Vertex AI Training

GPTKB entity

Statements (53)
Predicate Object
gptkbp:instanceOf gptkb:cloud_service
gptkbp:enables custom machine learning model training
gptkbp:feature GPU support
automatic resource scaling
TPU support
custom training jobs
managed datasets
pre-built containers
training job IAM roles
training job artifacts
training job audit logs
training job billing
training job custom images
training job dependency management
training job encryption
training job environment variables
training job input data configuration
training job monitoring
training job network configuration
training job notifications
training job output storage
training job preemption
training job quotas
training job region selection
training job resource monitoring
training job retry policies
training job scheduling
training job security
training job service accounts
training job versioning
training logs
training metrics
https://www.w3.org/2000/01/rdf-schema#label Vertex AI Training
gptkbp:integratesWith gptkb:Google_Cloud_Storage
gptkb:Vertex_AI_Experiments
gptkb:Vertex_AI_Model_Registry
gptkb:Vertex_AI_Pipelines
gptkb:Vertex_AI_Workbench
gptkb:BigQuery
gptkb:Cloud_Logging
gptkb:Cloud_Monitoring
gptkbp:offeredBy gptkb:Google_Cloud_Platform
gptkbp:partOf gptkb:Vertex_AI
gptkbp:supports gptkb:TensorFlow
gptkb:XGBoost
gptkb:PyTorch
gptkb:scikit-learn
hyperparameter tuning
distributed training
custom containers
gptkbp:bfsParent gptkb:Vertex_AI
gptkb:AI_Platform_Training
gptkbp:bfsLayer 5