Unverified50% confidenceFactExact time
Pretraining's footprint on VRAM (or NPU on-chip memory) is usually several times that of inference, and it is extremely sensitive to numerical precision; a single overflow or underflow during mixed-precision training can cause the loss to diverge.
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10/15/2026
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