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APAC LLM Inference Serving 2026: SGLang, TensorRT-LLM, and LMDeploy

vLLM is the default starting point for APAC self-hosted LLM serving, but three specialized frameworks outperform it in specific scenarios: SGLang for structured output APIs (3-5× throughput), TensorRT-LLM for maximum NVIDIA H100 utilization (up to 2.5× faster), and LMDeploy for APAC-language models like Qwen and InternLM. This guide maps each framework to APAC workload patterns with cost scenarios.

AE By AIMenta Editorial Team ·

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