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Copy file name to clipboardexpand all lines: onnxdlc/index.html
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@@ -1292,20 +1292,20 @@ <h3 id="getting-started-with-the-ibm-z-deep-learning-compiler">Getting Started w
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<p>There are two WMLz based options:</p>
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<ul>
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<li>
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<p><strong>Machine Learning for z/OS Online Scoring Community Edition (OSCE)</strong>, which is freely available and excels at enabling rapid prototyping and proof of concept exercises. </p>
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<p><strong>Machine Learning for z/OS</strong>, which is a z/OS product that manages full model lifecycle and includes numerous features to improve performance for AI models and simplify deployment. </p>
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<ul>
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<li>Simple install to z/OS Container Extensions (zCX).</li>
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<li>Enables you to upload your ONNX model then compile and deploy at the push of a button. </li>
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<li>Includes serving capability that exposes REST end points to call from an application.</li>
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<li>Available on the ibm.com WMLz page: <ahref="https://www.ibm.com/products/machine-learning-for-zos">'Download trial code'</a>.</li>
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<li>Supports server side mini-batching for ONNX/DLC model serving to get the best benefit out of the Integrated Accelerator for AI.</li>
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<li>Infuse AI into z/OS applications either through native CICS Cobol scoring services or by using model server REST endpoints.</li>
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</ul>
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</li>
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<li>
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<p><strong>Machine Learning for z/OS</strong>, which is a z/OS product that manages full model lifecycle and includes numerous features to improve performance for AI models and simplify deployment. </p>
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<p><strong>Machine Learning for z/OS Online Scoring Community Edition (OSCE)</strong>, which is freely available and excels at enabling rapid prototyping and proof of concept exercises. </p>
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<ul>
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<li>Simple install to z/OS Container Extensions (zCX).</li>
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<li>Enables you to upload your ONNX model then compile and deploy at the push of a button. </li>
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<li>Supports server side mini-batching for ONNX/DLC model serving to get the best benefit out of the Integrated Accelerator for AI.</li>
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<li>Infuse AI into z/OS applications either through native CICS Cobol scoring services or by using model server REST endpoints.</li>
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<li>Includes serving capability that exposes REST end points to call from an application.</li>
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<li>Available on the ibm.com WMLz page: <ahref="https://www.ibm.com/products/machine-learning-for-zos">'Download trial code'</a>.</li>
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