OpenDrives Edge wants to end one problem every remote video team knows too well

Slow data access has quietly become one of the costlier headaches in modern media production. OpenDrives tackles it head-on with the debut of OpenDrives Edge at NAB Show 2026, a hybrid cloud-edge accelerator built around the way distributed video teams actually function day to day.

The product targets a friction point that has grown harder to ignore as productions spread across more locations. Editors and media professionals working remotely often wait on assets stored far from where they sit, and that wait chips away at both productivity and deadlines. Edge changes the dynamic by letting teams pull data once from a central hub, store it locally at the edge, and work at the kind of speeds they would expect from hardware sitting right beside them. Once the work is done, the system pushes updates back to the central source automatically.

Also, Edge is used to manage data tiering depending on access patterns so that the most frequently accessed files will be close by and the least-accessed ones pushed further into cheaper storage mediums. This marks an acknowledgement by the media technology industry that simple storage solutions won’t do anymore. Teams need infrastructure that thinks about access, not just capacity.

OpenDrives CTO Alex Dunfey noted that the company built Edge specifically to take data movement off the list of things teams have to think about at all. CEO Trevor Morgan pointed to a shift that most in the industry already feel: video content volumes keep climbing, more people need immediate access, and the old storage playbook never accounted for any of that reality.

Through the Atlas platform’s Containers Marketplace, Edge connects to AWS, Google Cloud, and Microsoft Azure today, with Oracle Cloud joining later. Future versions will push Edge beyond Atlas into broader hardware and cloud environments as well.

Industry observers note this move fits a wider pattern of storage providers repositioning around workflow outcomes rather than raw specs. For remote media teams juggling tight turnarounds and scattered collaborators, data that simply behaves like it sits locally could change how productions run at a foundational level.