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[PyTorch KServe] 관련 링크 본문

개인자료/Kubeflow

[PyTorch KServe] 관련 링크

dataFER 2022. 6. 2. 22:55

Kfserving > KServe 로 바뀌어 이제 KServe는 독립형 오픈소스라 한다.

 

 

참고 링크

KServe Docs webSite
https://kserve.github.io/website/0.8/

 

Home - KServe Documentation Website

ModelMesh is designed for high-scale, high-density and frequently-changing model use cases. ModelMesh intelligently loads and unloads AI models to and from memory to strike an intelligent trade-off between responsiveness to users and computational footprin

kserve.github.io

https://kserve.github.io/website/0.7/sdk_docs/docs/KServeClient/#example_3

 

KServeClient - KServe Documentation Website

KServeClient KServeClient(config_file=None, context=None, client_configuration=None, persist_config=True) User can loads authentication and cluster information from kube-config file and stores them in kubernetes.client.configuration. Parameters are as foll

kserve.github.io

 

Deploy PyTorch model with TorchServe InferenceService
https://kserve.github.io/website/modelserving/v1beta1/torchserve/

 

PyTorch - KServe Documentation Website

Deploy PyTorch model with TorchServe InferenceService In this example, we use a trained pytorch mnist model to predict handwritten digits by running an inference service with TorchServe predictor. Creating model storage with model archive file TorchServe p

kserve.github.io

 

 

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