Adopt
llama.cpp is a high-performance C++ implementation for running all kinds of models on consumer hardware, including CPUs and single GPUs. It offers exceptional performance and flexibility for local inference, but does not support tensor parallelism, making it unsuitable for multi-GPU setups. In those cases, prefer solutions like vLLM or SGLang.
While Ollama is designed for ease of use and broad accessibility, llama.cpp is aimed at professionals who need granular control and maximum performance in single-GPU environments. We recommend adopting llama.cpp as our primary LLM inference framework for single-GPU scenarios due to its superior performance, flexibility, and active community support.