The European Broadcasting Union and NVIDIA are broadening a framework for broadcaster-controlled AI deployments, alongside faster video search tools demonstrated by Adobe and UFA.
The European Broadcasting Union (EBU) and NVIDIA are expanding standards intended to help European public-service broadcasters deploy AI agents while retaining control over their data, infrastructure, models and security. The announcement was made at a creative-industry event in Berlin on October 19, 2026, hosted with Adobe, Bertelsmann and German production company UFA.
The expanded work brings sovereign-cloud providers, open-model developers and systems integrators into the effort. It is intended to establish requirements and reference architectures covering where AI workloads run, how data is governed, which models are used and how systems are secured across their lifecycle. Microsoft is contributing expertise from Microsoft Sovereign Cloud, including Azure Local and Foundry Local, for local processing of sensitive editorial material and continued operation when external connectivity is unavailable. Nebius is offering European infrastructure for broadcasters to train, fine-tune and operate their own models. NVIDIA’s Nemotron open models are identified as a basis broadcasters can adapt to local languages, archives and editorial requirements, with Qvest and other integrators supporting deployment planning.
A separate demonstration focused on video discovery. Adobe is applying NVIDIA accelerated computing to Frame.io search and media processing. The pipeline uses NVDEC for decoding, TensorRT for AI inference and CUDA for preprocessing and generating embeddings. NVIDIA reported about five times faster embedding generation, up to four times higher throughput and up to five times lower search-processing latency. A new proxy sampled at two frames per second is about 80% smaller than the 360p version it replaces.
The search workflow is being applied to UFA’s extensive programming library. The company produces more than 3,500 hours of programming annually, including the daily drama “Gute Zeiten, schlechte Zeiten.” Frame.io can locate moments by concept, action or setting, while hybrid search can incorporate notes, transcripts and approval status. The two announcements address different production needs: giving broadcasters more deployment control and helping creative teams find usable footage in large archives.