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Scalable Inference Serving

A collection of APIs, frameworks, and platforms for scalable machine learning model inference serving, deployment, and management. This includes the KServe Open Inference Protocol (the CNCF standard for model serving on Kubernetes), BentoML (developer packaging and serving), vLLM (high-throughput LLM inference), NVIDIA Triton Inference Server, and supporting observability and registry tools. KServe recently joined CNCF as an incubating project (November 2025).

Scalable Inference Serving publishes 4 APIs on the APIs.io network, including Health API, Inference API, Metadata API, and 1 more. Tagged areas include AI, CNCF, Deployment, Inference, and Kubernetes.

The Scalable Inference Serving catalog on APIs.io includes 1 JSON-LD context and 2 Spectral governance rulesets.

Scalable Inference Serving’s developer surface includes authentication, getting-started guide, engineering blog, and 9 more developer resources.

🌐 Visit website 📡 Source on GitHub
40.9/100 thin ▬ flat Agent 44/100 agent ready Full breakdown ↓
scored 2026-08-05 · rubric v0.9.1
AccessEnterpriseApproval
9 APIs
AICNCFDeploymentInferenceKubernetesLLMMachine LearningModel ServingMLOpsScalability

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-08-05 · rubric v0.9.1
Composite quality — 40.9/100 · thin
Contract Quality 16.9 / 25
Developer Ergonomics 4.8 / 20
Commercial Clarity 5.8 / 20
Operational Transparency 3.4 / 13
Governance 4.5 / 12
Discoverability 5.6 / 10
Agent readiness — 44/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 10 / 10
MCP Server 0 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 8 / 8
Request/Response Examples 7 / 7
Rate-Limit Signaling 7 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
A2A Agent Card 0 / 8
Dry-Run / Simulate Mode 0 / 4
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/scalable-inference-serving: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 9

Individual APIs this provider publishes, each with its own machine-readable definition.

BentoML REST API

BentoML is an open-source unified inference platform for deploying and scaling AI models. It auto-generates RESTful APIs from Python service definitions, provides built-in OpenA...

vLLM OpenAI-Compatible API

vLLM is a high-throughput and memory-efficient inference engine for LLMs, implementing PagedAttention for efficient KV cache management. vLLM exposes an OpenAI-compatible REST A...

NVIDIA Triton Inference Server HTTP API

NVIDIA Triton Inference Server is an open-source inference serving software that implements the KServe Open Inference Protocol (V2). Supports TensorRT, ONNX, TensorFlow, PyTorch...

MLflow Model Registry REST API

MLflow is an open source platform for managing the ML lifecycle, including experiment tracking, reproducibility, and deployment. The MLflow REST API manages experiments, runs, m...

Ray Serve REST API

Ray Serve is a scalable model serving library built on Ray, designed for building online inference APIs. Supports composable deployments, autoscaling, HTTP ingress, gRPC, WebSoc...

Scalable Inference Serving Health API

Server and model liveness and readiness probes

Scalable Inference Serving Inference API

Model inference request endpoints

Scalable Inference Serving Metadata API

Server and model metadata endpoints

Scalable Inference Serving Models API

Model management and metadata operations

Scroll for all 9

Open Collections 1

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

KServe Open Inference Protocol API

OPEN COLLECTION

Pricing Plans 1

Published pricing tiers and plan structures.

Scalable Inference Serving Plans Pricing

1 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Scalable Inference Serving Rate Limits

1 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals for API financial operations.

Scalable Inference Serving Finops

FINOPS

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Scalable Inference Serving Context

12 classes · 11 properties

JSON-LD

Spectral Rules 2

Spectral governance rulesets for linting and validating these APIs.

Scalable Inference Serving API Rules

17 rules · 5 errors 9 warnings 3 info

SPECTRAL

Scalable Inference Serving API Rules

6 rules · 5 warnings 1 info

SPECTRAL

JSON Schema 15

Standalone JSON Schema definitions for this provider's data models.

Inference Request

4 properties

JSON SCHEMA

Model Metadata

5 properties

JSON SCHEMA

ErrorResponse

1 properties

JSON SCHEMA

InferenceRequest

4 properties

JSON SCHEMA

InferenceResponse

5 properties

JSON SCHEMA

ModelMetadataResponse

5 properties

JSON SCHEMA

ModelReadyResponse

2 properties

JSON SCHEMA

RequestInput

5 properties

JSON SCHEMA

RequestOutput

2 properties

JSON SCHEMA

ResponseOutput

5 properties

JSON SCHEMA

ServerLiveResponse

1 properties

JSON SCHEMA

ServerMetadataResponse

3 properties

JSON SCHEMA

ServerReadyResponse

1 properties

JSON SCHEMA

TensorDatatype

0 properties

JSON SCHEMA

TensorMetadata

4 properties

JSON SCHEMA

Scroll for all 15

JSON Structure 2

JSON Structure definitions describing this provider's data shapes.

Kserve Inference Request Structure

0 properties

JSON STRUCTURE

Scalable Inference Serving Structure

0 properties

JSON STRUCTURE

Examples 9

Example request and response payloads for these APIs.

Kserve Check Server Liveness Example

2 fields

EXAMPLE

Kserve Get Model Metadata Example

2 fields

EXAMPLE

Kserve Run Inference Example

2 fields

EXAMPLE

Scalable Inference Serving Checkmodelreadiness Example

6 fields

EXAMPLE

Scalable Inference Serving Checkserverliveness Example

6 fields

EXAMPLE

Scalable Inference Serving Checkserverreadiness Example

6 fields

EXAMPLE

Scalable Inference Serving Getmodelmetadata Example

6 fields

EXAMPLE

Scalable Inference Serving Getservermetadata Example

6 fields

EXAMPLE

Scalable Inference Serving Runinference Example

6 fields

EXAMPLE

Scroll for all 9

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Scalable Inference Serving Agentic Access

9 operations · 2 acting

9 operations · 2 acting

AGENTIC

Resources

Get Started 1

Portal, sign-up, and the first successful call

GettingStarted
GettingStarted

Documentation 3

Reference material describing how the API behaves

OpenAPI
OpenAPI
 JSONSchema
JSONSchema
 JSONSchema
JSONSchema

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess
AgenticAccess

Design & Contract 3

Pagination, idempotency, versioning, errors, and events

SpectralRuleset
SpectralRuleset
 JSONLD
JSONLD
 Vocabulary
Vocabulary

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization
GitHubOrganization

Access & Security 1

Authentication, authorization, and security posture

Authentication
Authentication

Company 1

The organization behind the API

Blog
Blog

Other 1

Properties that don't map to a standard resource type

CNCF Landscape
CNCF Landscape

Source (apis.yml)

apis.yml Raw ↑ 
name: Scalable Inference Serving
description: A collection of APIs, frameworks, and platforms for scalable machine learning model inference serving, deployment,
  and management. This includes the KServe Open Inference Protocol (the CNCF standard for model serving on Kubernetes), BentoML
  (developer packaging and serving), vLLM (high-throughput LLM inference), NVIDIA Triton Inference Server, and supporting
  observability and registry tools. KServe recently joined CNCF as an incubating project (November 2025).
accessModel:
  pricing: enterprise
  onboarding: approval
  trial: false
  try_now: false
  public: false
  label: Enterprise · Requires approval
  confidence: medium
  source:
  - plans
  generated: '2026-07-22'
  method: derived
image: https://kserve.github.io/website/images/KServe.png
url: https://raw.githubusercontent.com/api-evangelist/scalable-inference-serving/refs/heads/main/apis.yml
created: '2024-01-01'
modified: '2026-05-19'
specificationVersion: '0.18'
tags:
- AI
- CNCF
- Deployment
- Inference
- Kubernetes
- LLM
- Machine Learning
- Model Serving
- MLOps
- Scalability
apis:
- name: BentoML REST API
  description: BentoML is an open-source unified inference platform for deploying and scaling AI models. It auto-generates
    RESTful APIs from Python service definitions, provides built-in OpenAPI/Swagger documentation, supports adaptive batching,
    and integrates with KServe for Kubernetes deployment. BentoML 1.0 introduced the Runner abstraction for parallelizing
    inference workloads with adaptive batching and independent scaling of pre/post-processing from model inference.
  image: https://www.bentoml.com/favicon.ico
  humanUrl: https://www.bentoml.com/
  baseUrl: https://api.bentoml.example.com
  tags:
  - Batching
  - Inference
  - Model Serving
  - Open Source
  - Python
  - REST API
  properties:
  - type: Documentation
    url: https://docs.bentoml.com/en/latest/
  - type: GitHub
    url: https://github.com/bentoml/BentoML
  - type: GettingStarted
    url: https://docs.bentoml.com/en/latest/get-started/quickstart.html
  - type: Pricing
    url: https://www.bentoml.com/pricing
  - type: APIReference
    url: https://docs.bentoml.com/en/latest/reference/index.html
  contact:
  - type: Community
    url: https://l.bentoml.com/join-slack
  - type: GitHubIssues
    url: https://github.com/bentoml/BentoML/issues
- name: vLLM OpenAI-Compatible API
  description: vLLM is a high-throughput and memory-efficient inference engine for LLMs, implementing PagedAttention for efficient
    KV cache management. vLLM exposes an OpenAI-compatible REST API allowing seamless migration from OpenAI endpoints. In
    2026, vLLM integrates with KServe via LLMInferenceService and llm-d for production-grade distributed LLM inference. Powers
    major LLM deployments at scale.
  image: https://docs.vllm.ai/en/stable/_static/logo/vllm-logo-text-light.png
  humanUrl: https://docs.vllm.ai/
  baseUrl: https://vllm.example.com/v1
  tags:
  - GPU
  - Inference
  - KV Cache
  - LLM
  - Model Serving
  - Open Source
  - OpenAI-Compatible
  properties:
  - type: Documentation
    url: https://docs.vllm.ai/en/stable/
  - type: GitHub
    url: https://github.com/vllm-project/vllm
  - type: APIReference
    url: https://docs.vllm.ai/en/stable/serving/openai_compatible_server.html
  - type: ChangeLog
    url: https://github.com/vllm-project/vllm/releases
  contact:
  - type: GitHubIssues
    url: https://github.com/vllm-project/vllm/issues
  - type: Slack
    url: https://vllm-dev.slack.com/
- name: NVIDIA Triton Inference Server HTTP API
  description: NVIDIA Triton Inference Server is an open-source inference serving software that implements the KServe Open
    Inference Protocol (V2). Supports TensorRT, ONNX, TensorFlow, PyTorch, and Python backends. Provides dynamic batching,
    model ensembles, model analyzers, and GPU/CPU inference. Used extensively in production ML pipelines requiring maximum
    throughput.
  image: https://developer.nvidia.com/favicon.ico
  humanUrl: https://developer.nvidia.com/triton-inference-server
  baseUrl: https://triton.example.com
  tags:
  - GPU
  - Inference
  - Model Serving
  - NVIDIA
  - Open Source
  - TensorRT
  - Triton
  properties:
  - type: Documentation
    url: https://docs.nvidia.com/deeplearning/triton-inference-server/user-guide/docs/
  - type: GitHub
    url: https://github.com/triton-inference-server/server
  - type: GettingStarted
    url: https://github.com/triton-inference-server/tutorials
  - type: APIReference
    url: https://docs.nvidia.com/deeplearning/triton-inference-server/user-guide/docs/customization_guide/inference_protocols.html
  contact:
  - type: GitHubIssues
    url: https://github.com/triton-inference-server/server/issues
  - type: Forums
    url: https://forums.developer.nvidia.com/c/ai-data-science/deep-learning/triton-inference-server/
- name: MLflow Model Registry REST API
  description: MLflow is an open source platform for managing the ML lifecycle, including experiment tracking, reproducibility,
    and deployment. The MLflow REST API manages experiments, runs, metrics, parameters, artifacts, and the Model Registry
    for versioning and staging model deployments. CNCF-adjacent; used with KServe for model lifecycle management.
  image: https://mlflow.org/favicon.ico
  humanUrl: https://mlflow.org/
  baseUrl: https://mlflow.example.com/api/2.0
  tags:
  - Experiment Tracking
  - Machine Learning
  - Model Registry
  - MLOps
  - Open Source
  - Versioning
  properties:
  - type: Documentation
    url: https://mlflow.org/docs/latest/rest-api.html
  - type: GitHub
    url: https://github.com/mlflow/mlflow
  - type: GettingStarted
    url: https://mlflow.org/docs/latest/getting-started/intro-quickstart/
  - type: APIReference
    url: https://mlflow.org/docs/latest/rest-api.html
  contact:
  - type: Community
    url: https://github.com/mlflow/mlflow/discussions
  - type: GitHubIssues
    url: https://github.com/mlflow/mlflow/issues
- name: Ray Serve REST API
  description: Ray Serve is a scalable model serving library built on Ray, designed for building online inference APIs. Supports
    composable deployments, autoscaling, HTTP ingress, gRPC, WebSockets, and request batching. Integrates with any ML framework.
    The Ray Serve dashboard and REST API manage deployments, replicas, routes, and application status.
  image: https://www.ray.io/favicon.ico
  humanUrl: https://docs.ray.io/en/latest/serve/index.html
  baseUrl: https://ray-serve.example.com
  tags:
  - Autoscaling
  - Inference
  - Machine Learning
  - Model Serving
  - Open Source
  - Python
  - Ray
  properties:
  - type: Documentation
    url: https://docs.ray.io/en/latest/serve/index.html
  - type: GitHub
    url: https://github.com/ray-project/ray
  - type: GettingStarted
    url: https://docs.ray.io/en/latest/serve/getting_started.html
  - type: APIReference
    url: https://docs.ray.io/en/latest/serve/api/index.html
  contact:
  - type: Community
    url: https://discuss.ray.io/
  - type: GitHubIssues
    url: https://github.com/ray-project/ray/issues
- aid: scalable-inference-serving:scalable-inference-serving-health-api
  name: Scalable Inference Serving Health API
  description: Server and model liveness and readiness probes
  tags:
  - Health
  properties:
  - type: OpenAPI
    url: openapi/scalable-inference-serving-health-api-openapi.yml
  - type: Documentation
    url: https://kserve.github.io/website/docs/intro
  - type: GitHub
    url: https://github.com/kserve/kserve
  - type: ChangeLog
    url: https://github.com/kserve/kserve/releases
  - type: GettingStarted
    url: https://kserve.github.io/website/docs/get_started/
  - type: SwaggerUI
    url: https://kserve.github.io/website/latest/reference/swagger-ui/
- aid: scalable-inference-serving:scalable-inference-serving-inference-api
  name: Scalable Inference Serving Inference API
  description: Model inference request endpoints
  tags:
  - Inference
  properties:
  - type: OpenAPI
    url: openapi/scalable-inference-serving-inference-api-openapi.yml
  - type: Documentation
    url: https://kserve.github.io/website/docs/intro
  - type: GitHub
    url: https://github.com/kserve/kserve
  - type: ChangeLog
    url: https://github.com/kserve/kserve/releases
  - type: GettingStarted
    url: https://kserve.github.io/website/docs/get_started/
  - type: SwaggerUI
    url: https://kserve.github.io/website/latest/reference/swagger-ui/
- aid: scalable-inference-serving:scalable-inference-serving-metadata-api
  name: Scalable Inference Serving Metadata API
  description: Server and model metadata endpoints
  tags:
  - Metadata
  properties:
  - type: OpenAPI
    url: openapi/scalable-inference-serving-metadata-api-openapi.yml
  - type: Documentation
    url: https://kserve.github.io/website/docs/intro
  - type: GitHub
    url: https://github.com/kserve/kserve
  - type: ChangeLog
    url: https://github.com/kserve/kserve/releases
  - type: GettingStarted
    url: https://kserve.github.io/website/docs/get_started/
  - type: SwaggerUI
    url: https://kserve.github.io/website/latest/reference/swagger-ui/
- aid: scalable-inference-serving:scalable-inference-serving-models-api
  name: Scalable Inference Serving Models API
  description: Model management and metadata operations
  tags:
  - Models
  properties:
  - type: OpenAPI
    url: openapi/scalable-inference-serving-models-api-openapi.yml
  - type: Documentation
    url: https://kserve.github.io/website/docs/intro
  - type: GitHub
    url: https://github.com/kserve/kserve
  - type: ChangeLog
    url: https://github.com/kserve/kserve/releases
  - type: GettingStarted
    url: https://kserve.github.io/website/docs/get_started/
  - type: SwaggerUI
    url: https://kserve.github.io/website/latest/reference/swagger-ui/
common:
- type: AgenticAccess
  url: agentic-access/scalable-inference-serving-agentic-access.yml
- type: Authentication
  url: https://kserve.github.io/website/docs/intro
- type: GettingStarted
  url: https://kserve.github.io/website/docs/get_started/
- type: GitHubOrganization
  url: https://github.com/kserve
- type: CNCF Landscape
  url: https://landscape.cncf.io/card-mode?project=incubating
- type: Blog
  url: https://kserve.github.io/website/blog/
- type: OpenAPI
  url: https://raw.githubusercontent.com/api-evangelist/scalable-inference-serving/main/openapi/kserve-open-inference-protocol-openapi.yml
- type: SpectralRuleset
  url: https://raw.githubusercontent.com/api-evangelist/scalable-inference-serving/main/rules/kserve-open-inference-protocol-rules.yml
- type: JSONSchema
  url: https://raw.githubusercontent.com/api-evangelist/scalable-inference-serving/main/json-schema/kserve-inference-request-schema.json
- type: JSONSchema
  url: https://raw.githubusercontent.com/api-evangelist/scalable-inference-serving/main/json-schema/kserve-model-metadata-schema.json
- type: JSONLD
  url: https://raw.githubusercontent.com/api-evangelist/scalable-inference-serving/main/json-ld/scalable-inference-serving-context.jsonld
- type: Vocabulary
  url: https://raw.githubusercontent.com/api-evangelist/scalable-inference-serving/main/vocabulary/scalable-inference-serving-vocabulary.yml
maintainers:
- name: API Evangelist
  email: kin@apievangelist.com
  url: https://apievangelist.com