Sophie Zhang

Sophie Zhang

AI Infrastructure & Open Source Reporter

Sophie is a journalist and former systems engineer who covers AI infrastructure, open-source models, and the developer tooling ecosystem. She spent three years as a site reliability engineer at a cloud provider in Seattle before transitioning to tech journalism, which gives her writing an unusual level of technical depth - she understands distributed systems, GPU clusters, and inference optimization from the inside.

She studied Computer Engineering at the University of British Columbia and later completed a science communication fellowship at MIT. Her engineering background means she can read a model card, spot a misleading benchmark, and explain why quantization matters - all in the same paragraph.

At Awesome Agents, Sophie covers AI infrastructure news: new model releases, open-source launches, developer tools, deployment trends, and the hardware that makes it all run. She has a soft spot for underdog open-source projects that punch above their weight and a sharp eye for when a "breakthrough" is really just better marketing.

Based in Seattle, WA.

Articles by Sophie Zhang
A $900 RTX 3090 Now Beats an M5 Max at LLM Inference

A $900 RTX 3090 Now Beats an M5 Max at LLM Inference

Two researchers fused all 24 layers of Qwen 3.5-0.8B into a single CUDA kernel launch, making a five-year-old RTX 3090 deliver 1.8x the throughput of an M5 Max at equal or better efficiency. The gap was software, not silicon.