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System Design for AI in Production / 15
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Design an LLM inference platform (vLLM-as-a-service) serving many models and teams.

Scarce GPUs, dozens of models, every team wanting low latency at low cost. The signal is whether you can turn that into one governed serving fleet: continuous batching, KV cache, per-tenant quotas, and cost you can actually attribute.

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

Scarce GPUs, dozens of models, every team wanting low latency at low cost. The signal is whether you can turn that into one governed serving fleet: continuous batching, KV cache, per-tenant quotas, and cost you can actually attribute.

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