Building a Distributed LLM Inference Cluster with AMD Ryzen AI Max+ Systems
By
mindcrime
Lightly browned and well buttered. A solid pick from the rack.
Summary
This article provides a technical guide on building a distributed inference cluster using AMD's Ryzen AI Max+ AI PC platform to run a one trillion-parameter Large Language Model (Kimi K2.5) locally. It demonstrates how to set up a four-node cluster of Framework Desktop systems using llama.cpp RPC and ROCm for distributed inference of state-of-the-art open-source models.
Key quotes
· 3 pulledThis blog post walks through how to build a small-scale distributed inference cluster using AMD's Ryzen AI Max+ AI PC platform and run a one trillion-parameter class Large Language Model using llama.cpp RPC.
A four-node cluster of Framework Desktop systems is used to demonstrate distributed local inference of the state-of-the-art one trillion-parameter Kimi K2.5 open-source model.
Kimi K2.5 is Moonshot AI's most advanced open reasoning model to date, positioned as a state-of-the-art open model for coding, long-horizon reasoning, and agent-style workflows.
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