Qumulo Launches NeuralCache Predictive Caching Solution

Qumulo Inc. announced the launch of its NeuralCache, a predictive caching solution designed to supercharge data performance for AI-driven enterprise applications and critical line-of-business workloads.

Integrated into Qumulo’s Cloud Data Fabric, this technology leverages an ensemble of AI and ML models to dynamically optimize RW caching, delivering unparalleled efficiency and scalability across both cloud and on-premises environments.

“The Qumulo NeuralCache redefines how organizations manage and access massive datasets, from dozens of petabytes to exabyte-scale, by adapting in real-time to multi-variate factors such as users, machines, applications, date/time, system state, network state, and cloud conditions,” said Kiran Bhageshpur, CTO, Qumulo. “This predictive model-based caching system enhances application performance, reduces latency, while ensuring data consistency, making it a game-changer for industries relying on data-intensive workflows, including AI research, media production, healthcare, pharmaceutical discovery, exploratory geophysics, space and orbital telemetry, national intelligence, and financial services.”

One of Qumulo’s 1st NeuralCache users, Carbon VFX, is a full-service creative studio specializing in visual effects, motion graphics, and design.

“With NeuralCache, everything just works like it’s supposed to – no more additional configuration or monitoring of cache policies, and no more cold start delays,” said Jeff Drury, director, IT, Carbon VFX. “Before NeuralCache, our artists would expect things to be slow every morning while the system cached the data. Now, they just sit down and get to the creative work. Qumulo allows us to scale to our needs versus completely overbuilding a solution in order to keep pace with the speed of our artists and complexity of their workload, saving us time, costs, and frustration. It just works.”

Key Features and Benefits of the Qumulo NeuralCache

• Dynamic Predictive Tuning: Using an ensemble of supervised AI/ML models, NeuralCache continuously tunes itself based on real-time data patterns. Each cache hit or miss refines the model, improving efficiency and performance as more users, machines, and AI agents interact with it.
• Cost Efficiency in Hybrid Cloud: The system intelligently stacks and combines object writes, minimizing API charges in public cloud environments while optimizing I/O read/write cycles for on-premises deployments—delivering significant cost savings without compromising durability or latency.
• Scalability for Massive Datasets: Thriving at scales of 25PB and beyond, NeuralCache excels with applications handling exabyte-sized datasets, learning and improving as data volume and workload complexity grows.
• Consistency and Correctness: Fully integrated into Qumulo’s filesystem – built from the ground up for strict consistency – NeuralCache automatically propagates changed data blocks in response to any write across the Cloud Data Fabric. This ensures that users, machines, and AI agents always access the most current data, eliminating the risk of stale information in decision-making processes, whether human-guided or autonomously executed.
• Turbocharge Application Performance: By anticipating data needs and prefetching with precision, NeuralCache accelerates critical workloads, from enterprise AI applications to line-of-business systems

Availability and Next Steps
NeuralCache is available as part of Qumulo’s latest software release and is seamlessly integrated into the firm’s Cloud Data Fabric. Existing customers can upgrade to leverage this capability with no downtime, while new customers can explore its benefits by contacting the company’s team for a demo.

Resource:
Webinar: Qumulo’s upcoming Q-Connect webinar on April 17, 2025, to see NeuralCache in action alongside industry experts and customer success stories. (registration required)