Apple Silicon and macOS VMs: 11–16× Faster LLM Inference with Llama.cpp

Scale computer-use 2.0 with open-source drivers, cross-OS fleets, and benchmarks for training, evaluation, and data generation. - trycua/cua
304 points by frabonacci 71 days ago github.com 43 comments

Summary

Learn how open-source drivers and cross-OS fleets can significantly enhance the performance of LLM inference using Llama.cpp, achieving impressive speed improvements in various benchmarks. This insight is crucial for those looking to optimize their machine learning workflows on Apple Silicon.

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