Device Plugin Support

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:


Device types

GPU plugin

Intel Processor Graphics, including Intel HD Graphics and Intel Iris Graphics

CPU plugin

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 (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 (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-Device plugin enables simultaneous inference of the same network on several Intel devices in parallel

Auto-Device plugin

Auto-Device plugin enables selecting Intel device for inference automatically

Heterogeneous plugin

Heterogeneous plugin enables automatic inference splitting between several Intel devices (for example if a device doesn’t support certain layers ).

Devices similar to the ones we have used for benchmarking can be accessed using Intel® DevCloud for the Edge, a remote development environment with access to Intel® hardware and the latest versions of the Intel® Distribution of the OpenVINO™ Toolkit. Learn more or Register here.