ik_llama.cpp Achieves 3-4x Speedup in Multi-GPU LLM Inference
Analysis
Key Takeaways
- •ik_llama.cpp achieves 3-4x speed improvement in multi-GPU LLM inference.
- •New "split mode graph" enables simultaneous and maximum utilization of multiple GPUs.
- •This breakthrough reduces the need for expensive high-end GPUs for local LLM deployment.
“the ik_llama.cpp project (a performance-optimized fork of llama.cpp) achieved a breakthrough in local LLM inference for multi-GPU configurations, delivering a massive performance leap — not just a marginal gain, but a 3x to 4x speed improvement.”