VAST Data and Google Cloud collaborate to accelerate AI breakthroughs
Organizations building the future of AI can now harness the full power of the VAST Data Platform on Google Cloud to dynamically burst workloads to the cloud
Dubai, United Arab Emirates – VAST Data, the AI data platform company, today 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.
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.
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.
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.
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.'
About VAST Data
VAST 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 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.
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Purposefully built to enhance the efficiency and productivity of sales professionals, this CRM solution has an intuitive setup and robust capabilities. It facilitates lead generation, comprehensive sales analytics, and seamless business expansion. VISIT WEBSITE Oracle NetSuite CRM, a component of Oracle's business software suite, is for all midsize and booming businesses that want a comprehensive, integrated CRM solution with ERP capabilities. Using it, customers and partners can directly interact with the platform, freeing the additional work load for their sales team. VISIT WEBSITE Microsoft Dynamics 365 Sales represents a robust cloud-based CRM solution brimming with features such as pipeline assessment, relationship analytics, and conversational intelligence. It utilises AI-powered insights to provide actionable intelligence via predictive analytics, lead scoring and sentiment analysis. VISIT WEBSITE Less Annoying is a CRM software that utilises a straightforward search feature within its contact management system, making it easy to track contacts. It is ideal for small-sized businesses and offers a highly intuitive and user-friendly interface. VISIT WEBSITE Insightly offers CRM software solutions for enterprises looking to understand their audience data across various marketing functions. It integrates seamlessly with third-party apps, streamlining workflow automation, including bulk emailing and report generation. VISIT WEBSITE HubSpot's sleek dashboard with consolidated CRM tools simplify complex customer data, further transforming it into meaningful insights. Complementing typical CRM functionalities, HubSpot provides tailored options, including conversation intelligence and email monitoring. VISIT WEBSITE Apptivo delivers adaptable and web-based CRM solutions, enabling marketing and sales teams to streamline all customer service requirements across various devices and browsers. Despite its focused feature set, it encompasses over 65 interconnected applications alongside a robust sales pipeline management tool, ensuring efficient tracking of potential leads without any downtime. VISIT WEBSITE Sitecore offers composable cloud solutions with its flagship products, Sitecore Experience Platform(XP) and Sitecore Experience Manager (XM). They help marketers to overcome scalability challenges. Some of its features include intuitive visual editing, headless delivery, marketing automation, scalable personalisation, data and machine learning capabilities. VISIT WEBSITE Salesforce Experience Cloud is a platform that helps enterprises link clients, partners, and employees to securely exchange information and documents. Built on its Customer 360 platform, Salesforce's DXP ensures seamless integration with any solution in the Salesforce ecosystem. VISIT WEBSITE Oracle Cloud offers a comprehensive suite of platform-based marketing automation solutions for personalised B2B and B2C automation campaigns. Some of its featured products are Eloqua Marketing Automation, CrowdTwist Loyalty and Engagement, and Unity Customer Data Platform. VISIT WEBSITE Optimizely is a digital experience platform (DXP) provider that offers Optimizely One, an easy-to-use and fully integrated suite. It provides a single, unified workflow with thoughtfully embedded AI and machine-learning algorithms, accelerating work across the entire marketing lifecycle. VISIT WEBSITE OpenText offers a cloud-native, scalable platform for enterprises to streamline their marketing functions. It provides fully composable content management, digital asset management, creative workflows, personalisation, targeting and customer data technologies in one place, ensuring a holistic approach to B2B, B2E and B2C experiences. VISIT WEBSITE Neptune DXP is a PaaS(Platform-as-a-Service) provider, helping marketing teams build custom apps based on modular, reusable application building blocks. The company offers flexible environments to businesses across different verticals, further providing personalised digital solutions at scale. VISIT WEBSITE Magnolia is a composable DXP that comes with no-code connector packs and low-code micro-frameworks for third-party integrations. It also offers an open-source version alongside its commercial plans enabling enterprises to build tailored use cases. VISIT WEBSITE Liferay DXP helps marketers deliver personalised and connected digital experiences across a broad range of channels, including customer portals, websites, intranets, mobile apps, and connected devices. It offers intuitive CMS, user analytics, and site management tools that businesses need to launch, test and optimise digital experiences for faster go-to-market. VISIT WEBSITE Powered by IBM Consulting, IBM iX offers a composable DXP, providing a comprehensive solution to make enterprises' systems future-ready. Utilising its data-driven insights and intelligent workflows, marketers can design and deliver human-centred experiences across the customer lifecycle. VISIT WEBSITE HCL Digital Experience (DX), forms part of a wider HCL Customer Experience (CX) product portfolio, offering core capabilities such as content management, DAM, CDP called Signals, and low-code application development. It provides services in government, life sciences, insurance, financial services, and other verticals. VISIT WEBSITE Contentstack is a headless CMS and Composable Digital Experience Platform (DXP) solution provider that helps marketers gain a competitive edge. It recently launched into Google Cloud Marketplace, and is also available on Microsoft Azure and AWS. It seamlessly enables mid-market brands to adopt its omnichannel campaign engine to drive higher conversions and sales. VISIT WEBSITE Bloomreach Commerce Experience Cloud provides businesses an edge with its modular capabilities: Content Management System (CMS), Discovery features for search and merchandising optimisation, and Engagement tools such as Customer Data Platforms (CDP) for personalisation and analytics. VISIT WEBSITE Adobe Experience Cloud offers a comprehensive set of services specifically designed to address the day-to-day requirements for personalised customer experience at scale. Its platform helps manage different digital content and assets to improve customer satisfaction. Some of its products include Adobe Gen Studio, Experience Manager Sites, Real-time CDP, and Marketo Engage. VISIT WEBSITE Acquia offers DXP solutions, comprising of two main elements: Acquia Drupal Cloud and Acquia Marketing Cloud. It can be accessed in both platform-as-a-service (PaaS) and software-as-a-service (SaaS) with additional components such as Site Factory for multisite management, digital asset management (DAM), CDP, personalisation, and Campaign Studio. VISIT WEBSITE
Channel Post MEA
5 days ago
- Channel Post MEA
VAST Data Expand Partnership With Cisco
VAST Data has announced the expansion of its strategic partnership with Cisco to deliver a fully integrated and validated AI infrastructure stack that spans compute, networking, storage, and observability. The VAST AI Operating System is now available directly through Cisco's Global Price List (GPL) and is fully supported by Cisco as part of the joint solution – simplifying how enterprises implement, operate, and scale modern AI environments by enabling customers to seamlessly procure and deploy VAST AI OS alongside Cisco UCS servers, Nexus switching, and Cisco Nexus Hyperfabric AI. Together, VAST and Cisco provide a turnkey platform for building enterprise AI Factories – agentic, data-intensive AI systems at scale – ensuring security, performance, and operational agility from edge to core to cloud. The joint solution stack enables customers to unify data pipelines, automate infrastructure management, and reason over real-time data using scalable, zero-trust AI infrastructure. VAST Founder and CEO, Renen Hallak, will join Cisco President and Chief Product Officer Jeetu Patel on stage at Cisco Live's Executive Symposium, for a fireside chat discussing this strategic partnership. The conversation will highlight how the two companies are driving enterprise AI adoption and explore key trends shaping the future of AI-driven business. 'Cisco and VAST share a vision for making AI infrastructure accessible, secure, and scalable for every enterprise,' said Jeremy Foster, Senior Vice President and General Manager, Cisco Compute. 'We're enabling customers to collapse complexity and unlock faster time-to-value by providing a unified infrastructure stack built for the demands of AI. The joint solution integrates key technologies across both platforms, including: A Consolidated AI Infrastructure Stack: A jointly validated, enterprise-grade platform that brings together Cisco's compute and networking leadership with the industry defining VAST AI Operating System – delivering a full-stack solution for AI infrastructure that's simple to deploy, easy to manage, and built to scale from day one. Integrated AI Execution with InsightEngine and AgentEngine: Customers can now run end-to-end AI pipelines – from retrieval-augmented generation (RAG) to real-time reasoning – directly within VAST's AI OS on Cisco UCS. VAST InsightEngine accelerates vector search, data preparation, and inference workflows at the point of data, while AgentEngine takes this further by orchestrating autonomous agents that continuously operate on live data streams, enabling real-time, event-driven decision-making. These capabilities empower Cisco environments to become intelligent execution layers – turning raw data into continuous, actionable insight. Unified AI Data and Compute Services: A consolidated software stack via the VAST AI Operating System that simplifies infrastructure complexity by unifying structured, unstructured, and vector data management with agentic compute services – enabling real-time reasoning for next-gen AI applications and workflow automation at scale. Enterprise-Grade Performance and Scalability: High-performance compute with Cisco UCS and scalable, AI-optimized network fabrics via Cisco Nexus, validated to run seamlessly with VAST's Disaggregated Shared Everything (DASE) architecture – delivering predictable performance across even the largest AI deployments. Faster Time-to-Value with Turnkey Automation: SaaS-based orchestration and lifecycle management from Cisco Nexus Hyperfabric AI, combined with VAST's intelligent dataflows and global namespace, streamline infrastructure provisioning, monitoring, and scaling across the full AI pipeline. Built-In Security and Multi-Tenant Readiness: A zero-trust infrastructure model that combines VAST's native data governance and multi-tenant controls with Cisco's secure platform architecture—ensuring isolated, compliant environments for sensitive AI workloads across hybrid and on-prem deployments. A Consolidated AI Infrastructure Stack: A jointly validated, enterprise-grade platform that brings together Cisco's compute and networking leadership with the industry defining VAST AI Operating System – delivering a full-stack solution for AI infrastructure that's simple to deploy, easy to manage, and built to scale from day one. Integrated AI Execution with InsightEngine and AgentEngine: Customers can now run end-to-end AI pipelines – from retrieval-augmented generation (RAG) to real-time reasoning – directly within VAST's AI OS on Cisco UCS. VAST InsightEngine accelerates vector search, data preparation, and inference workflows at the point of data, while AgentEngine takes this further by orchestrating autonomous agents that continuously operate on live data streams, enabling real-time, event-driven decision-making. These capabilities empower Cisco environments to become intelligent execution layers – turning raw data into continuous, actionable insight. Unified AI Data and Compute Services: A consolidated software stack via the VAST AI Operating System that simplifies infrastructure complexity by unifying structured, unstructured, and vector data management with agentic compute services – enabling real-time reasoning for next-gen AI applications and workflow automation at scale. Enterprise-Grade Performance and Scalability: High-performance compute with Cisco UCS and scalable, AI-optimized network fabrics via Cisco Nexus, validated to run seamlessly with VAST's Disaggregated Shared Everything (DASE) architecture – delivering predictable performance across even the largest AI deployments. Faster Time-to-Value with Turnkey Automation: SaaS-based orchestration and lifecycle management from Cisco Nexus Hyperfabric AI, combined with VAST's intelligent dataflows and global namespace, streamline infrastructure provisioning, monitoring, and scaling across the full AI pipeline. Built-In Security and Multi-Tenant Readiness: A zero-trust infrastructure model that combines VAST's native data governance and multi-tenant controls with Cisco's secure platform architecture—ensuring isolated, compliant environments for sensitive AI workloads across hybrid and on-prem deployments. The VAST + Cisco solution is purpose-built for generative and agentic AI workloads, enabling customers to power complex, data-driven applications with the performance, insight, and operational control needed to drive business transformation. 'This partnership represents the convergence of two best-in-class platforms to create a foundational blueprint for enterprise AI,' said Renen Hallak, Founder and CEO at VAST Data. 'By aligning the VAST AI OS with Cisco's UCS and Nexus infrastructure, we're delivering the turnkey simplicity, observability, and scalability that enterprises need to deploy and manage intelligent systems globally.
TECHx
6 days ago
- TECHx
VAST Data Expands AI Partnership with Cisco
Home » Emerging technologies » Artificial Intelligence » VAST Data Expands AI Partnership With Cisco VAST Data, the AI Operating System company, has announced the expansion of its strategic partnership with Cisco. The collaboration aims to deliver a fully integrated and validated AI infrastructure stack. This stack spans compute, networking, storage, and observability. The VAST AI Operating System is now available directly through Cisco's Global Price List (GPL). It is also fully supported by Cisco as part of the joint solution. This move simplifies how enterprises implement, operate, and scale modern AI environments. As a result, customers can seamlessly procure and deploy the VAST AI OS alongside Cisco UCS servers, Nexus switching, and Cisco Nexus Hyperfabric AI. According to the companies, the joint offering supports the creation of enterprise AI Factories. These are agentic, data-intensive AI systems built for scale. The platform ensures security, performance, and operational agility from edge to core to cloud. Moreover, the solution enables customers to unify data pipelines and automate infrastructure management. It also supports real-time reasoning with scalable, zero-trust AI infrastructure. VAST Founder and CEO Renen Hallak will join Cisco President and Chief Product Officer Jeetu Patel at Cisco Live's Executive Symposium. They will host a fireside chat discussing the expanded partnership. The session will explore trends in enterprise AI adoption and future developments in AI-driven business. Jeremy Foster, SVP and GM of Cisco Compute, said the goal is to collapse complexity and deliver faster time-to-value. He stated that the companies aim to provide a unified infrastructure stack tailored for AI demands. The joint solution includes several integrated technologies: A consolidated AI stack combining Cisco's compute and networking with the VAST AI OS InsightEngine and AgentEngine for running AI pipelines, vector search, and real-time reasoning The companies reported that InsightEngine accelerates vector search, data preparation, and inference at the data point. AgentEngine extends this by orchestrating autonomous agents on live data streams. This enables real-time, event-driven decisions. They also revealed that the unified software stack simplifies infrastructure by managing structured, unstructured, and vector data together. This setup powers real-time reasoning and workflow automation at scale. The solution offers enterprise-grade performance with Cisco UCS compute and scalable Cisco Nexus network fabrics. These have been validated for seamless operation with VAST's Disaggregated Shared Everything (DASE) architecture. Cisco and VAST further reported that turnkey automation is achieved through SaaS-based orchestration via Cisco Nexus Hyperfabric AI. This works with VAST's intelligent dataflows and global namespace to streamline provisioning and scaling. Built-in security and multi-tenant readiness are also included. The infrastructure features zero-trust models, data governance, and platform security for sensitive AI workloads across hybrid and on-prem deployments. The VAST + Cisco solution is designed for generative and agentic AI workloads. It supports complex, data-driven applications with the insight and control needed for business transformation. Renen Hallak stated that this collaboration creates a foundational blueprint for enterprise AI. He added that aligning the VAST AI OS with Cisco's UCS and Nexus infrastructure delivers the simplicity, observability, and scalability enterprises need for global AI system management.
