Netflix Details Its In-House LLM Serving Platform with Triton and vLLM
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Netflix's LLM serving platform deep-dive, highly technical and relevant to ML infrastructure.
Summary
Netflix built its LLM serving platform on its JVM layer with Triton managing models and GPU scheduling while vLLM performs inference. The company pinned Triton and vLLM versions to avoid deployment failures and extended vLLM for custom model architectures beyond Hugging Face compatibility. Constrained decoding required additional logic to rebuild state after vLLM preemptions, and Triton’s vLLM backend was preferred for allowing models and frontends to evolve independently.