arxiv
PublishedJune 1, 2026 at 4:00 AM
Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended
Publisher summary· verbatim
arXiv:2605.30728v1 Announce Type: new Abstract: Machine learning (ML) training and inference often process data sets far exceeding GPU memory capacity, forcing them to rely on PCIe for on-demand tensor transfers, causing critical transfer bottlenecks. Lossy compression has been proposed to relieve b
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Originally published on arxiv ↗