Efficient Training on Multiple Consumer GPUs with RoundPipe
Summary
Introduces a new pipeline schedule that avoids tight weight sharing constraints across stages when customizing large models. Targets setups with several consumer GPUs and slow interconnects, squeezing more throughput from cheap hardware. If your lab or startup runs on gamer cards, this is immediately actionable. ([huggingface.co](https://huggingface.co/papers/2604.27085))
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