SGLang-ATOM: Bring ROCm-Native Acceleration to SGLang Serving

Large language model serving teams often face two competing goals: keeping the flexibility and developer velocity of an ecosystem serving framework, while also reaching strong throughput, latency, and cost efficiency on production accelerators. In this blog, you will explore how SGLang-ATOM bridges these needs for AMD Instinct GPUs by connecting the SGLang serving experience with ATOM’s ROCm-native execution path.