Pages in this section Query Serving Query Serving related design docs Pages in this section Consistent lookup vindexes Locking functions Owned Primary Vindexes Replica Tr...

Query Serving Errors a users might encounter while querying Vitess Error Number Error State Message Meaning 1105 HY000 INSERT not supported when targeting a key range: %s When t...

TensorFlow Serving Serving a model Pointing to the model Sending prediction request directly Sending prediction request through ingress and IAP Telemetry and Rolling out model ...

Seldon Serving Kubeflow specifics Examples Feedback Seldon Serving Model serving using Seldon This Kubeflow component has stable status. See theKubeflow versioning policie...

TensorFlow Serving TensorFlow Serving 当我们将模型训练完毕后，往往需要将模型在生产环境中部署。最常见的方式，是在服务器上提供一个API，即客户机向服务器的某个API发送特定格式的请求，服务器收到请求数据后通过模型进行计算，并返回结果。如果仅仅是做一个Demo，不考虑高并发和性能问题，其实配合 Flask 等Py...

Serving WSGI Applications Test Utilities Debugging Applications

Pages in this section Query Serving Query Serving related reference docs Pages in this section Reserved Connections

Serving API autoscaling.internal.knative.dev/v1alpha1 PodAutoscaler Metric MetricSpec MetricStatus PodAutoscalerSpec PodAutoscalerStatus PodScalable PodScalableSpec PodScal...

Serving API autoscaling.internal.knative.dev/v1alpha1 PodAutoscaler Metric MetricSpec MetricStatus PodAutoscalerSpec PodAutoscalerStatus PodScalable PodScalableSpec PodScal...

Configure Deployment resources Configuring gradual rollout of traffic to Revisions Feature and extension flags Configure the Defaults ConfigMap