---
title: "Qwen"
description: "1 posts about Qwen, summarised, each linking to the original."
---

# Qwen
> 1 posts about Qwen, summarised, each linking to the original.

## Articles

### [Reducing Qwen training time by 6x on AI Runtime](https://yomu.fyi/post/reducing-qwen-training-time-by-6x-on-ai-runtime.md)
- Company: [Databricks](https://yomu.fyi/company/databricks.md)
- Author: Bruce Fontaine, Pardis Beikzadeh
- Published: Oct 15, 2026
- Type: Tutorial

The post describes systematic performance optimization to reduce fine-tuning time for the Qwen 3.8 27B model on AI Runtime from 7 hours 44 minutes to 1 hour 17 minutes, a 6x improvement. The baseline showed 98% GPU utilization, but torch traces revealed the CPU was stalling the GPU with too many small operations. Installing manually fused kernels such as flash-linear-attention and causal-conv1d reduced the number of GPU operations by 15x and improved training speed by 3.7x. Further gains came from switching from 2D padded batches to 1D packed tensors with correct position\_ids, which reduced the number of batches by 36% and eliminated dynamic shape recompilation. The post emphasizes measuring what matters beyond GPU utilization and leveraging pre-built community kernels and efficient batching.