FloatLLM: A Zero-Copy Inference Engine for Running 405B-Parameter Large Models on Edge Devices

Introduction / Main Post: FloatLLM: A Zero-Copy Inference Engine for Running 405B-Parameter Large Models on Edge Devices

FloatLLM is a hardware-agnostic large language model inference engine developed in C++. Using dynamic zero-copy memory chunking technology, it enables large models with up to 405B parameters to run efficiently on low-memory devices. This article provides an in-depth analysis of its core technical principles, architectural design, and practical application scenarios.