ONNX Runtime is a high-performance inferencing and training engine for machine learning models. This show focuses on ONNX Runtime for model inference. ONNX Runtime has been widely adopted by a variety of Microsoft products including Bing, Office 365 and Azure Cognitive Services, achieving an average of 2.9x inference speedup. Now we are glad to introduce ONNX Runtime quantization and ONNX Runtime mobile for further accelerating model inference with even smaller model size and runtime size. ONNX Runtime keeps evolving not only for cloud-based inference but also for on-device inference.

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[01:02] ONNX and ONNX Runtime overview https://aka.ms/AIShow/ONNXRuntimeGH
[02:26] model operationalization with ONNX Runtime
[04:04] ONNX Runtime adoption
[05:07] ONNX Runtime INT8 quantization for model size reduction and inference speedup
[09:46] Demo of ONNX Runtime INT8 quantization
[16:00] ONNX Runtime mobile for runtime size reduction

Learn More:
ONNX Runtime https://aka.ms/AIShow/ONNXRuntimeGH
Faster and smaller quantized NLP with Hugging Face and ONNX Runtime https://aka.ms/AIShow/QuantizedNLP
ONNX Runtime for Mobile Platforms https://aka.ms/AIShow/RuntimeforMobilePlatforms
ONNX Runtime Inference on Azure Machine Learning https://aka.ms/AIShow/RuntimeInferenceonAML

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