kfserving

우야·2021년 5월 26일
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Serving 고려사항

  1. Cost
    • Resource, Scale
  2. Monitoring
    • health, performance, trace, log, prediction, anomaly dectection
  3. Rollouts
    • Rollout, Rollback safe
  4. Protocal
    • HTTP, GRPC, Kafka
  5. Prediction
    • Realtime, Batch
  6. Frameworks
    • Tensorflow, Pytorch, XGBoost

Inference Service 기능 (predictor, explainer, outlier detector)

Inference Service 구조 (kfserving 0.5)

Multi-model serving (v2)

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Fullstack developer

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