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< h1 class = "pt-3 pb-3 pt-md-5 pb-lg-5 px-md-4 px-lg-5 mt-5 mb-0" > Optimize and accelerate machine learning
inferencing across the cloud and the edge< / h1 >
< a id = "getStarted" href = "JavaScript:void(0);" class = "btn btn-lg btn-primary text-uppercase px-5 py-3 btn-blue btn-getStarted" > Get Started< / a >
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< h2 class = "mr-xl-5" > Easily optimize and accelerate inferencing< / h2 >
< p class = "mr-xl-5 mb-md-0" > Reduce latency and inferencing costs across the cloud and the edge using built-in graph optimizations and hardware accelerators.
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< h2 class = "mr-xl-5" > Plug-in to your technology stack< / h2 >
< p class = "mr-xl-5 mb-md-0" > Cross-platform support and convenient < abbr title = "Application Program Interface" > API< / abbr > s make inferencing with ONNX Runtime easy.< / p >
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< h2 class = "mr-xl-5" > Leverage open source innovation< / h2 >
< p class = "mr-xl-5 mb-0" > With innovation and support from its open source community, ONNX Runtime continuously improves while delivering the reliability you need.< / p >
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< h2 > Please enable JavaScript to use the interactive installation guide.< / h2 >
< p class = "mb-0" > Need help enabling JavaScript? Follow the instructions < a href = "https://www.whatismybrowser.com/guides/how-to-enable-javascript/auto" target = "_blank" > here< / a > .< / p >
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< h2 > Get Started Easily< / h2 >
< p class = "mb-0 mb-md-3" > Select your requirements and use the resources provided to get started quickly
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< h3 id = "selectHardwareAcceleration" > Hardware Acceleration< / h3 >
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< h2 > Build an ONNX Model< / h2 >
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< p > Build and train a machine learning model to meet your project goals using the tools that best meet your needs:< / p >
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< li class = "pb-3" > < a href = "https://github.com/onnx/tutorials#converting-to-onnx-format" target = "_blank" class = "link" > < span class = "link-content" > Convert an existing model< / span > < span class = "link-arrow fa fa-angle-right" > < / span > < / a > < / li >
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< p class = "mb-0" > < strong > Develop a new model< / strong > < / p >
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< li > < a href = "https://github.com/Azure/MachineLearningNotebooks/tree/master/how-to-use-azureml/deployment/onnx#onnx-on-azure-machine-learning" target = "_blank" class = "link" > < span class = "link-content" > Azure Machine Learning< / span >
< span class = "link-arrow fa fa-angle-right" > < / span > < / a > < / li >
< li > < a href = "https://www.customvision.ai/" target = "_blank" class = "link" > < span class = "link-content" > Custom
Vision, an Azure Cognitive
Service< / span > < span class = "link-arrow fa fa-angle-right" > < / span > < / a > < / li >
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< li > < a href = "https://github.com/onnx/models#onnx-model-zoo" target = "_blank" class = "link" > < span class = "link-content" > Use
a pre-trained model< / span > < span class = "link-arrow fa fa-angle-right" > < / span > < / a > < / li >
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< h2 > Deploy your ONNX Model< / h2 >
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< p > Deploy your ONNX model across hardware devices:< / p >
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< li class = "pb-3" > < a href = "https://aka.ms/onnxruntime-cloud" target = "_blank" class = "link" > < span class = "link-content" > Cloud< / span > < span class = "link-arrow fa fa-angle-right" > < / span > < / a > < / li >
< li class = "pb-3" > < a href = "https://aka.ms/onnxruntime-iot-edge" target = "_blank" class = "link" > < span class = "link-content" > < abbr title = "Internet of things" > IoT< / abbr > / Edge< / span > < span class = "link-arrow fa fa-angle-right" > < / span > < / a > < / li >
< li > < a href = "https://aka.ms/onnxruntime-local" target = "_blank" class = "link" > < span class = "link-content" > Local
Applications< / span > < span class = "link-arrow fa fa-angle-right" > < / span > < / a > < / li >
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< img src = "images/word-logo.png" class = "msword-logo" alt = "Microsoft Word Logo" / >
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< h2 class = "blue-text mr-xl-5 mb-3" > Improved performance by 14x< / h2 >
< p class = "mr-xl-5 first-child" > Microsoft Word Online includes a grammar checker that identifies missing determiners. This feature infers missing determiners in real-time on billions of sentences each month.
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< p class = "bold-text mr-xl-5 mb-md-0" > Using ONNX and ONNX Runtime, inference speed improved by 14.2x
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< img src = "images/Micorsoft-Azure-Logo.png" class = "msazure-logo" alt = "Microsoft Azure logo" / >
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< h2 class = "blue-text mr-xl-5 mb-3" > Improved performance by 3x< / h2 >
< p class = "mr-xl-5 first-child" > Computer Vision, an Azure Cognitive Service, uses optical character recognition to detect text in an image and extract the recognized words into a machine-readable character stream.
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< p class = "bold-text mr-xl-5 mb-md-0" > Using ONNX and ONNX Runtime, inference speed improved by 3.7x
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< img src = "images/bing-logo.svg" class = "bing-logo" alt = "bing logo" / >
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< h2 class = "blue-text mr-xl-5 mb-3" > Improved performance by 2x< / h2 >
< p class = "mr-xl-5 first-child" > Bing Visual Search allows users to search the web using an image instead of text.
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< p class = "bold-text mr-xl-5 mb-md-0" > Using ONNX and ONNX Runtime, inference speed improved by 2x
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< p class = "mb-1" > “ ONNX Runtime enables our customers to easily apply NVIDIA TensorRT’ s powerful optimizations to machine learning models, irrespective of the training framework, and deploy across NVIDIA < abbr title = "Graphics Processing Unit" > GPUs< / abbr > and edge devices.” < / p >
< p class = "overview" > – Kari Ann Briski, Sr. Director, Accelerated Computing Software and < abbr > AI< / abbr > Product, NVIDIA< / p >
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< p class = "mb-1" > “ We are excited to support ONNX Runtime on the Intel® Distribution of OpenVINO™ . This accelerates machine learning inference across Intel hardware and gives developers the flexibility to choose the combination of Intel hardware that best meets their needs from < abbr title = "Central Processing Unit" > CPU< / abbr > to < abbr title = "Vision Processing Unit" > VPU< / abbr > or < abbr title = "Field Programmable Gate Array" > FPGA< / abbr > .” < / p >
< p class = "overview" > – Jonathan Ballon, Vice President and General Manager, Intel Internet of Things Group< / p >
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< h2 class = "text-center py-4 mb-0" > Get Involved< / h2 >
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< h3 class = "footer-heading" > Use ONNX Runtime< / h3 >
< p class = "mr-xl-5 mb-2" > Accelerate your machine learning inferencing today.< / p >
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< span class = "link-content" > Get Started< / span > < span class = "link-arrow fa fa-angle-right" > < / span > < / a >
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< h3 class = "footer-heading" > Contribute< / h3 >
< p class = "mr-xl-5 mb-2" > ONNX Runtime is a community project. We encourage you to join the effort and contribute feedback, ideas and code.< / p >
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