ONNX Runtime Has a Free API: Run ML Models 10x Faster in Any Language

ONNX Runtime is Microsoft's open-source inference engine that runs machine learning models across platforms with hardware acceleration — and it has a comprehensive API you can use for free. Why ONNX Runtime Matters Most ML frameworks lock you into one ecosystem. TensorFlow models don't run in PyTorch. PyTorch models don't run in browsers. ONNX Runtime solves this by providing a universal execution engine for the ONNX format. What you get for free: Run models trained in ANY framework (PyTorch, TensorFlow, scikit-learn, XGBoost) Hardware acceleration: CPU, GPU (CUDA/ROCm), DirectML, TensorRT, OpenVINO Language support: Python, C++, C#, Java, JavaScript, React Native, Objective-C Optimized inference that's often 2-10x faster than native framework inference Quick Start: Python import onnxruntime as ort import numpy as np # Load any ONNX model session = ort . InferenceSession ( " model.onnx " ) # Check input requirements input_name = session . get_inputs ()[ 0 ]. name input_shape = session