What are the best strategies for reducing inference latency when deploying large transformer models in production?

How can we make big AI models respond faster when used in real applications?

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I think most people use TGI, vLLM, or SGLang with the appropriate options. For truly large-scale cases, I recommend consulting Expert Support.