Apple Silicon LLM

Key Insight

Running large language models on Apple Silicon leverages unified memory architecture to perform inference on models that would otherwise require multiple datacenter GPUs. By using native frameworks like MLX or lightweight engines like llama.cpp, CPU and GPU cores can access model parameters simultaneously without the slow step of transferring data over a PCIe bus. This makes consumer-grade hardware highly effective for local model development, prototyping, and private deployment.