Tag: Mixed Precision Training

1 article

• LLM FP8 Fine-Tuning in Production: Amax Scaling, Layer Whitelists, and BF16 Fallback for Stable Convergence

  FP8 reduces compute and memory for LLM fine-tuning, but poor scaling, outliers, and distributed sync issues can cause silent accuracy degradation. This guide provides a complete engineering solution with Amax monitoring, layer whitelists, BF16 fallback, dual-track evaluation, and release gates.

  07/14/2026 LLM Training / FP8 / Transformer Engine / Fine-tuning / MLOps / Mixed Precision Training / Distributed Training / Amax Scaling