Intel Deep Learning Deployment Toolkit (2025)

mo --input_model my_model.onnx --output_dir ./optimized_model Here is a Python snippet to run your newly minted IR model:

The toolkit solves one simple problem:

Take your slowest production model, run it through the Model Optimizer, and benchmark the result. You will be shocked. Have you used OpenVINO or the Intel DLDT in production? Let me know your latency improvements in the comments below! intel deep learning deployment toolkit

Ditch the Complexity: Supercharge Inference with the Intel Deep Learning Deployment Toolkit mo --input_model my_model