AMD has officially launched the vLLM-ATOM plugin, specifically designed for the deployment of large language models. This plugin optimizes the inference performance of mainstream domestic large models, such as DeepSeek-R1, on AMD hardware without altering existing workflows. As an extension of vLLM, the vLLM-ATOM plugin provides optimized solutions for the Instinct series of GPUs, enabling 'zero-cost' deployment where users do not need to modify their original APIs or workflows. Its architecture is divided into three layers, integrating Mixture of Experts (MoE) models and quantization techniques. The plugin is primarily targeted at AMD Instinct MI350 and MI400 series GPUs, supporting a variety of mainstream Chinese large language models and application scenarios. It lowers the barrier for enterprise-level AI deployment, helping developers achieve more efficient and stable online AI services.