Large language model workloads can be categorized into offline, online, and semi-online types, each requiring different architectures and optimizations to achieve maximum throughput and low latency. The choice of inference engine, such as vLLM or SGLang, and hardware, including GPUs like H100s and H200s, depends on the specific workload and requirements, with considerations for memory ...