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User seeks advice on M5 Ultra vs. dual DGX Spark for local LLM hardware

A user on r/LocalLLaMA is seeking advice on hardware for running large language models locally. They are deciding between a single M5 Ultra with 256GB of memory or two DGX Spark units. The user has researched that while the M5 Ultra offers comparable or slightly better token generation speed, the dual DGX Sparks excel in prompt processing and handling multiple parallel requests, which is crucial for agentic coding tasks. They are aware of a potential performance trade-off but aim to run larger models and are looking for user experiences and metrics to finalize their decision. AI

RANK_REASON This is a user query on a forum asking for hardware recommendations, not a news event.

Read on r/LocalLLaMA →

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

User seeks advice on M5 Ultra vs. dual DGX Spark for local LLM hardware

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This is a user query on a forum asking for hardware recommendations, not a news event.
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COVERAGE [1]

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

    M5 Ultra 256GB or 2x DGX Spark? Which one?

    <!-- SC_OFF --><div class="md"><p>Currently contemplating adding either M5 Ultra 256GB or dual DGX Spark in addition to existing 5090. </p> <p>I have been researching for past few days and have zeroed in on dual sparks because higher throughput for agentic coding / multiple paral…