> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/holoscan/sdk-user-guide/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/holoscan/sdk-user-guide/_mcp/server.

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](https://github.com/nvidia-holoscan/meta-tegra-holoscan) add
OpenEmbedded recipes and sample build configurations to build BSPs for the NVIDIA IGX Developer Kit
that feature support for discrete GPUs (dGPU) 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](https://github.com/nvidia-holoscan/meta-tegra-holoscan/tree/main/env#readme). 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](https://github.com/nvidia-holoscan/meta-tegra-holoscan/blob/main/README.md) for more information on how to use the local build environment.