Qumulo Offers New Tools for Faster AI Data Handling

Qumulo's new tools aim to speed up AI data handling. This is important for businesses using AI, as data management is becoming more complex.
By Newsroom | Technology, Business |

Qumulo, a player in the unstructured data storage arena, has recently put forth new offerings, Helios, Cloud AI Accelerator, and AI Networking. These are presented as tools to help enterprises navigate the escalating challenges of data movement, analysis, and scaling, particularly within high-compute environments. The Cloud AI Accelerator is reportedly built to integrate with major cloud providers, including AWS, Azure, Google Cloud, and Oracle Cloud, aiming to bolster workloads for AI training and inference, alongside video rendering and scientific simulations.

The company highlights its platform's capacity to manage petabyte-scale volumes of data, encompassing billions of files across on-premises, edge, and cloud locations.

The AI Networking components are described as high-speed data transfer protocols specifically tuned for environments heavily reliant on GPUs. Support for protocols like RDMA, RoCEv2, and NFS over RDMA is cited, with S3 over RDMA anticipated. This push comes as Qumulo was recognized with a "Future's Best of Show" award at NAB 2026, acknowledging its role in managing large-scale, AI-driven media workflows within hybrid cloud setups.

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Qumulo's approach is characterized as a "software-defined" data platform, a departure from more traditional network-attached storage (NAS) systems. This software focus is intended to provide greater visibility into file system activities through real-time analytics. The company frames its solutions as particularly relevant for organizations grappling with the rapid expansion of unstructured file data, which has reportedly outpaced conventional datasets.

Recent partnerships and validations, such as those with Supermicro, suggest an effort to offer integrated hardware and software solutions. These collaborations aim to simplify the deployment of Qumulo across various IT infrastructures, including on-premises and private cloud configurations, with a range of Supermicro hardware options available. The company's stated mission involves unifying file, object, and various workloads from the edge to the core and into the cloud, enabling what it terms "data freedom and control" for demanding applications like large-scale AI, real-time video analytics, medical imaging, and autonomous driving pipelines.

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Frequently Asked Questions

Q: What new tools has Qumulo launched for AI?
Qumulo has launched Helios, Cloud AI Accelerator, and AI Networking. These tools are designed to help businesses manage and move data faster for AI tasks.
Q: How do Qumulo's new tools help businesses with AI?
The Cloud AI Accelerator works with major cloud providers to speed up AI training and other demanding tasks. AI Networking uses fast data transfer methods for GPU-heavy systems.
Q: What kind of data can Qumulo's platform handle?
Qumulo's platform can manage very large amounts of data, like petabytes, with billions of files. It works for data stored in company buildings, at the edge, and in the cloud.
Q: Why are Qumulo's new solutions important for businesses?
These solutions are important because they help organizations deal with the fast growth of unstructured data, which is common in AI and other advanced applications. They offer more control and speed for data operations.