Yao Liu

Yao Liu is a senior software development manager at AMD. He focuses on building high-performance software solutions and is deeply passionate about artificial intelligence, open-source software, and the evolving machine learning ecosystem.

Posts by Yao Liu

DGL in the Real World: Running GNNs on Real Use Cases

We walk through four advanced GNN workloads from heterogeneous e-commerce graphs to neuroscience applications that we successfully ran using our DGL implementation.

August 20, 2025 by Mukhil Azhagan Mallaiyan Sathiaseelan, Anuya Welling, James Smith, Yao Liu, Phani Vaddadi, Vish Vadlamani

Accelerating Parallel Programming in Python with Taichi Lang on AMD GPUs

This blog provides a how-to guide on installing and programming with Taichi Lang on AMD Instinct GPUs.

July 31, 2025 by Tiffany Mintz, Yao Liu, Phani Vaddadi, Vish Vadlamani

Graph Neural Networks at Scale: DGL with ROCm on AMD Hardware

Accelerate Graph Deep Learning on AMD GPUs with DGL and ROCm—scale efficiently with open tools and optimized performance.

July 31, 2025 by Mukhil Azhagan Mallaiyan Sathiaseelan, Anuya Welling, Yao Liu, Phani Vaddadi, Vish Vadlamani

Reinforcement Learning from Human Feedback on AMD GPUs with verl and ROCm Integration

Deploy verl on AMD GPUs for fast, scalable RLHF training with ROCm optimization, Docker scripts, and impressive throughput-convergence results

April 24, 2025 by Yusheng Su, Vicky Tsang, Yao Liu, Phani Vaddadi, Vish Vadlamani, Zicheng Liu

Efficient MoE training on AMD ROCm: How-to use Megablocks on AMD GPUs

Learn how to use Megablocks to pre-train GPT2 Mixture of Experts (MoE) model, helping you scale your deep learning models effectiveness on AMD GPUs using ROCm

March 23, 2025 by Fabricio Flores, Rishi Madduri, Yao Liu, Phani Vaddadi, Vish Vadlamani

Triton Inference Server with vLLM on AMD GPUs

This blog provides a how-to guide on setting up a Triton Inference Server with vLLM backend powered by AMD GPUs, showcasing robust performance with several LLMs

January 08, 2025 by Fabricio Flores, Tiffany Mintz, Eliot Li, Yao Liu, Ted Themistokleous, Brian Pickrell, Vish Vadlamani