AMD Launches vLLM-ATOM Plugin to Deeply Optimize the Inference Performance of Domestic Large Models
AMD released the vLLM-ATOM plugin, aiming to fully tap into hardware potential without changing the existing workflow, significantly accelerating the inference of mainstream large language models such as DeepSeek-R1 and Kimi-K2. vLLM is an open-source framework optimized for throughput and GPU memory utilization in high-concurrency scenarios, focusing on request scheduling and cache management. The ATOM plugin further enhances this capability.
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