local LLM inference
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Multi-GPU Breakthrough with ik_llama.cpp
Read Full Article: Multi-GPU Breakthrough with ik_llama.cpp
The ik_llama.cpp project has made a significant advancement in local LLM inference for multi-GPU setups, achieving a 3x to 4x performance improvement. This breakthrough comes from a new execution mode called split mode graph, which allows for the simultaneous and maximum utilization of multiple GPUs. Previously, using multiple GPUs either pooled VRAM or offered limited performance scaling, but this new method enables more efficient use of resources. This development is particularly important as it allows for leveraging multiple low-cost GPUs instead of relying on expensive high-end enterprise cards, making it more accessible for homelabs, server rooms, or cloud environments.
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