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AIModelKit > Tools > Optimize Live Media Workflows with NVIDIA NIM and Holoscan: A Guide to Enhanced Performance
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Optimize Live Media Workflows with NVIDIA NIM and Holoscan: A Guide to Enhanced Performance

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Last updated: April 19, 2025 12:03 pm
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Optimize Live Media Workflows with NVIDIA NIM and Holoscan: A Guide to Enhanced Performance
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NVIDIA Holoscan for Media: Transforming Live Production and AI Workflows

NVIDIA Holoscan for Media is an innovative, NVIDIA-accelerated platform that is set to revolutionize live production across multiple vendors. This state-of-the-art technology will be prominently showcased at the upcoming GTC conference, where it will highlight NVIDIA’s NIM, AI SDKs, and microservices that are designed to enhance live production workflows. The integration of these advanced tools promises to redefine how media is produced and consumed.

Contents
  • Built on Kubernetes: Streamlining Media Management
  • Accelerating AI Adoption in Live Media
    • Revolutionizing AI Video and Audio Pipelines with NVIDIA NIM
  • New Tools and Features in Holoscan for Media
  • Accessing Holoscan for Media

Built on Kubernetes: Streamlining Media Management

At the core of Holoscan for Media is Kubernetes, a powerful container orchestration platform that simplifies various aspects of media timing, synchronization, and management. This robust foundation allows for seamless operation through NVIDIA components, including GPUs and network operators. With performance tuning specifically tailored for the ST 2110 standard, users can expect efficient management of uncompressed media streams.

The platform leverages a comprehensive monitoring stack, ensuring that users can keep track of performance metrics and system health in real time. Reference applications utilize NVIDIA Rivermax, NVIDIA NMOS, and NVIDIA DeepStream SDKs, empowering users to implement real live media workflows from day one.

Accelerating AI Adoption in Live Media

Holoscan for Media is at the forefront of accelerating the industry’s adoption of artificial intelligence. By connecting next-generation AI models with uncompressed live media pipelines, the platform enables the delivery of innovative viewer experiences and streamlined production processes. This integration allows media professionals to harness the power of AI in ways that were previously unimaginable, setting the stage for a new era in live production.

Revolutionizing AI Video and Audio Pipelines with NVIDIA NIM

One of the standout features of Holoscan for Media is its integration with NVIDIA NIM. This component provides reference AI models that ensure optimal inference performance and reliability. These models can be easily deployed as downloadable microservices on Kubernetes via Helm charts. The architecture of Holoscan for Media is designed to facilitate multi-vendor application deployment while providing robust support for uncompressed media through ST 2110 and NMOS standards.

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During GTC 2025, attendees will witness live demonstrations showcasing how AI SDKs, microservices, and code samples can power media production. For instance, one reference code sample will demonstrate how to connect ST 2110 audio streams to the NVIDIA Riva Automatic Speech Recognition (ASR) NIM microservice, enabling live transcription and search capabilities. Another example will illustrate person detection and recognition, along with advanced video processing features such as super resolution, denoising, and deblurring for virtual cameras sourced from ST 2110 video feeds.

Figure 1. Live media workflow integrating AI models

New Tools and Features in Holoscan for Media

The recent release of the Holoscan for Media platform (version 25.4) introduces several new tools designed to enhance user experience and functionality:

  • Improved Automation: The platform now supports automation features for single-node OpenShift production environments, along with compatibility for various networking variants.
  • Full Monitoring Stack: Users can benefit from a complete monitoring stack that includes platform and application metrics and dashboards. This feature is compatible with both Red Hat OpenShift production environments and open-source Kubernetes, making it accessible for developers utilizing NVIDIA Cloud Native Stack.
  • Updated Developer Deployment Guide: A newly revised guide simplifies the process for developers looking to deploy applications on the platform.
  • Expanded Compatibility: The platform now supports Red Hat OpenShift version 4.16 and NVIDIA driver R570, ensuring users have access to the latest features and optimizations.

Resource utilization during a 200 GbE stress test

Figure 2. Resource utilization during a 200 GbE stress test

In extensive testing, the Holoscan for Media platform demonstrated impressive capabilities, achieving benchmarks inclusive of stress tests and stream redundancy. The tests showed the ability to support 17 streams of uncompressed 4K 60fps video and 71 streams of uncompressed 1080p 60fps per interface, all compliant with ST 2110 specifications. This level of performance offers unparalleled density and efficiency for media professionals.

Accessing Holoscan for Media

For those looking to validate their application integration, NVIDIA provides a dedicated Holoscan for Media production environment hosted on NVIDIA LaunchPad. Interested users can gain access to this lab by contacting Holoscan-Media-Support@nvidia.com.

To dive deeper into the capabilities of Holoscan for Media, users can explore the online documentation and download the platform from the NVIDIA GPU Cloud (NGC).

Attendees at GTC 2025 are encouraged to join the session titled "Connecting NIM Microservices to Uncompressed Video Pipelines with Holoscan for Media" to witness firsthand the transformative capabilities of this groundbreaking technology. Find the demo on the show floor and explore the future of live media production!

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