Qumulo Uses ML to Lower Cost of Editing Uncompressed 4K and 6K Video

Leveraging the latest machine learning software Qumulo now delivers intelligent performance capabilities that are transforming the media and entertainment industry, lowering the economics of video editing, visual effects and video distribution. New machine learning capabilities ensure that editors can effortlessly access uncompressed 4K with hybrid storage and 6K video using all flash NVMe storage.

Qumulo offers the only storage system designed to cost-effectively manage the volume and geographic dispersion of today’s technology, both on-premise and in the public cloud. Qumulo offers the freedom to store, manage and access their file-based data in any operating environment, at petabyte and global scale.

These new performance capabilities liberate film and video production studios from the limitations of legacy storage networks. With such high-performance centralized uncompressed 4K and 6K video playback solutions, studios can eliminate costly SANs, client-side software, HBAs, and fibre channel switches and cabling, which allows the transition to 100 percent ethernet environments with all-flash storage. 

The latest storage performance improvements include:

Qumulo All Flash P-Series sets a new standard: 6K video playback using machine learning and state-of-the-art NVMe drives. A single 92TB cluster offers 18GB per second throughput, featuring 200,000 input / output operations per second (IOPS) from a four-node cluster. 

Qumulo Hybrid QC-Series provides an all flash performance on a hybrid platform. This represents the industry’s first scale-out NAS support of centralized uncompressed 4K video playback. Until now, all-flash storage was required to reach this high level of performance.

Qumulo File Fabric (QF2) powerful features include:

●Pre-fetch Intelligence. Machine learning-powered pre-fetch anticipates and queues up the files that users will most likely access next, whether it be a sequence of files by name or simply a traversal of all files in a directory structure.

●Workload and User Awareness. Qumulo’s software can recognize workload specific behavior, even on the same cluster, specific to an individual user. This enables dynamic workload scaling to maximize cache utilization and storage efficiency.

●Proactive Caching. File access pattern analysis proactively caches individual blocks of files most likely to be repeatedly accessed.

Maximum Flexibility and Investment Protection. All platforms come with native replication directly to the public cloud

"Enterprises today need more modern storage able to flex for performance, speed and capacity demands,” said Scott Sinclair, senior analyst with ESG. “With new technology innovations coupled with advances in machine learning, Qumulo's storage solutions can help accommodate some of today’s most demanding workloads, while helping customers to take full advantage of cloud economics and scale.” 

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