ONNX Runtime | Home
https://onnxruntime.aiONNX Runtime is an open-source project that is designed to accelerate machine learning across a wide range of frameworks, operating systems, and hardware platforms. Today, we are excited to announce a preview version of ONNX Runtime in release 1.8.1 featuring support for AMD Instinct™ GPUs facilitated by the AMD ROCm™ open software platform...
ONNX Runtime | Home
onnxruntime.aiONNX Runtime is an open-source project that is designed to accelerate machine learning across a wide range of frameworks, operating systems, and hardware platforms. Today, we are excited to announce a preview version of ONNX Runtime in release 1.8.1 featuring support for AMD Instinct™ GPUs facilitated by the AMD ROCm™ open software platform...
ONNX | Home
https://onnx.aiONNX makes it easier to access hardware optimizations. Use ONNX-compatible runtimes and libraries designed to maximize performance across hardware.
ONNX Runtime (ORT) - onnxruntime
https://onnxruntime.ai/docsONNX Runtime is an accelerator for machine learning models with multi platform support and a flexible interface to integrate with hardware-specific libraries. ONNX Runtime can be used with models from PyTorch, Tensorflow/Keras, TFLite, scikit-learn, and other frameworks. ONNX Runtime Watch later Watch on How to use ONNX Runtime (ORT)
ONNX Runtime | Community
https://onnxruntime.ai/community.html“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
ONNX Runtime | Microsoft Docs
docs.microsoft.com › en-us › showsJul 07, 2020 · ONNX Runtime inference engine is capable of executing ML models in different HW environments, taking advantage of the neural network acceleration capabilities. Microsoft and Xilinx worked together to integrate ONNX Runtime with the VitisAI SW libraries for executing ONNX models in the Xilinx U250 FPGAs.