Vertex AI Endpoints

GPTKB entity

Statements (50)
Predicate Object
gptkbp:instanceOf gptkb:cloud_service
gptkbp:enables A/B testing
model deployment
online prediction
gptkbp:hasFeature logging
monitoring
model monitoring
GPU support
private endpoints
explanations
IAM-based access control
CPU support
endpoint monitoring
custom prediction routines
endpoint authentication
endpoint authorization
endpoint autoscaling
endpoint creation
endpoint deletion
endpoint description
endpoint health checks
endpoint labels
endpoint metadata
endpoint resource management
endpoint traffic allocation
endpoint update
endpoint version management
error metrics
latency metrics
multi-model deployment
prediction logging
public endpoints
request/response logging
scaling policies
https://www.w3.org/2000/01/rdf-schema#label Vertex AI Endpoints
gptkbp:integratesWith gptkb:Vertex_AI_Model_Registry
gptkb:Vertex_AI_Pipelines
gptkb:Vertex_AI_Workbench
gptkbp:partOf gptkb:Vertex_AI
gptkbp:provides gptkb:Google_Cloud_Platform
gptkbp:supports gptkb:REST_API
gptkb:gRPC_API
versioning
auto-scaling
traffic splitting
custom containers
pre-built containers
gptkbp:usedFor serving machine learning models
gptkbp:bfsParent gptkb:Vertex_AI
gptkbp:bfsLayer 5