Manifold Technologies was recognized as a key contributor to the EBU's Media eXchange Layer (MXL), an open-source project that won the Content Creation category at the IBC2026 Innovation Awards. The project aims to improve interoperability and compute efficiency for live, low-latency video and audio workflows through shared memory.
The recognition of Manifold Technologies highlights a shift toward shared-memory architectures to solve the latency and compute bottlenecks inherent in software-defined production. By moving away from rigid specifications toward a collaborative open-source codebase, the EBU is attempting to standardize how multi-vendor tools interact without the typical overhead of proprietary silos. This approach directly addresses the industry's need for more agile, distributed infrastructure that can handle high-bandwidth timed data. As the project matures, the streaming ecosystem should monitor Manifold's upcoming interoperability demonstrations and the potential integration of FPGA acceleration to see if MXL becomes the de facto standard for low-latency live handovers.
Manifold Technologies has been recognized for its contributions to the EBU Media eXchange Layer (MXL), an open-source framework that recently won the IBC2026 Innovation Award. By utilizing shared memory to optimize compute efficiency, the project aims to standardize interoperability for live, low-latency video and audio production across the broadcasting industry.
The EBU Media eXchange Layer (MXL) is an open-source framework designed to optimize compute efficiency and interoperability for live, low-latency video and audio production workflows.
MXL reduces infrastructure complexity and improves efficiency for distributed live content delivery by moving away from proprietary silos toward a collaborative, shared-memory architecture.
The initiative includes major broadcasters such as the BBC, CBC/Radio-Canada, Sky, and Warner Bros, alongside technology vendors like Sony, Intel, and Manifold Technologies.
Manifold Technologies is currently targeting the development of FPGA acceleration support for the MXL project to further enhance its performance.
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