# HDDL Plugin {#openvino_docs_IE_DG_supported_plugins_HDDL} ## Introducing the HDDL Plugin The Inference Engine HDDL plugin was developed for inference with neural networks on Intel® Vision Accelerator Design with Intel® Movidius™ VPUs. It is designed for use cases that require large throughput for deep learning inference, up to dozens of times more than the MYRIAD Plugin. ## Configuring the HDDL Plugin To configure your Intel® Vision Accelerator Design With Intel® Movidius™ on supported OSs, refer to the Steps for Intel® Vision Accelerator Design with Intel® Movidius™ VPUs section in the installation guides for [Linux](../../install_guides/installing-openvino-linux.md) or [Windows](../../install_guides/installing-openvino-windows.md). ## Supported networks For the "Supported Networks", please reference to [MYRIAD Plugin](MYRIAD.md) ## Supported Configuration Parameters See VPU common configuration parameters for the [VPU Plugins](VPU.md). When specifying key values as raw strings (that is, when using Python API), omit the `KEY_` prefix. In addition to common parameters for MYRIAD plugin and HDDL plugin, HDDL plugin accepts the following options: | Parameter Name | Parameter Values | Default | Description | | :--- | :--- | :--- | :--- | | KEY_PERF_COUNT | YES/NO | NO | Enable performance counter option. | | KEY_VPU_HDDL_GRAPH_TAG | string | empty string | Allows to execute network on specified count of devices. | | KEY_VPU_HDDL_STREAM_ID | string | empty string | Allows to execute inference on a specified device. | | KEY_VPU_HDDL_DEVICE_TAG | string | empty string | Allows to allocate/deallocate networks on specified devices. | | KEY_VPU_HDDL_BIND_DEVICE | YES/NO | NO | Whether the network should bind to a device. Refer to vpu_plugin_config.hpp. | | KEY_VPU_HDDL_RUNTIME_PRIORITY | signed int | 0 | Specify the runtime priority of a device among all devices that running a same network Refer to vpu_plugin_config.hpp. | ## See Also * [Supported Devices](Supported_Devices.md) * [VPU Plugins](VPU.md) * [MYRIAD Plugin](MYRIAD.md)