R2Inference: Difference between revisions

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+<div style="padding:2rem 1rem; margin:0; background-color:#4db6ac;color:#ffffff;">
+  <div>
+    <p style="font-size: 4em; margin-bottom:0">R2Inference</p>
+    <p style="font-size: 1em; margin-top:0; margin-bottom:4rem">A framework-independent inference library.</p>
+  </div>
+</div>
+| rowspan="2" valign="top" style="text-align:center;" | {{R2Inference/TOC}}
+|-
+| width="100%" valign="top" |
+[https://github.com/RidgeRun/r2inference R2Inference] is an open source project by RidgeRun that serves as an abstraction layer in C/C++ for a variety of machine learning frameworks.
+As such, a single C/C++ application may work with a Caffe or TensorFlow model, for example.
+This is specially useful for hybrid solutions, where multiple models need to be inferred. R2Inference may be able to execute one model on the DLA and another on the CPU, for instance.
+Get started with R2Inference by clicking the button below!
+[[File:xavier_get_started_here.png|400px|frameless|center|link=R2Inference/Introduction]]
+For more advanced and custom support, please contact Ridgerun support at [mailto:support@ridgerun.com '''support@ridgerun.com'''].
+|}
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