Comments (3)
@huangye123 Are you using OpenVINO on nVidia GPU?
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@huangye123 Are you using OpenVINO on nVidia GPU?
Yes๏ผI using OpenVINO on nVidia RTX4090ใRTX4080 ใ
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@huangye123 At the moment, OpenVINO team is not officially supporting nVidia. nVidia plugin is an experimental feature. Please refer to https://github.com/openvinotoolkit/openvino_contrib/tree/master/modules/nvidia_plugin
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Related Issues (20)
- [Bug]: ov::InferRequest::infer() not thread safe when having multiple models HOT 8
- [Performance]: Latency is much longer than RealTime when using benchmark_app for profiling HOT 5
- How to use pre-allocated buffer in output ?
- Openvino Chinese Path and Interface Support HOT 18
- [Bug]: Model infers on Intel CPU, but crashes on ARM CPU (both systems using Ubuntu 22.04) HOT 7
- [Bug]: when loading model, 'Floating point exception (core dumped)โ happended HOT 4
- [Bug]: Run OpenVINO benchmark_app with Yolo-v4-tf and yolo-v8 INT8 model Failed on NPU HOT 3
- [Bug]: Missing outputs when converting ONNX to IR with ovc HOT 5
- [Performance]: Periodic slow down in InferRequest.infer HOT 3
- Bug HOT 2
- [Bug]: onnx HOT 5
- [Bug]: crashes when calling c++ in arm android HOT 24
- [Bug]: Operators unsupported HOT 8
- [Bug]: When i use Ultra9 NPU to run models, it report: get_shape was called on a descriptor::Tensor with dynamic shape HOT 2
- [Bug]: LSAN reports leaks in ONNX frontend HOT 2
- [Bug]: OpenVINO does not support the following ONNX operations: DeformConv HOT 3
- [Good First Issue]: Extend ONNX Frontend with `DeformConv` operator HOT 4
- The ir model does not deduce a target greater than 0.98 HOT 21
- [Performance]: Unable to achieve good performance on GPU with latest release HOT 1
- [Build]: pip 24.0 + python 3.12.3 doesn't build due to deprecated packages HOT 3
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