Raspberry Pi 5 cluster runs Qwen3-30B-A3B at 15 tokens/s on CPU

· Linuxgizmos · Oct. 7, 2026, 3:54 a.m.
Software 15 tokens/s ARM Cortex-A76 Cluster Machine Learning Raspberry Pi distributed-systems language models
Summary
This blog post discusses a study by Hellomatik showcasing how to run the Qwen3-30B-A3B language model across four Raspberry Pi 5 boards, achieving 15.143 tokens per second using only CPU resources. No GPU or CPU overclocking was needed, highlighting an innovative use of Raspberry Pi for running complex language models.
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