Xiaoming Peng

Xiaoming Peng works at AMD on large-scale AI training frameworks and GPU performance optimization. With a strong background in high-performance computing and AI infrastructure, he focuses on building efficient distributed training systems and optimizing end-to-end performance for next-generation AI models.

Posts by XiaoMing Peng

August 12, 2026

Using ODC to Accelerate AMD SFT Training

Learn how we ported ODC on-demand P2P communication to AMD Instinct MI300X to cut FSDP bubbles and speed up variable-length SFT training.

https://rocm.blogs.amd.com/software-tools-optimization/odc-accelerate-training/README.html

Posts by Xiaoming Peng

February 23, 2026

Primus-Pipeline: A More Flexible and Scalable Pipeline Parallelism Implementation

Learn how to use our flexible and scalable pipeline parallelism framework with Primus backend and AMD hardware.

https://rocm.blogs.amd.com/software-tools-optimization/primus-pipeline/README.html

December 16, 2025

MoE Training Best Practices on AMD GPUs

Learn how to optimize Mixture-of-Experts (MoE) model training on AMD Instinct GPUs with ROCm. Maximize your AI training performance now!

https://rocm.blogs.amd.com/software-tools-optimization/primus-moe-package/README.html

August 22, 2025

Primus: A Lightweight, Unified Training Framework for Large Models on AMD GPUs

Primus streamlines LLM training on AMD GPUs with unified configs, multi-backend support, preflight validation, and structured logging.

https://rocm.blogs.amd.com/software-tools-optimization/primus/README.html