vLLM evaluates GLM-5.3-Flash parallelism on MI300X

Researchers evaluated the throughput and memory capacity of running the GLM-5.3-Flash sparse mixture-of-experts model on an eight-GPU AMD Instinct MI300X node using vLLM. They compared tensor parallelism and data-plus-expert parallelism across various context lengths and found that data parallelism prevents memory bottlenecks as KV caches grow during long-context serving. Open article →