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@ -23,10 +23,15 @@ OpenVINO 2023.0
<div class="splide__track">
<ul class="splide__list">
<li class="splide__slide">An open-source toolkit for optimizing and deploying deep learning models.<br>Boost your AI deep-learning inference performance!</li>
<li class="splide__slide">Even more integrations in 2023.0!<br>Load TensorFlow, TensorFlow Lite, and PyTorch models directly, without manual conversion.<br><a href="https://docs.openvino.ai/2023.1/Supported_Model_Formats.html">See the supported model formats...</a></li>
<li class="splide__slide">CPU inference has become even better. ARM processors are supported and thread scheduling is available on 12th gen Intel® Core and up.<br><a href="https://docs.openvino.ai/2023.1/openvino_docs_OV_UG_OV_Runtime_User_Guide.html">See how to run OpenVINO on various devices...</a></li>
<li class="splide__slide">Post-training optimization and quantization-aware training now in one tool!<br><a href="https://docs.openvino.ai/2023.1/openvino_docs_model_optimization_guide.html">See the new NNCF capabilities...</a></li>
<li class="splide__slide">OpenVINO is enabled in the PyTorch 2.0 torch.compile() backend.<br><a href="https://docs.openvino.ai/2023.1/pytorch_2_0_torch_compile.html">See how it works...</a></li>
<li class="splide__slide"Better OpenVINO integration with PyTorch!<br>Use PyTorch models directly, without converting them first.
<a href="https://docs.openvino.ai/2023.1/openvino_docs_MO_DG_prepare_model_convert_model_Convert_Model_From_PyTorch.html">Learn more...</a>
</li>
<li class="splide__slide">OpenVINO via PyTorch 2.0 torch.compile()<br>Use OpenVINO directly in PyTorch-native applications!
<a href="https://docs.openvino.ai/2023.1/pytorch_2_0_torch_compile.html">Learn more...</a>
</li>
<li class="splide__slide">Do you like Generative AI? You will love how it performs with OpenVINO!<br>
<a href="https://docs.openvino.ai/2023.1/tutorials.html">Check out our new notebooks...</a>
</ul>
</div>
</section>