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.
The transition to a decentralized, cloud-heavy workflow demonstrates that Tier-1 live sports can maintain low-latency editing performance across multiple geographic hubs. By moving 200TB of assets to AWS and utilizing Leostream for secure remote access, ESPN has decoupled physical presence from production capacity, allowing for a massive expansion in supplemental feeds like the Red Zone. This model serves as a blueprint for the broadcaster's upcoming Super Bowl coverage, proving that temporary infrastructure can support record-breaking viewership without sacrificing technical stability. Watch for whether ESPN adopts this high-performance Qumulo storage configuration for its upcoming ATP Tour and Laver Cup broadcasts.
For other workflows enabling remote editing of RAW files, broadcasters are increasingly turning to automated cloud-based transcoding solutions.
ESPN successfully managed a record 3.2 million viewers for the 2026 US Open by deploying a decentralized, cloud-heavy production workflow. By utilizing AWS and Qumulo storage to manage 200TB of footage, the broadcaster decoupled physical presence from capacity, proving that temporary infrastructure can support massive live sports audiences with low-latency performance.
ESPN utilized Qumulo storage on AWS to manage over 200TB of historical footage, which provided high-performance storage and eliminated latency for editors using Adobe Premiere.
ESPN deployed a 20,000-square-foot temporary three-story facility featuring three production control rooms, 44 equipment racks, 800 router outputs, and 500 inputs.
Signiant was used to handle high-speed file transfers between the EVS IP Director ingest located in New York and remote production teams based in Bristol and D.C.
This model proves that decentralized, cloud-heavy workflows can maintain low-latency editing across geographic hubs, serving as a blueprint for future events like the Super Bowl.
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