Build Your Own Private AI Lab Track/Your Inference Engine: llama.cpp
Build Your Own Private AI Lab Track
Module 2 of 8

Your Inference Engine: llama.cpp

Why llama.cpp is the foundation, choosing your backend (CUDA for NVIDIA, Metal for Apple, Vulkan for AMD), installing on Windows, running your first model, and exposing an OpenAI-compatible API with llama-server.

16 min read

What You'll Learn

  • Explain why llama.cpp is the foundation of most local AI stacks
  • Choose the right compute backend for your hardware (Vulkan, ROCm, CUDA, or Metal)
  • Install llama.cpp on Windows without compiling from source
  • Run a model and expose it as an OpenAI-compatible API that every other tool can use

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