AMD now supports Google’s Gemma 4 models (2B–31B parameters) across its entire hardware lineup, including Instinct GPUs (datacenters), Radeon GPUs (workstations), and Ryzen AI processors (PCs). The integration is compatible with vLLM, SGLang, llama.cpp, Ollama, and Lemonade Server, aiming to optimize AI performance for both cloud and local deployment.
This article details how to enable full eGPU acceleration on the Raspberry Pi 500+ with a 15-line patch, resulting in significant performance improvements for gaming and local LLMs. It covers the necessary hardware, software modifications, and benchmark results.
