Three Announcements at Cisco Live 2026 That Define the Next Chapter for Qumulo and Cisco
In nearly every conversation I have with our customers, three themes now dominate the agenda. Ransomware has become a board-level concern that endpoint protection and backup recovery alone cannot solve. The flash and memory markets have been structurally reshaped by hyperscaler AI buildout, pushing component pricing up by as much as 400 percent and extending procurement lead times past six months. And the central economic problem in enterprise AI is no longer where to source GPUs. It is the fact that massive amounts of GPUs already provisioned sit idle, waiting for data to arrive.
These are not three separate stories. They are three faces of the same market transition. The center of gravity in enterprise computing has shifted to the data itself. The infrastructure that defines the next decade will be the infrastructure that treats data as a living, distributed, intelligent asset rather than as inventory parked behind an array.
That conviction is the reason Qumulo is at Cisco Live in Las Vegas this week with three announcements that, taken together, articulate where the partnership between our two companies is heading. Each one is meaningful on its own. Together, they describe a coordinated response to the most pressing problems in enterprise infrastructure today.
Stopping Ransomware Where It Actually Strikes
The first announcement is Qumulo NeuralProtect. For two decades, the security industry has built its ransomware strategy around two pillars: endpoint detection and backup recovery. Both are necessary. Neither is sufficient. By the time an endpoint signal arrives or a backup is restored, the attacker has already had hours or days to encrypt live production data.
NeuralProtect inspects every file at the point of write. It combines a deterministic engine for known malware variants, a statistical engine for zero day attacks, and a temporal engine for the slow, partial encryption campaigns that today routinely defeat entropy based detection. The result is real time prevention at the storage layer with a false positive rate below one in ten thousand.
What makes this strategically important, however, is what happens when NeuralProtect is paired with Cisco Hypershield and Splunk. Storage intelligence informs network enforcement, and network telemetry flows back into the security operations workflow through OpenTelemetry. The compromised session is terminated, the host is quarantined, the defensive snapshot is taken, and the security operations team receives the forensic context to respond in seconds rather than hours. That is not a feature. That is an architecture, and it is the architecture our customers have been asking the industry to deliver for the better part of a decade.
A Bridge to the Cloud Instead of a Forced Migration
The second announcement responds directly to the component pricing shift I described at the outset. Enterprises trying to refresh their all flash arrays are facing prices and lead times that simply do not pencil. The alternative offered by legacy storage vendors, extended support contracts that can exceed 150 percent of original system price for a single additional year, is not a strategy. It is a tax on customers caught between two markets.
Cloud Native Qumulo Enterprise on Cisco Unified Computing System, connected through the Qumulo Cloud Data Fabric, gives our customers a different path. Workloads extend seamlessly into AWS, Azure, Google Cloud, or Oracle Cloud Infrastructure without application refactoring, without disruptive migration timelines, and without sacrificing the on premises foundation that already works. Users and applications never realize the cluster has been extended. The full dataset becomes available wherever it needs to be, and our NeuralCache and Cisco networking ensure performance remains indistinguishable from local.
I want to be clear about the philosophy behind this design. We are not asking customers to rip and replace. We are giving them a bridge, and the bridge runs in both directions. Workloads can move out and they can come back. That kind of optionality is what enterprise leaders need when the procurement cycle has become unpredictable and the technology roadmap has not.
GPU Liquidity and the End of Data Gravity
The third announcement, Qumulo Cloud AI Accelerator, addresses what I believe will be remembered as the defining infrastructure problem of this AI cycle. The industry has spent two years debating GPU scarcity. The real story is GPU idleness. The Cast AI 2026 State of Kubernetes Optimization report puts average enterprise GPU utilization at five percent. The cause is not compute. The cause is data gravity. Datasets must be staged, replicated, and moved into the same region and the same cluster as the accelerators before any work begins, and the expensive GPU meter runs the entire time.
Cloud AI Accelerator inverts that model. By combining Cloud Native Qumulo, Cloud Data Fabric, and NeuralCache, we present any enterprise dataset to any GPU farm in any cloud, in real time, without copying, without staging, and without compromising consistency. We integrate with zero copy into Microsoft AI Foundry, AWS Bedrock, and Google Vertex AI. Cisco UCS and Cisco networking provide the compute and connectivity foundation that makes the architecture run at enterprise scale.
The economic concept we are introducing with this launch is GPU liquidity. When GPU capacity becomes available in a new region, our customers can capture it in minutes rather than weeks. GPU sourcing becomes a scheduling decision rather than a logistics project. That is a fundamentally different operating model for enterprise AI, and the economics of this market now demand it.
What This Means for Our Customers
I have been in this industry long enough to recognize when a set of announcements is genuinely connected rather than merely simultaneous. These three are connected. Protected data at the source. A bridge that moves workloads into the cloud without disrupting the business. Real time access to that data from any GPU in any cloud. The thread that runs through all three is the same thread that runs through our partnership with Cisco. Our customers deserve an infrastructure that gives them flexibility without forcing trade offs on security, performance, or operational continuity.
I am proud of the work our team has done with the team at Cisco to bring this architecture to market. I am even more proud of the customers who pushed us to build it. They told us what they needed and we listened. The future of enterprise infrastructure will be defined by companies that can deliver three things at once. Security woven into the data layer. Hybrid operations that move at the pace of the business. AI infrastructure that turns compute scarcity into compute liquidity.
Any Data. Any Location. Total Control. That is the promise. This week in Las Vegas, we are delivering on it.
