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Media & Entertainment

GPU workflows for film, TV, live media and advertising: RTX PRO GPUs for rendering and virtual production, Omniverse for 3D pipelines, the Video Codec SDK for encoding and decoding, and AI references for localization and custom studio models.

Technology profiles for this category are in research.

Overview

Studios, broadcasters and streaming services use GPUs at several stages: real-time rendering on set, final-frame rendering, encoding for delivery and, more and more, AI for search, localization and personalization. This category gathers those uses without repeating the gaming and digital twin pages.

NVIDIA features Landis Fields, an artist at Industrial Light & Magic, using RTX PRO for real-time rendering in Unreal Engine and Pixar using NVIDIA GPUs for RenderMan XPU. The RTX PRO 6000 Blackwell Server Edition targets rendering, virtual production and video work in the data center and includes NVENC and NVDEC engines, which the Video Codec SDK exposes for H.264, HEVC and AV1. Omniverse supports custom 3D pipelines. The AI Blueprints include a content localization reference that translates media and syncs lip movement to new audio.

Small productions can usually rely on workstation GPUs and their existing creative applications; servers and custom AI pipelines make sense mainly at studio or broadcaster scale.1234

Problems it addresses

  • Long render times1

    NVIDIA reports that Pixar uses NVIDIA GPUs to accelerate RenderMan XPU for larger, more complex scenes.

  • Real-time decisions on set1

    NVIDIA cites Industrial Light & Magic using RTX PRO for real-time rendering in virtual production.

  • Transcoding at scale3

    The Video Codec SDK gives access to hardware encoders and decoders for H.264, HEVC and AV1.

  • Localizing content4

    The content localization blueprint translates media and syncs speakers' lips to translated audio.

  • Models trained on studio data1

    NVIDIA AI Foundry lets studios build custom generative models on their own data, delivered as inference microservices.

A typical workflow

  1. Decode source footage3

    Decode incoming media with NVDEC through the Video Codec SDK.

  2. Enrich with AI4

    Run tagging, search or localization models, for example from the content localization blueprint.

  3. Render and composite2

    Render 3D elements on RTX PRO GPUs or in an Omniverse-based pipeline.

  4. Encode for delivery3

    Encode to H.264, HEVC or AV1 with NVENC.

NVIDIA Solution Architect

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Next steps

  1. Measure how much render and encode time your pipeline spends per finished minute of content.

  2. Check that your renderer and editing tools support GPU acceleration on your hardware.

  3. Clear rights and consent before applying AI dubbing or lip-sync to a performer's likeness.

  4. Use the NVIDIA Solution Architect to outline an AI pipeline for your media workflow.

Sources

  1. NVIDIA Media and Entertainment (opens in a new tab)NVIDIA · Vendor-reported, Customer-reported
  2. NVIDIA RTX PRO 6000 Blackwell Server Edition (opens in a new tab)NVIDIA · Vendor-reported
  3. NVIDIA Video Codec SDK (opens in a new tab)NVIDIA · Vendor-reported
  4. NVIDIA AI Blueprints GitHub organization (opens in a new tab)NVIDIA · Vendor-reported

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