|
gptkbp:instanceOf
|
gptkb:software
machine learning model server
|
|
gptkbp:category
|
gptkb:artificial_intelligence
gptkb:software
cloud computing
machine learning infrastructure
model serving
|
|
gptkbp:developedBy
|
gptkb:Google
|
|
gptkbp:feature
|
version control
A/B testing
scalability
high performance
monitoring
extensible architecture
multi-model serving
model lifecycle management
batching
canary rollout
customizable APIs
dynamic model reloading
supports TensorFlow models
supports custom model types via plugins
|
|
gptkbp:firstReleased
|
2017
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
TensorFlow Serving
|
|
gptkbp:license
|
gptkb:Apache_License_2.0
|
|
gptkbp:officialWebsite
|
https://www.tensorflow.org/tfx/guide/serving
|
|
gptkbp:partOf
|
TensorFlow ecosystem
|
|
gptkbp:platform
|
gptkb:Linux
gptkb:Docker
gptkb:Kubernetes
|
|
gptkbp:programmingLanguage
|
gptkb:Python
gptkb:C++
|
|
gptkbp:repository
|
https://github.com/tensorflow/serving
|
|
gptkbp:supportsFormat
|
gptkb:Keras
gptkb:TensorFlow_Lite
gptkb:TensorFlow_Hub
gptkb:TensorFlow_SavedModel
gptkb:TensorFlow_Estimator
gptkb:TensorFlow_GraphDef
|
|
gptkbp:supportsProtocol
|
gptkb:REST
gptkb:gRPC
|
|
gptkbp:usedFor
|
model deployment
model versioning
model inference
serving machine learning models
|
|
gptkbp:bfsParent
|
gptkb:TensorFlow_Extended
gptkb:Keras_models
gptkb:TensorFlow_SavedModel
|
|
gptkbp:bfsLayer
|
6
|