Keep your PyTorch model in VRAM by hot swapping code
In plain words
This tool helps developers manage PyTorch model memory by automatically swapping code in and out of VRAM during execution. It's designed for machine learning engineers working with large models who need to optimize GPU memory usage without manually managing model loading and unloading. The software enables keeping models active while reducing memory overhead through intelligent code hot-swapping techniques.
written from the facts on this page · September 2026
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