What hardware do I need for 21 tok/s Gemma 4 on mini PC?

Ryzen 7000HS series with iGPU (760M+), 64GB+ RAM, Ubuntu 24.04. UM760 Slim validated at 96GB.

How do I install llama.cpp with Vulkan on Ubuntu 24.04?

apt deps (vulkan, glslc), cmake -DGGML_VULKAN=1, make. Test vkcube, then llama-cli.

Best GGUF quant for Ryzen local inference?

Q4_K_M balances speed/quality; Q8_0 for precision if RAM allows.

21 Tokens/Second: Gemma 4 Roars on a Ryzen Mini PC with llama.cpp and Vulkan

Cloud giants promised AI for all, but locked it behind subscriptions. This Ryzen mini PC setup blasts Gemma 4 at 21 tok/s locally—your data stays home, speed stays fierce.

theAIcatchup Apr 10, 2026 4 min read

Minisforum UM760 Slim mini PC running Gemma 4 at 21 tok/s via llama.cpp and Vulkan on Ubuntu

⚡ Key Takeaways

Run Gemma 4 27B at 21 tok/s locally on a $600 Ryzen mini PC—no cloud needed. 𝕏
llama.cpp + Vulkan on AMD iGPU crushes setup barriers for personal AI sovereignty. 𝕏
This heralds AI's PC revolution, mirroring 1980s computing democratization. 𝕏

Published by

theAIcatchup

Community-driven. Code-first.

#Gemma 4 #Llama.cpp #Ryzen mini PC #Vulkan inference #local AI

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Originally reported by Dev.to

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