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Tools Of The Trade C2c Activation Offloading On Grace Blackwell

Source
poolside.ai
Author
Poolside
Date

Context

Poolside's training experiment explores saving intermediate calculations in CPU memory instead of discarding and recomputing them to conserve GPU memory. On Grace Blackwell hardware, a fast connection lets these transfers overlap with other calculations, provided they finish before the saved data is needed.

Its eight-layer experiment reduced training-step time by about 4.3% compared with recomputation. The larger 6–13% improvement discussed in the article is projected for deeper models. The engineering opportunity is to exchange redundant computation for memory transfers that fit inside existing compute time; whether that exchange pays off depends on the model and hardware.

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