{
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    "Support rollback and fallback behavior"
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  ],
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    "lower latency",
    "better cost efficiency",
    "higher serving reliability",
    "clearer runtime control"
  ],
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    "has operated inference in production",
    "understands routing tradeoffs",
    "controls latency with evidence",
    "treats capacity as an operating constraint"
  ],
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    "model-operations",
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  ],
  "role_titles": [
    "Inference Engineer",
    "Model Serving Engineer",
    "AI Runtime Engineer"
  ],
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    "ray-serve",
    "kserve",
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    {
      "slug": "vllm",
      "technology": "vLLM",
      "category": "inference_infrastructure"
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      "technology": "Ray Serve",
      "category": "inference_infrastructure"
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      "technology": "KServe",
      "category": "inference_infrastructure"
    },
    {
      "slug": "inference-gateway",
      "technology": "Inference Gateway",
      "category": "inference_infrastructure"
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      "slug": "gpu-scheduling",
      "technology": "GPU Scheduling",
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  "metadata": {
    "content_type": "ai_engineering_entity",
    "entityType": "ai_engineering_entity",
    "entityId": "inference-infrastructure",
    "topic": "ai_engineering",
    "year": "2026",
    "authority": "teamstation",
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