openvino/docs/OV_Runtime_UG/supported_plugins/Device_Plugins.md

# Device Plugin Support {#openvino_docs_IE_DG_Device_Plugins}

@sphinxdirective

.. toctree::
   :maxdepth: 1
   :hidden:

   openvino_docs_IE_DG_InferenceEngine_QueryAPI
   openvino_docs_IE_DG_supported_plugins_CPU
   openvino_docs_IE_DG_supported_plugins_GPU
   openvino_docs_IE_DG_supported_plugins_VPU
   openvino_docs_IE_DG_supported_plugins_GNA

@endsphinxdirective

Inference Engine uses a plugin architecture. Inference Engine plugin is a software component that contains complete implementation for inference on a certain Intel® hardware device: CPU, GPU, VPU, GNA, etc. Each plugin implements the unified API and provides additional hardware-specific APIs.

The Inference Engine provides capabilities to infer deep learning models on the following device types with corresponding plugins:

| Plugin                                   | Device types                                                                                                                                                |
|------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------|
|[GPU plugin](GPU.md)            |Intel® Processor Graphics, including Intel® HD Graphics and Intel® Iris® Graphics                                                            |
|[CPU plugin](CPU.md)              |Intel® Xeon® with Intel® Advanced Vector Extensions 2 (Intel® AVX2), Intel® Advanced Vector Extensions 512 (Intel® AVX-512), and AVX512_BF16, Intel® Core™ Processors with Intel® AVX2, Intel® Atom® Processors with Intel® Streaming SIMD Extensions (Intel® SSE) |
|[VPU plugins](VPU.md) (available in the Intel® Distribution of OpenVINO™ toolkit)            |Intel® Neural Compute Stick 2 powered by the Intel® Movidius™ Myriad™ X, Intel® Vision Accelerator Design with Intel® Movidius™ VPUs                                                                                           |
|[GNA plugin](GNA.md) (available in the Intel® Distribution of OpenVINO™ toolkit)              |Intel® Speech Enabling Developer Kit, Amazon Alexa* Premium Far-Field Developer Kit, Intel® Pentium® Silver J5005 Processor, Intel® Pentium® Silver N5000 Processor, Intel® Celeron® J4005 Processor, Intel® Celeron® J4105 Processor, Intel® Celeron® Processor N4100, Intel® Celeron® Processor N4000, Intel® Core™ i3-8121U Processor, Intel® Core™ i7-1065G7 Processor, Intel® Core™ i7-1060G7 Processor, Intel® Core™ i5-1035G4 Processor, Intel® Core™ i5-1035G7 Processor, Intel® Core™ i5-1035G1 Processor, Intel® Core™ i5-1030G7 Processor, Intel® Core™ i5-1030G4 Processor, Intel® Core™ i3-1005G1 Processor, Intel® Core™ i3-1000G1 Processor, Intel® Core™ i3-1000G4 Processor|
|[Multi-Device plugin](MULTI.md) |Multi-Device plugin enables simultaneous inference of the same network on several Intel® devices in parallel    |
|[Auto-Device plugin](AUTO.md) |Auto-Device plugin enables selecting Intel® device for inference automatically |
|[Heterogeneous plugin](HETERO.md) |Heterogeneous plugin enables automatic inference splitting between several Intel® devices (for example if a device doesn't [support certain layers](#supported-layers)).                                                           |

Devices similar to the ones we have used for benchmarking can be accessed using [Intel® DevCloud for the Edge](https://devcloud.intel.com/edge/), a remote development environment with access to Intel® hardware and the latest versions of the Intel® Distribution of the OpenVINO™ Toolkit. [Learn more](https://devcloud.intel.com/edge/get_started/devcloud/) or [Register here](https://inteliot.force.com/DevcloudForEdge/s/).