For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
  • Introduction
    • Overview
    • Relevant Technologies
    • Getting Started
  • Setup
    • SDK Installation
    • Additional Setup
      • Enabling GPUDirect RDMA
      • Enable G-SYNC
      • Disable variable backlight
      • Enable exclusive display
      • Use iGPU with dGPU
      • Deployment stack
    • Third Party Hardware Setup
  • Using the SDK
    • Holoscan Core
    • GPU Resident Execution
    • Holoscan by Example
    • Create an Application
    • Create a Distributed Application
    • Create an Operator
    • Create an Operator via Decorator
    • Create a Condition
    • Dynamic Flow Control
    • CUDA Stream Handling
    • Logging
    • Data Logging
    • Debugging
    • Python Operator Bindings
  • Operators
    • Operators and Extensions
    • Visualization
    • Inference
    • Testing
    • Video I/O Vendor Implementation Guide
  • Components
    • Schedulers
    • Conditions
    • Resources
    • Analytics
  • AI Skills
    • Ai Skills
  • API reference
  • Performance
    • Performance Considerations
    • Flow Tracking
    • GXF Job Statistics
    • Nsight Profiling
  • HoloHub
    • HoloHub Overview
  • FAQ
    • FAQ
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SetupAdditional Setup

Deployment stack

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NVIDIA Holoscan accelerates deployment of production-quality applications by providing a set of OpenEmbedded build recipes and reference configurations that can be leveraged to customize and build Holoscan-compatible Linux4Tegra (L4T) embedded board support packages (BSP) on the NVIDIA IGX Developer Kits.

Holoscan OpenEmbedded/Yocto recipes add OpenEmbedded recipes and sample build configurations to build BSPs for the NVIDIA IGX Developer Kit that feature support for discrete GPUs (dGPU), AJA Video Systems I/O boards, and the Holoscan SDK. These BSPs are built on a developer’s host machine and are then flashed onto the NVIDIA IGX Developer Kit using provided scripts.

There are two options available to set up a build environment and start building Holoscan BSP images using OpenEmbedded.

  1. Use an OpenEmbedded/Yocto build container by building the image from the meta-tegra-holoscan env directory. The holoscan-oe-builder image previously published on NGC has been retired; follow those instructions to build the container locally and run setup, BitBake, and flash workflows from your workspace.
  2. Set up a local build environment in which all dependencies are fetched and installed manually by the developer directly on their host machine. Please refer to the Holoscan OpenEmbedded/Yocto recipes README for more information on how to use the local build environment.
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Use iGPU with dGPU

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Third Party Hardware Setup