TensorFlow Serving

ML inferencetensorflow-serving

Self-hosted gRPC/REST server for TensorFlow and other saved models.

Provider
default
Category
Compute
Properties · 2 set by this component
propertytypevaluesrequiredkind defaultthis component
acceleratorenumnone | gpu | asicnononeinherited
acceleratorModel · advancedenumnvidia-h100 | nvidia-h200 | nvidia-b200 | nvidia-l4 | nvidia-a100 | amd-mi300x | aws-trainium | aws-inferentia | google-tpu | intel-gaudi | groq-lpu | cerebras-wseno—inherited
batching · component propertyboolean—nofalseinherited
embeddingSyncMinutes · advancedinteger—no—inherited
inputsenumlive | historical | bothnolive▸ live
instancesinteger—no—inherited
managedboolean—nofalseinherited
snapshotToObjectStore · advancedboolean—nofalseinherited
trainingenumbatch | onlinenobatch▸ batch
Rules that apply · 1

Every rule whose selector covers this component's kind or its category. Whether a rule fires depends on the design: its properties, its edges and its groups.

stateful-node-without-zone-redundancy

A stateful compute node pinned to exactly one availability zone disappears with that zone, and its state goes with it. Nodes inside a cell are exempt, because there the cell is deliberately single-zone and redundancy comes from the other cells.

  • — all of these hold:
  • — the node's `stateless` is false
  • — the node sits inside exactly 1 availability-zone group
  • — this does not hold:
  • — the node sits inside at least one cell group
Use it in a design
nodes:
  - { id: "tensorflow-serving", component: "tensorflow-serving" }
Other ML inference products · 37
Source
# yaml-language-server: $schema=../../schema/component.schema.json
# TensorFlow Serving: self-hosted gRPC/REST model server; request batching is disabled by default.
schemaVersion: "1"
type: "component"
id: "tensorflow-serving"
kind: "ml-inference"
provider: "default"
docs: "https://www.tensorflow.org/tfx/guide/serving"
defaults:
  training: "batch"
  inputs: "live"
properties:
  batching:
    type: "boolean"
    default: false

The same page as markdown, for an agent: /catalogue/components/tensorflow-serving.md