What if I told you that your existing Intel Xeon CPUs (or even your Core i5 laptop) are hiding a massive amount of untapped performance? The secret isn't buying new hardware; it's using the .
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
The easiest way to get the runtime is via pip, though for the full Model Optimizer, download the full OpenVINO toolkit. What if I told you that your existing
pip install openvino Assume you have an ONNX export of your PyTorch model: You will be shocked
mo --input_model my_model.onnx --output_dir ./optimized_model Here is a Python snippet to run your newly minted IR model: