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User runs advanced LLM on old PC without GPU

A user on Reddit's r/LocalLLaMA community shared their experience running the Gemma-4-26B-A4B language model on a low-spec computer without a dedicated GPU. The user reported impressive performance, achieving approximately 7 T/s on an older i5 processor with 32GB of RAM, suggesting that high-end GPUs may not be necessary for utilizing advanced LLMs. AI

IMPACT Demonstrates that advanced LLMs can be accessible on older, less powerful hardware, potentially lowering the barrier to entry for users.

RANK_REASON User-generated content discussing the performance of an LLM on consumer hardware, not a formal release or benchmark.

Read on r/LocalLLaMA →

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

COVERAGE [1]

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

    You don't need a GPU to run gemma-4-26B-A4B

    <!-- SC_OFF --><div class="md"><p>I've been running LLMs on my old potato i5-8500 with 32GB of RAM and *no GPU* for awhile now, running up to 12B dense models which run slow but perfectly useable. But this Gemma-4-26B-A4B simply flies on this CPU - only machine using Koboldcpp on…