Zero-Copy Graph Engine: Train Large GNNs Without OOM If you’ve ever pointed PyG at ogbn-papers100M on a 16GB laptop, you already know the failure mode: the process allocates 20+ GB for the graph and feature matrix, then dies before the GPU sees a single mini-batch. GraphZero’s pitch is that a zero-copy graph engine turns that “I need a 64GB box” problem into “I need a half-decent NVMe and sane access patterns.”

Stop blaming RAM. GraphZero's zero-copy engine trains huge GNNs (ogbn-papers100M) on a 16GB laptop with NVMe - OOM isn't physics, it's architecture. #GraphZero #PyG #ogbn-papers100M