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Qumulo and Cisco Help Enterprises Bridge the Flash Crunch with Cloud-Ready Data Architecture, Podcast
Qumulo and Cisco Launch Bridge-to-Cloud Architecture to Help Enterprises Beat the Flash Crunch at Cisco Live 2026 By Doug Green “Capacity extends to the cloud instantly. Users and applications never know that the systems have been extended into the cloud.” At Cisco Live 2026, Doug Green spoke with Brandon Whitelaw of Qumulo about the company’s new Bridge-to-Cloud architecture with Cisco, a solution designed to help enterprises respond to one of the most urgent infrastructure challenges of the AI era: fast-growing data workloads, constrained flash supply, longer hardware lead times and rising demand for high-performance storage. Qumulo describes itself as an accelerated data company. In the podcast, Whitelaw explains that Qumulo helps organizations store and manage mission-critical file and object data across data centers, edge environments and the major public clouds. The goal is to unify those datasets into a consistent, AI-enabled data fabric that can support both today’s high-performance applications and tomorrow’s AI pipelines. Qumulo’s customers include autonomous driving companies, media and entertainment organizations, special effects shops, sports broadcasters, life sciences organizations, genomic research teams, hospitals, public sector agencies and government entities. The common thread is data: large, high-capacity, high-performance datasets that must be available, protected and ready for use. The Cisco announcement focuses on Cloud Native Qumulo Enterprise combined with Cisco Unified Computing System through Qumulo’s Cloud Data Fabric. The solution is designed to let enterprises extend file workloads from on-premises Cisco UCS infrastructure into the cloud without forcing a disruptive migration, application refactoring or a rebuild of existing workflows. For enterprise IT teams, the problem is practical. AI infrastructure demand is reshaping the market for memory and NVMe systems, creating pressure on traditional capacity planning. Instead of waiting months for new hardware or overprovisioning all-flash systems, Qumulo and Cisco are offering a bridge: keep trusted on-premises infrastructure in place while extending selected workloads into the cloud as needed. Whitelaw says the architecture gives enterprises a way to free up on-premises infrastructure for the most critical applications, while using cloud capacity to handle growth, burst demand and AI-readiness. The result is a hybrid model that is not simply about cloud migration. It is about operational flexibility. The solution also positions enterprise data for AI and analytics. Qumulo says CNQ Enterprise includes Cloud Data Fabric and NeuralProtect and can run on Cisco UCS on-premises as well as across AWS, Azure, Google Cloud and Oracle Cloud Infrastructure. The architecture is intended to make enterprise datasets available for AI pipelines into services such as Microsoft AI Foundry, AWS Bedrock and Google Vertex AI. For Cisco partners, service providers and enterprise IT teams, the message from the podcast is clear: hybrid cloud is becoming a pressure-release valve for data infrastructure. The Bridge-to-Cloud model offers a way to gain capacity relief, preserve application continuity, support elastic scale and prepare data for AI without forcing customers into a disruptive replatforming project. Qumulo CNQ Enterprise is available now for deployment on Cisco UCS on-premises infrastructure and across AWS, Azure, Google Cloud and OCI. It is also available through Cisco for simplified enterprise procurement. Qumulo is exhibiting at booth 4018 at Cisco Live 2026 in Las Vegas. Learn more at: https://qumulo.com/product/cisco/
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