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Netflix built an in-house LLM serving platform using vLLM and NVIDIA Triton Inference Server. The system runs inside Netflix's existing production environment, not a separate ML silo. Key decisions included engine selection, model packaging, API surface design, and deployment strategy. Production revealed gaps like silent response_format dropping and observability issues with vLLM metrics.
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