SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD
SLAI
SLAI T-Rex is an end-to-end optimization framework for training trillion-parameter MoE models on Ascend NPU hardware, achieving 34.22% Model FLOPs Utilization — a 2.93x improvement over baseline — while maintaining large-scale training stability.
Why it matters
Ranked #1 trending on HuggingFace Daily Papers (>=100 upvotes); shows a practical path to training massive models on non-GPU hardware.
Importance: 4/5
#1 trending HF Daily Paper with >=100 upvotes.
Sources
official
SLAI T-Rex on arXiv