Cisco, NVIDIA Push Toward AI-Driven Media Fabrics for Broadcast

New infrastructure allows real-time media workflows and AI processing on a single high-performance network

Apr. 17, 2026 at 1:08pm

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A highly detailed, glowing 3D illustration of a complex network of interconnected cables, circuit boards, and data servers in shades of neon cyan and magenta, conceptually representing the convergence of real-time media workflows and AI processing on a single high-performance infrastructure.As broadcast production environments embrace AI-driven media fabrics, the network itself becomes an active participant in delivering personalized, interactive content to audiences.Las Vegas Today

Broadcast engineers are transitioning from Serial Digital Interface (SDI) to IP-based SMPTE ST 2110 workflows, but a new architectural shift is emerging - the move toward AI-driven media fabrics. These next-generation fabrics allow the network to become an active participant in production by merging real-time media workflows with AI processing on a single, high-performance infrastructure.

Why it matters

The convergence of media and AI enables a variety of real-time enhancements like automated captioning, AI-driven replay, real-time content analytics, and automated graphics. This shift is being driven by changing audience expectations for personalized, interactive, and multi-platform content, forcing production environments to evolve from linear feeds into hybrid, software-defined hubs.

The details

The Media Exchange Layer (MXL) is an emerging framework that standardizes how video, audio, and metadata are shared, allowing AI engines to access live media streams in real time without separate processing pipelines. Cisco's IP Fabric for Media (IPFM) and NVIDIA's Holoscan platform are powering these AI-driven workflows, with deployments at venues like Gillette Stadium and The Sphere in Las Vegas.

  • Cisco and NVIDIA have been pushing toward AI-driven media fabrics in recent years.
  • The ST 2110 solution at Gillette Stadium demonstrates the technology in action.

The players

Cisco

A multinational technology conglomerate that provides networking hardware, software, telecommunications equipment, and other high-technology services and products.

NVIDIA

An American multinational technology company that designs graphics processing units (GPUs), application programming interfaces (APIs) for game development, and systems on a chip units (SoCs) for the mobile computing and automotive market.

Media Exchange Layer (MXL)

An emerging framework designed to standardize how video, audio, and metadata are shared, allowing AI engines to access live media streams in real time.

Gillette Stadium

A stadium located in Foxborough, Massachusetts, that serves as the home of the New England Patriots NFL team and the New England Revolution MLS team.

The Sphere

A large spherical entertainment venue located in Las Vegas, Nevada.

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What’s next

As AI-driven media fabrics mature, we can expect to see the development of hyper-personalized viewing experiences, more scalable REMI workflows, and the rise of alternate broadcasts tailored to individual viewer preferences.

The takeaway

The shift toward AI-driven media fabrics represents a fundamental change in how broadcast production environments operate, moving away from hardware-centric thinking toward a software-defined, programmable network approach that can better meet the evolving demands of modern audiences.