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    <title><![CDATA[StreamingMeme — Qumulo coverage]]></title>
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    <description><![CDATA[Articles mentioning Qumulo.]]></description>
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    <lastBuildDate>Mon, 21 Sep 2026 00:00:00 GMT</lastBuildDate>
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      <title><![CDATA[ESPN deploys 20,000 square foot production center for 2026 US Open]]></title>
      <link><![CDATA[https://www.sportsvideo.org/2026/09/21/inside-espns-us-open-effort-embracing-the-cloud-and-a-new-20000-sq-ft-broadcast-center/]]></link>
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      <pubDate>Mon, 21 Sep 2026 00:00:00 GMT</pubDate>
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      <description><![CDATA[ESPN deployed a 20,000-square-foot temporary broadcast center and AWS-based cloud infrastructure to support decentralized editing for the 2026 US Open. The production utilized Qumulo storage, Signiant file transfers, and Gravity Media technical infrastructure to scale operations for record-breaking viewership.]]></description>
      <content:encoded><![CDATA[ESPN deployed a 20,000-square-foot temporary broadcast center and AWS-based cloud infrastructure to support decentralized editing for the 2026 US Open. The production utilized Qumulo storage, Signiant file transfers, and Gravity Media technical infrastructure to scale operations for record-breaking viewership.]]></content:encoded>
      <dc:creator><![CDATA[Sports Video Group]]></dc:creator>
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      <title><![CDATA[Qumulo details software-defined file system for global media production workflows]]></title>
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      <pubDate>Tue, 15 Sep 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[VIDEO_DELIVERY_AND_CDN]]></category>
      <description><![CDATA[Qumulo solutions architect Pascal Filion presented the company's software-defined file system, which aims to unify data across on-premise, edge, and cloud environments for media production. The platform leverages block-level caching and native AWS integration to support high-resolution workflows while reducing egress costs and data silos.]]></description>
      <content:encoded><![CDATA[Qumulo solutions architect Pascal Filion presented the company's software-defined file system, which aims to unify data across on-premise, edge, and cloud environments for media production. The platform leverages block-level caching and native AWS integration to support high-resolution workflows while reducing egress costs and data silos.]]></content:encoded>
      <dc:creator><![CDATA[YouTube]]></dc:creator>
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      <title><![CDATA[Colorfront integrates Transkoder with Qumulo NeuralSearch for storage-native metadata search]]></title>
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      <pubDate>Mon, 14 Sep 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[PRODUCTION_HARDWARE]]></category>
      <description><![CDATA[Colorfront has integrated its Transkoder and On-Set Dailies tools with Qumulo NeuralSearch to write camera and color metadata directly into media files via the Qumulo Core REST API. This workflow allows metadata to remain persistent and searchable across storage tiers without the need for sidecar files or external crawlers.]]></description>
      <content:encoded><![CDATA[Colorfront has integrated its Transkoder and On-Set Dailies tools with Qumulo NeuralSearch to write camera and color metadata directly into media files via the Qumulo Core REST API. This workflow allows metadata to remain persistent and searchable across storage tiers without the need for sidecar files or external crawlers.]]></content:encoded>
      <dc:creator><![CDATA[RedShark News]]></dc:creator>
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      <title><![CDATA[Colorfront and Qumulo integrate Transkoder with NeuralSearch for metadata persistence]]></title>
      <link><![CDATA[https://www.provideocoalition.com/colorfront-and-qumulo-at-ibc2026-metadata-does-not-have-to-die-in-transit/]]></link>
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      <pubDate>Fri, 11 Sep 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[VIDEO_STREAMING_PLATFORMS_AND_INFRASTRUCTURE]]></category>
      <description><![CDATA[Colorfront and Qumulo have announced a collaboration to embed on-set and AI-derived metadata directly into file objects using the Qumulo Core REST API. This integration aims to improve production efficiency by enabling natural-language and SQL queries against the filesystem to locate specific shots during editorial and VFX workflows.]]></description>
      <content:encoded><![CDATA[Colorfront and Qumulo have announced a collaboration to embed on-set and AI-derived metadata directly into file objects using the Qumulo Core REST API. This integration aims to improve production efficiency by enabling natural-language and SQL queries against the filesystem to locate specific shots during editorial and VFX workflows.]]></content:encoded>
      <dc:creator><![CDATA[ProVideo Coalition]]></dc:creator>
      <author><![CDATA[ProVideo Coalition]]></author>
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      <title><![CDATA[Qumulo Unifies AI Data Pipeline, Reducing Training Time Over 30%]]></title>
      <link><![CDATA[https://qumulo.com/use-cases/ai-and-ml]]></link>
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      <pubDate>Wed, 03 Jun 2026 02:31:00 GMT</pubDate>
      <category><![CDATA[ARTIFICIAL_INTELLIGENCE_FOR_VIDEO_APPLICATIONS]]></category>
      <description><![CDATA[Qumulo has introduced a unified data platform designed for AI and accelerated computing, which aims to eliminate data silos across edge, data center, and cloud environments without copying datasets. The solution, which maximizes GPU utilization and reduces AI training times by over 30% for frameworks like TensorFlow and PyTorch, features Qumulo NeuralCache and integrations with Amazon Q and Microsoft Copilot. It ensures data consistency and governance across various cloud and on-premise deployments, supporting enterprise AI reasoning for industries such as manufacturing, autonomous vehicles, and life sciences.]]></description>
      <content:encoded><![CDATA[Qumulo has introduced a unified data platform designed for AI and accelerated computing, which aims to eliminate data silos across edge, data center, and cloud environments without copying datasets. The solution, which maximizes GPU utilization and reduces AI training times by over 30% for frameworks like TensorFlow and PyTorch, features Qumulo NeuralCache and integrations with Amazon Q and Microsoft Copilot. It ensures data consistency and governance across various cloud and on-premise deployments, supporting enterprise AI reasoning for industries such as manufacturing, autonomous vehicles, and life sciences.]]></content:encoded>
      <dc:creator><![CDATA[Qumulo]]></dc:creator>
      <author><![CDATA[Qumulo]]></author>
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