diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 35d232eca04..5bafa30d35d 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -127,6 +127,7 @@ Choose the component your Good First Issue is related to. You can run tests to m - [Auto plugin](https://github.com/openvinotoolkit/openvino/blob/master/src/plugins/auto) - [CPU plugin](https://github.com/openvinotoolkit/openvino/blob/master/src/plugins/intel_cpu) - [GPU plugin](https://github.com/openvinotoolkit/openvino/blob/master/src/plugins/intel_gpu) +- [NPU plugin](https://github.com/openvinotoolkit/openvino/blob/master/src/plugins/intel_npu) - [Hetero plugin](https://github.com/openvinotoolkit/openvino/blob/master/src/plugins/hetero) - [Template plugin](https://github.com/openvinotoolkit/openvino/tree/master/src/plugins/template) diff --git a/README.md b/README.md index 7f38feb9580..851af9980a5 100644 --- a/README.md +++ b/README.md @@ -33,7 +33,7 @@ OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference. - Reduce resource demands and efficiently deploy on a range of Intel® platforms from edge to cloud -This open-source version includes several components: namely [OpenVINO Model Converter (OVC)], [OpenVINO™ Runtime], as well as CPU, GPU, multi device and heterogeneous plugins to accelerate deep learning inference on Intel® CPUs and Intel® Processor Graphics. +This open-source version includes several components: namely [OpenVINO Model Converter (OVC)], [OpenVINO™ Runtime], as well as CPU, GPU, NPU, multi device and heterogeneous plugins to accelerate deep learning inference on Intel® CPUs and Intel® Processor Graphics. It supports pre-trained models from [Open Model Zoo], along with 100+ open source and public models in popular formats such as TensorFlow, ONNX, PaddlePaddle, MXNet, Caffe, Kaldi. @@ -82,6 +82,12 @@ The OpenVINO™ Runtime can infer models on different hardware devices. This sec