Serving machine learning models on edge devices
In a previous experiment, we explored model-level optimizations for ML model serving.
Now, we will evaluate the models we created in that experiment on a low-resource edge device.
Follow along at Serving machine learning models on edge devices.
Note: this tutorial requires advance reservation of specific hardware! You will reserve a 2-hour block on a Raspberry Pi 5 on CHI@Edge.
This material is based upon work supported by the National Science Foundation under Grant No. 2230079.
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