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User seeks help for slow local LLM performance on powerful hardware

A user on Mastodon is seeking help to understand why their local Large Language Model (LLM) setup is not performing well. Despite having a Lenovo P50 laptop with 64GB of RAM and fast SSDs, the user experiences poor performance, contrasting it with smaller Raspberry Pi machines that seem to handle AI tasks effectively. The user suspects their GPU or processor might be inadequate, though they later acknowledge the Raspberry Pi's advantage might stem from a specialized AI chip on its header. AI

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

RANK_REASON User-generated question about personal hardware performance for LLMs, not a significant industry event.

Read on Mastodon — fosstodon.org →

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 · [email protected] ·

    what do i do wrong? I have a Lenovo P50 with 64GB Ram, 2 fast ssd, but lame gpu and not the best proccesor i guess, but why does my LLM localy not perform? I me

    what do i do wrong? I have a Lenovo P50 with 64GB Ram, 2 fast ssd, but lame gpu and not the best proccesor i guess, but why does my LLM localy not perform? I mean, there are RaspberryPI machinet wit an AI Header who only has 8gb ram I use the same models , i tried ollama qwen ffs…