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GraphZero fixes PyTorch Geometric OOM crashes by memory-mapping massive graph datasets directly from your SSD. Built with C++20 and nanobind, it hands raw pointers to PyTorch as zero-copy NumPy arrays. Train 50GB models on consumer hardware by letting the OS handle page faults while the GPU focuses entirely on the math.
GraphzeroZero-copy C++ graph engine to train PyTorch GNNs with 0 RAM.
Krish Singarialeft a comment
Hey Product Hunt! š Iām currently a 3rd-year CS student, and I built GraphZero to solve a massive headache I ran into while working with Graph Neural Networks: the dreaded PyTorch Out-Of-Memory (OOM) crash. The Problem: Standard libraries like PyTorch Geometric try to load massive datasets (like Papers100M) entirely into RAM before moving them to the GPU. On a standard machine, this causes an...
GraphzeroZero-copy C++ graph engine to train PyTorch GNNs with 0 RAM.