Field intelligence for AI-first professionalsVol. II · Nº 53 · Friday, July 24, 2026
Build Your Own Private AI Lab track
Module 02 of 8~16 minAccount

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.


§  You will 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
§  Sealed entry

This module is on file for account holders.

5 sections · ~16 min · objectives above are the preview