Qumulo has announced a trio of new products designed to help organizations better manage massive amounts of unstructured data across the cloud, edge, and on-premises environments. The latest offerings include Helios, Cloud AI Accelerator, and AI Networking, all built to address the growing challenge of moving, analyzing, and scaling data in fast-paced, compute-intensive environments.
Helios
Helios is an automated monitoring agent built into Qumulo’s data platform. It works by continuously collecting information across the system (including compute, storage, and network activity) and using it to detect issues early. It can flag problems before they affect performance and suggest or carry out fixes on its own. This helps IT teams stay ahead of potential outages or bottlenecks, particularly in complex environments that span multiple locations or cloud providers.
Helios is designed to act as a kind of system-wide health check that runs in the background. It watches for unusual patterns, tracks performance trends, and provides recommendations based on real-time data. Qumulo claims it can analyze billions of events daily, making it a suitable fit for organizations with large-scale, high-traffic operations.
Cloud AI Accelerator
The second addition, Cloud AI Accelerator, focuses on enhancing the transfer of data between on-premises systems and public cloud infrastructure. Many organizations rely on cloud computing to handle AI workloads or large-scale analytics, but moving data to and from the cloud can be slow and expensive. The Cloud AI Accelerator helps solve that by using what Qumulo calls “predictive prefetching”, meaning it anticipates what data is needed and moves it at the right time, rather than waiting for a request. This reduces lag, limits unnecessary data transfers, and eliminates much of the manual work typically required to set up data pipelines.
It’s compatible with major cloud providers, including AWS, Azure, Google Cloud, and Oracle Cloud, and is built to support workloads ranging from AI training and inference to video rendering and scientific simulations.
Qumulo AI Networking
Qumulo AI Networking is a set of high-speed data transfer protocols optimized for GPU-intensive environments. It includes support for RDMA, RoCEv2, and NFS over RDMA, with S3 over RDMA coming soon. These technologies enable faster data movement between storage systems and compute nodes, which is crucial for applications that require processing large volumes of data quickly, such as genomics research, media production, or real-time analytics.
By improving the speed and efficiency with which data moves within these environments, Qumulo aims to eliminate one of the biggest obstacles to scaling modern workloads: the gap between where data is stored and where it’s processed.
Availability
The new tools are now available in preview for selected customers, with general availability expected within the next few months. Qumulo is also showing live demos at SC25, booth 4407.
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