In-House LLM Serving at Netflix

Most companies just call a hosted LLM API and move on; Netflix's AI Platform team explains why and how they run the full inference stack themselves instead, inside their existing production environment rather than spinning up a separate ML silo. What's genuinely useful here is the decision-making, not just the architecture — the tradeoffs they weighed on cost, latency, and operational ownership before choosing to build rather than buy. Good grounding if you're evaluating whether your org actually needs to run its own inference infrastructure.

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