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What do model-serving frameworks (Triton, TorchServe, vLLM, TGI) provide, and how do you choose?

You rarely write a serving stack from scratch. The signal is knowing what frameworks hand you (batching, multi-model, GPU scheduling) and why LLM-specific servers exist at all when general ones already batch.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

You rarely write a serving stack from scratch. The signal is knowing what frameworks hand you (batching, multi-model, GPU scheduling) and why LLM-specific servers exist at all when general ones already batch.

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