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- “Using a common model and code base, the ONNX Runtime allows us to easily flip between platforms to help our customers choose the most cost-effective solution based on their infrastructure and requirements.”
-– Oscar Kramer, Chief Geospatial Scientist, Peakspeed
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- “The ONNX Runtime API for Java enables Java developers and Oracle customers to seamlessly consume and execute ONNX machine-learning models, while taking advantage of the expressive power, high performance, and scalability of Java.”
-– Stephen Green, Director of Machine Learning Research Group, Oracle
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“Using a common model and code base, the ONNX Runtime allows us to easily flip between platforms to help our customers choose the most cost-effective solution based on their infrastructure and requirements.”
+– Oscar Kramer, Chief Geospatial Scientist, Peakspeed
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+ “The ONNX Runtime API for Java enables Java developers and Oracle customers to seamlessly consume and execute ONNX machine-learning models, while taking advantage of the expressive power, high performance, and scalability of Java.”
+– Stephen Green, Director of Machine Learning Research Group, Oracle
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“We use ONNX Runtime to accelerate model training for a 300M+ parameters model that powers code autocompletion in Visual Studio IntelliCode.”
– Neel Sundaresan, Director SW Engineering, Data & AI, Developer Division, Microsoft