ik_llama.cpp Unlocks Real Multi-GPU Performance
ik_llama.cpp delivers breakthrough multi-GPU performance for large language models, enabling efficient parallel processing across multiple graphics cards for
Someone stumbled onto ik_llama.cpp, a fork that finally makes multi-GPU setups actually useful for local LLMs - not just pooling VRAM, but getting real 3x-4x speed gains.
The trick is their new “split mode graph” execution that maxes out all GPUs simultaneously instead of the half-baked scaling we had before.
Why it matters: Instead of dropping $5k on a single enterprise GPU, you can grab 2-3 cheaper consumer cards and get better performance.
Check it out at https://github.com/ikawrakow/ik_llama.cpp
The breakthrough happened over the holidays, so it’s pretty fresh. Perfect timing too, since GPU prices are ridiculous right now. Works great in homelabs or cloud setups where you can just throw more budget GPUs at the problem instead of buying the absolute top-tier hardware.
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