodal document data extraction workflow will also leverage NVIDIA NeMo Retriever microservices, built with NVIDIA NIM. CAS will be embedded in the next update of IBM Fusion planned for the second quarter of this year. : With IBM's new content-aware storage (CAS) capability, enterprises will be able to extract the meaning hidden in their rapidly growing volumes of unstructured data for inferencing, without compromising trust and safety, to responsibly scale and enhance AI applications like retrieval-augmented generation (RAG) and AI reasoning. IBM Storage Scale will respond to queries using the extracted and augmented data, speeding up the communications between GPUs and storage using NVIDIA BlueField-3 DPUs and NVIDIA Spectrum-X networking. The multimodal document data extraction workflow will also leverage NVIDIA NeMo Retriever microservices, built with NVIDIA NIM. CAS will be embedded in the next update of IBM Fusion planned for the second quarter of this year. Enabling More Accessible AI : IBM plans to integrate its watsonx offerings with NVIDIA NIM as part of a larger effort to provide access to leading AI models across multiple cloud environments. This will allow organizations to leverage IBM's enterprise-grade AI platform and developer studio, to develop and deploy AI models into their applications of choice while utilizing externally hosted models. IBM's also allows enterprises to implement robust monitoring and governance of NVIDIA NIM microservices across any hosting environment. This type of interoperability is increasingly essential as organizations adopt agentic AI and other advanced applications that require AI model integration. : IBM plans to integrate its watsonx offerings with NVIDIA NIM as part of a larger effort to provide access to leading AI models across multiple cloud environments. This will allow organizations to leverage IBM's enterprise-grade AI platform and developer studio, to develop and deploy AI models into their applications of choice while utilizing externally hosted models. IBM's also allows enterprises to implement robust monitoring and governance of NVIDIA NIM microservices across any hosting environment. This type of interoperability is increasingly essential as organizations adopt agentic AI and other advanced applications that require AI model integration. Increasing Support for Compute-Intensive Workloads : With more enterprises embracing generative AI and high-performance computing (HPC), IBM Cloud expanded its NVIDIA accelerated computing portfolio by announcing the availability of NVIDIA H200 instances on IBM Cloud. With its large memory capacity and high bandwidth, the NVIDIA H200 Tensor Core GPU instances are engineered to meet the demands of modern AI workloads and larger foundation models. : With more enterprises embracing generative AI and high-performance computing (HPC), IBM Cloud expanded its NVIDIA accelerated computing portfolio by announcing the availability of NVIDIA H200 instances on IBM Cloud. With its large memory capacity and high bandwidth, the NVIDIA H200 Tensor Core GPU instances are engineered to meet the demands of modern AI workloads and larger foundation models. Transforming Processes with Agentic AI and NVIDIA: IBM Consulting is introducing AI Integration Services to help clients transform and govern end-to-end business processes with agentic AI using NVIDIA Blueprints, such as industry-specific workflows that require agentic AI at the edge. Example use cases include autonomous inspection and maintenance in the manufacturing industry or proactive video data analysis and anomaly response in the energy industry. IBM Consulting is introducing AI Integration Services to help clients transform and govern end-to-end business processes with agentic AI using NVIDIA Blueprints, such as industry-specific workflows that require agentic AI at the edge. Example use cases include autonomous inspection and maintenance in the manufacturing industry or proactive video data analysis and anomaly response in the energy industry. Optimizing Compute Intensive AI Workloads Across Hybrid Cloud Environments: IBM Consulting helps clients build, modernize and manage compute-intensive AI workloads across hybrid cloud environments leveraging RedHat OpenShift and NVIDIA AI. This includes technologies like NVIDIA AI Foundry, NVIDIA NeMo, NVIDIA AI Enterprise, NVIDIA Blueprints, and NVIDIA Clara to accelerate high-compute, complex tasks, while managing AI governance, data security and compliance requirements. 'IBM is focused on helping enterprises build and deploy effective AI models and scale with speed,' said Hillery Hunter , CTO and General Manager of Innovation, IBM Infrastructure. 'Together, IBM and NVIDIA are collaborating to create and offer the solutions, services and technology to unlock, accelerate, and protect data – ultimately helping clients overcome AI's hidden costs and technical hurdles to monetize AI and drive real business outcomes.' 'AI agents need to rapidly access, fetch and process data at scale, and today, these steps occur in separate silos,' said Rob Davis , vice president, Storage Networking Technology, NVIDIA. 'The integration of IBM's content-aware storage with NVIDIA AI orchestrates data and compute across an optimized network fabric to overcome silos with an intelligent, scalable system that drives near real-time inference for responsive AI reasoning.' 0 0
TECHx
20-03-2025
- Business
- TECHx
Cohesity Enhances Gaia with AI for On-Premises Data Security - TECHx Media Cohesity Enhances Gaia with AI for On-Premises Data Security
Cohesity Enhances Gaia with AI for On-Premises Data Security Cohesity, an AI-powered data security firm, is expanding its Cohesity Gaia platform to offer one of the industry's first AI search capabilities for backup data stored on-premises. This solution will be available for use with Cisco UCS, Hewlett Packard Enterprise (HPE), and Nutanix. The expansion enables enterprises to unlock the full potential of their on-premises backup data and gain AI-powered insights, enhancing data management. As hybrid cloud strategies become more prevalent, many enterprises prefer to keep critical data on-premises to meet security, compliance, and performance requirements. By extending Cohesity Gaia to on-premises environments, enterprises can gain access to high-quality data while maintaining full control over their infrastructure. Johnny Karam, Managing Director and Vice President, International Emerging Markets at Cohesity, emphasized the importance of secure AI-driven insights in the UAE's rapidly evolving digital transformation landscape. '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 securely harness AI insights while staying in control of their data,' Karam said. 'Cohesity Gaia's expansion to on-premises environments will empower sectors like government, finance, and healthcare to innovate while ensuring compliance with the nation's data security frameworks.' The solution leverages NVIDIA accelerated computing and the NVIDIA AI Enterprise software platform, including NVIDIA NIM microservices and NVIDIA NeMo Retriever. This collaboration brings generative AI to data backups and archives, helping enterprises unlock new levels of efficiency, insight, and growth. Pat Lee, Vice President of Strategic Enterprise Partnerships at NVIDIA, noted, 'Access to data is essential for building advanced AI systems, including agentic AI. Integrating NVIDIA NIM microservices and NeMo Retriever into Cohesity Gaia allows enterprises to leverage AI insights while ensuring data security and accessibility.' Key benefits of Cohesity Gaia's on-premises solution include: Complete control and security – Enterprises retain full control over backup data while using AI to gain insights. – Enterprises retain full control over backup data while using AI to gain insights. High-performance AI – Powered by NVIDIA accelerated computing for speed, accuracy, and efficiency. – Powered by NVIDIA accelerated computing for speed, accuracy, and efficiency. Multi-lingual indexing – Enabling global enterprises to search and analyze data in multiple languages. – Enabling global enterprises to search and analyze data in multiple languages. Customizable and scalable infrastructure – Tailoring the data intelligence environment to specific business needs. – Tailoring the data intelligence environment to specific business needs. Reference architectures – A prescriptive approach for deploying the solution across various hardware platforms. – A prescriptive approach for deploying the solution across various hardware platforms. Pre-packaged on-premises LLMs – Eliminating the need for backup data to be transferred to the cloud. – Eliminating the need for backup data to be transferred to the cloud. Optimized architecture – Efficient searches of petabyte-level data. JSR Corporation, an international research and manufacturing company, is evaluating the solution. Ryan Reed, Head of IT at JSR Corporation, stated, 'With our global research centers, using generative AI to analyze years of data will accelerate our research. Cohesity's on-premises AI solution, leveraging NVIDIA AI, makes that possible.' Cohesity is working with industry leaders Cisco, HPE, and Nutanix to bring Gaia to enterprises worldwide. Cohesity Gaia will be validated and deployed on Cisco AI PODs, HPE Private Cloud AI, and other solutions, ensuring easy adoption with scalable, future-ready deployment options. Cohesity Gaia for on-premises environments is expected to be available in mid-2025. To learn more, visit the official blog or see a demonstration at NVIDIA GTC, booth 2012. Additionally, Cohesity and NVIDIA will host a Tech Insights session on March 18 at 9 a.m. Pacific to discuss AI in the enterprise, security, and critical gaps.
