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Cisco and VAST Partner on Turnkey AI Infrastructure in UAE

VAST Data has announced an expanded partnership with Cisco to provide an integrated AI infrastructure stack covering compute, networking, storage, and observability. The VAST AI Operating System is now available directly through Cisco’s Global Price List (GPL) and is supported by Cisco as part of the joint solution. This aims to simplify how enterprises implement, operate, and scale AI environments by allowing customers to procure and deploy VAST AI OS with Cisco UCS servers, Nexus switching, and Cisco Nexus Hyperfabric AI.

Together, VAST and Cisco offer a platform for building enterprise AI Factories—data-intensive AI systems at scale. The joint solution stack aims to unify data pipelines, automate infrastructure management, and process real-time data using scalable AI infrastructure.

Renen Hallak, VAST Founder and CEO, will join Jeetu Patel, Cisco President and Chief Product Officer, at Cisco Live’s Executive Symposium to discuss this partnership. The conversation will highlight how the companies are driving enterprise AI adoption and explore trends in 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 technologies from both platforms, including:

  • A Consolidated AI Infrastructure Stack: A validated, enterprise-grade platform combining Cisco’s compute and networking with the VAST AI Operating System. This aims to provide a full-stack solution for AI infrastructure that is designed for deployment, management, and scalability.
  • Integrated AI Execution with InsightEngine and AgentEngine: Customers can run end-to-end AI pipelines, including retrieval-augmented generation (RAG) and real-time reasoning, directly within VAST’s AI OS on Cisco UCS. VAST InsightEngine aims to accelerate vector search, data preparation, and inference workflows. AgentEngine orchestrates autonomous agents that operate on live data streams, enabling real-time, event-driven decision-making.
  • Unified AI Data and Compute Services: A consolidated software stack via the VAST AI Operating System that aims to simplify infrastructure by unifying structured, unstructured, and vector data management with agentic compute services. This is intended to enable real-time processing for AI applications and workflow automation.
  • Enterprise-Grade Performance and Scalability: High-performance compute with Cisco UCS and scalable, AI-optimized network fabrics via Cisco Nexus are validated to work with VAST’s Disaggregated Shared Everything (DASE) architecture. This aims to provide predictable performance across AI deployments.
  • Faster Time-to-Value with Automation: SaaS-based orchestration and lifecycle management from Cisco Nexus Hyperfabric AI, combined with VAST’s dataflows and global namespace, aim to streamline infrastructure provisioning, monitoring, and scaling across the AI pipeline.
  • Built-In Security and Multi-Tenant Readiness: A zero-trust infrastructure model combines VAST’s data governance and multi-tenant controls with Cisco’s secure platform architecture. This aims to ensure isolated environments for AI workloads across hybrid and on-prem deployments.

The VAST + Cisco solution is designed for generative and agentic AI workloads, aiming to enable customers to power data-driven applications with the performance, insight, and operational control needed for 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.”

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Chris Fernando

Chris N. Fernando is an experienced media professional with over two decades of journalistic experience. He is the Editor of Arabian Reseller magazine, the authoritative guide to the regional IT industry. Follow him on Twitter (@chris508) and Instagram (@chris2508).

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