Unverified50% confidenceFactExact time
The Deformable DETR paper claims to reduce the training schedule from 500 epochs to approximately 50 epochs, achieving nearly a 10× speedup.
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50%
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Long-term
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9/4/2026
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UnverifiedAt the thousand-GPU scale, the latency of a single AllReduce operation can account for more than 30% of the per-step training time.69% similarVerifiedTraining speed is increased 2-5x when using Unsloth.68% similarUnverified仅调整 num_workers、pin_memory、prefetch_factor 三个 DataLoader 参数，相同 2000 步训练耗时从 633 秒降至 358 秒，运行时间缩短 43%67% similar
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