From llama.cpp to vLLM: Inside the Architecture of a Production LLM MaaS Platform

Tue, 22 Sep 2026 18:28:18 +0800

From llama.cpp to vLLM: Inside the Architecture of a Production LLM MaaS Platform

When we first start working with open-source LLMs, the problem looks deceptively simple:

How do I run this model?

Download a model, load it into an inference runtime, send a prompt, and get a response.

Projects such as llama.cpp have made this experience remarkably accessible. Its goal is to provide efficient LLM and VLM inference with minimal setup across a wide range of hardware, including CPUs, Apple Silicon, NVIDIA and AMD GPUs, and other accelerators. It also supports low-bit quantization and CPU+GPU hybrid inference. (GitHub)

MaaS on Wissen Xue Blog

From llama.cpp to vLLM: Inside the Architecture of a Production LLM MaaS Platform

From llama.cpp to vLLM: Inside the Architecture of a Production LLM MaaS Platform