Azure ML endpoint

Managed online inference endpoint on Azure Machine Learning.

Provider: azure
Kind: ML inference
Category: Compute
Official docs: https://learn.microsoft.com/en-us/azure/machine-learning/concept-endpoints-online

Properties · 3 set by this component

property	type	values	required	kind default	this component
accelerator	enum	none \| gpu \| asic	no	none	inherited
acceleratorModel · advanced	enum	nvidia-h100 \| nvidia-h200 \| nvidia-b200 \| nvidia-l4 \| nvidia-a100 \| amd-mi300x \| aws-trainium \| aws-inferentia \| google-tpu \| intel-gaudi \| groq-lpu \| cerebras-wse	no	—	inherited
embeddingSyncMinutes · advanced	integer	—	no	—	inherited
endpointType · component property	enum	managed-online \| kubernetes	no	managed-online	inherited
inputs	enum	live \| historical \| both	no	live	▸ live
instances	integer	—	no	—	inherited
managed	boolean	—	no	false	▸ true
snapshotToObjectStore · advanced	boolean	—	no	false	inherited
training	enum	batch \| online	no	batch	▸ 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 redundancyerror

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: "ml-endpoint", component: "azure-ml-endpoint" }

Other ML inference products · 37

SageMaker endpointsagemaker-endpointawsml-inference Workers AIcloudflare-workers-aicloudflareml-inference Anyscale Endpointsanyscale-endpointsml-inference Bananabanana-devml-inference Basetenbasetenml-inference Beambeam-cloudml-inference BentoMLbentomlml-inference Hugging Face Inference Endpointshuggingface-inferenceml-inference Infinityinfinity-embeddingsml-inference Janjanml-inference KServekserveml-inference llama.cpp serverllama-cpp-serverml-inference llm-dllm-dml-inference LM Studiolm-studioml-inference LMDeploylmdeployml-inference LocalAIlocalaiml-inference Generic ML inferenceml-inferenceml-inference MLC LLMmlc-llmml-inference Modalmodalml-inference Mystic AImystic-aiml-inference NVIDIA NIM (self-hosted)nvidia-nimml-inference OctoAIoctoaiml-inference Ollamaollamaml-inference Ray Serveray-serveml-inference Seldon Coreseldon-coreml-inference SGLangsglangml-inference TensorFlow Servingtensorflow-servingml-inference TensorRT-LLMtensorrt-llmml-inference Text Embeddings Inferencetext-embeddings-inferenceml-inference Text Generation Inferencetext-generation-inferenceml-inference TorchServetorchserveml-inference NVIDIA Tritontritonml-inference vLLMvllmml-inference Xinferencexinferenceml-inference Vertex AI endpointvertex-ai-endpointgcpml-inference OCI Data Science Model Deploymentoci-data-science-model-deploymentociml-inference OCI Generative AI Dedicated AI Clusteroci-generative-ai-clusterociml-inference

Source

1# yaml-language-server: $schema=../../schema/component.schema.json
2# Azure Machine Learning online endpoint: managed model hosting on Azure-managed compute by default.
3schemaVersion: "1"
4type: "component"
5id: "azure-ml-endpoint"
6kind: "ml-inference"
7provider: "azure"
8docs: "https://learn.microsoft.com/en-us/azure/machine-learning/concept-endpoints-online"
9defaults:
10  managed: true
11  training: "batch"
12  inputs: "live"
13properties:
14  endpointType:
15    type: "enum"
16    values: ["managed-online", "kubernetes"]
17    default: "managed-online"

The same page as markdown, for an agent: /catalogue/components/azure-ml-endpoint.md