Posts by Pei Zhang
Accelerating llama.cpp on AMD Instinct MI300X
- 11 December 2025
In this blog, you will learn about the ongoing work at AMD to optimize Large Language Model (LLM) inference using llama.cpp on AMD Instinct GPUs, and how its performance compares against competitive products in the market for common workloads.
Llama.cpp Meets Instinct: A New Era of Open-Source AI Acceleration
- 09 September 2025
Llama.cpp is an open source implementation of a Large Language Model (LLM) inference framework designed to run efficiently on diverse hardware configurations, both locally and in cloud environments. Its plain C/C++ implementation ensures a dependency-free setup, allowing it to seamlessly support various hardware architectures across CPUs and GPUs. The framework offers a range of quantization options, including 1.5-bit to 8-bit integer quantization, to achieve faster inference and reduced memory usage. Llama.cpp is part of an active open-source community within the AI ecosystem, with over 1200 contributors and almost 4000 releases on its official GitHub repository as of early August, 2025. Designed as a CPU-first C++ library, llama.cpp offers simplicity and easy integration with other programming environments - making it widely compatible and rapidly adopted across diverse platforms, especially among consumer devices.