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User seeks to cluster Nvidia DGX Spark and AMD Ryzen AI systems for larger models

A user is inquiring about the possibility of combining their Nvidia DGX Spark and AMD Ryzen AI Max 395 systems, each with 128GB of unified memory, to run larger AI models. They are seeking advice on how to achieve this clustering, potentially by upgrading the AMD system's network interface to match the DGX Spark's higher bandwidth. The goal is to leverage the combined ~256GB of memory to run models like Deepseek v4 Flash, which typically require significant resources. AI

IMPACT Potential for users to combine disparate hardware for running larger AI models.

RANK_REASON User inquiry about combining hardware for AI model deployment.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

User seeks to cluster Nvidia DGX Spark and AMD Ryzen AI systems for larger models

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User inquiry about combining hardware for AI model deployment.
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High
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106 days old
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/StartupTim ·

    Any chance I could cluster my DGX Spark (128GB unified memory) and my AMD Ryzen AI Max 395 (128GM unified memory) together to run 1 model?

    <!-- SC_OFF --><div class="md"><p>Hey all,</p> <p>So I have a Nvidia DGX Spark and an AMD Strix 395, both have 128GB of unified memory. The Spark has 200Gbit network and the AMD Strix has 5Gbit ethernet (but it has a pcie gen 4x4 slot).</p> <p>Is there any chance I can cluster th…