Ascend SuperPOD Achieves 34.22% MFU for DeepSeek-V4 Training

A paper introduces SLAI T-Rex, a full-stack optimization solution that successfully conducted full-parameter post-training of the trillion-parameter DeepSeek-V4 on Huawei Ascend SuperPOD, achieving an impressive 34.22% model FLOPs utilization (MFU).

2026-07-23 ~ 2026-07-23 · 3 related posts

• DeepSeek-V4 post-training on Ascend SuperPOD reaches 34.22% MFU — Dongfang Li · 2026-07-23
• Ascend SuperPOD optimization lifts DeepSeek-V4 post-training MFU to 34.22% — pmttyji · 2026-07-23

1 near-duplicate retellings: _akhaliq