[DOCS] GNA disclaimer
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@@ -154,7 +154,7 @@ When you are running several inference requests in parallel, a device can proces
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Use weak reference of infer_request (``ov::InferRequest*``, ``ov::InferRequest&``, ``std::weal_ptr<ov::InferRequest>``, etc.) in the callback. It is necessary to avoid cyclic references.
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For more details, see the `Classification Async Sample <../../samples/cpp/classification_sample_async/README.md>`_.
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For more details, see the :doc:`Classification Async Sample <openvino_inference_engine_samples_classification_sample_async_README>`.
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You can use the ``ov::InferRequest::cancel`` method if you want to abort execution of the current inference request:
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@@ -13,11 +13,14 @@ The Intel® Gaussian & Neural Accelerator (GNA) is a low-power neural coprocesso
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Intel® GNA is not intended to replace typical inference devices such as the CPU and GPU. It is designed for offloading
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continuous inference workloads including but not limited to noise reduction or speech recognition
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to save power and free CPU resources.
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to save power and free CPU resources. It lets you run inference on Intel® GNA, as well as the CPU, in the software execution mode.
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For more details on how to configure a system to use GNA, see the :doc:`GNA configuration page <openvino_docs_install_guides_configurations_for_intel_gna>`.
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The GNA plugin provides a way to run inference on Intel® GNA, as well as in the software execution mode on CPU.
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.. note::
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For more details on how to configure a machine to use GNA, see the :doc:`GNA configuration page <openvino_docs_install_guides_configurations_for_intel_gna>`.
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Intel's GNA is being discontinued and Intel® Core™ Ultra (formerly known as Meteor Lake) will be the last generation of hardware to include it.
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Consider Intel's new Visual Processing Unit as a low-power solution for offloading neural network computation, for processors offering the technology.
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Intel® GNA Generational Differences
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###########################################################
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