Triton Inference Server

NVIDIA Triton Inference Server provides a cloud and edge inferencing solution optimized for both CPUs and GPUs. Triton supports an HTTP/REST and gRPC protocol that allows remote clients to request inferencing for any model being managed by the server. Open source and part of the broader NVIDIA AI ecosystem, Triton implements the KServe V2 inference protocol supporting TensorRT, TensorFlow, PyTorch, ONNX Runtime, Python, and more backends.

Triton Inference Server publishes 12 API contracts indexed on the APIs.io network, including CUDA Shared Memory API, Health API, Inference API, and 9 more. Tagged areas include Artificial Intelligence, Deep Learning, Inference, Machine Learning, and Model Serving.

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

Triton Inference Server’s developer surface includes engineering blog, documentation, getting-started guide, release notes, and 31 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

37.2/100 thin ▬ flat Agent 24/100 agent aware self hosted · BSD-3-Clause Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

AccessFreemium

2 published contracts

Artificial Intelligence Deep Learning Inference Machine Learning Model Serving NVIDIA Open Source

What this lets a business do 1

Business capabilities this provider's published APIs can perform, derived from its own contracts. Browse all capabilities →

Information & Data Management

BC-610

InferenceModel Repository

POST /v2/models/{model_name}/infer

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 37.2/100 · thin

Contract Quality 8.0 / 16

Developer Ergonomics 3.7 / 13

Access Clarity 1.4 / 13

Operational Transparency 2.8 / 8

Contract Governance 2.1 / 8

Discoverability 3.7 / 7

Regulatory Posture 1.5 / 15

Open Source Surface 8.5 / 10

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 24/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 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

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 0 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Open Source Surface applies to this provider. This product is open source and we read its repository directly, so Open Source Surface carries 10 points of the composite. It is scored from what the repository actually publishes — a security policy, a contribution guide, a release history, a code of conduct — read live from the provider rather than inferred from our own catalog pointers. This facet adds; nothing was taken away to make room for it. An open-source project is not excused from the commercial facets, because exemption would strip it of the points it does earn. If we have the wrong repository, or this product is not open source, say so on your provider repo and we will drop the facet rather than have you publish against it.

Create-or-Update Ergonomics applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

The six quality facets above are damped to 65 points between them, because both conditional facets apply and carry 35 points together. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 65% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship Ask about this →
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey) Ask about this →
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented) Ask about this →
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0 Ask about this →
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document Ask about this →
Delegated User Identity +6 pts — a served discovery document listing authorization_code in grant_types_supported (served), else an oauth2 authorizationCode flow or openIdConnect declared in an OpenAPI (documented) Ask about this →

9 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Access Clarity scores 10.6 — up to +17.9 composite points Ask about this →
Developer Ergonomics scores 28.6 — up to +14.3 composite points Ask about this →
Contract Quality scores 49.5 — up to +12.6 composite points Ask about this →

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/triton/apis.yml: open an issue on github.com/api-evangelist/triton to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

OpenAPI

measured — observed by APIs.io (published)

APIs 12

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

Triton GRPC API

High-performance gRPC API for model inference with support for streaming and binary tensor data.

Triton Inference Server CUDA Shared Memory API

CUDA shared memory region management

Triton Inference Server Health API

Server and model health and readiness checks

Triton Inference Server Inference API

Model inference requests

Triton Inference Server Logging API

Server logging configuration

Triton Inference Server Metrics API

Prometheus-compatible metrics endpoints

Triton Inference Server Model Metadata API

Model-level metadata, configuration, and statistics

Triton Inference Server Model Repository API

Model repository management operations

Triton Inference Server Metadata API

Server-level metadata and information

Triton Inference Server Statistics API

Server and model inference statistics

Triton Inference Server System Shared Memory API

System shared memory region management

Triton Inference Server Trace API

Request tracing configuration

Scroll for all 12

Open Collections 13

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

Triton Inference Server NVIDIA Triton Inference Server HTTP/REST CUDA Shared Memory API

OPEN COLLECTION

Triton Inference Server NVIDIA Triton Inference Server HTTP/REST CUDA Shared Memory Health API

OPEN COLLECTION

Triton Inference Server NVIDIA Triton Inference Server HTTP/REST API

OPEN COLLECTION

Triton Server NVIDIA Triton Server HTTP/REST CUDA Shared Memory Inference API

OPEN COLLECTION

Triton Inference Server NVIDIA Triton Inference Server HTTP/REST CUDA Shared Memory Logging API

OPEN COLLECTION

Triton Inference Server NVIDIA Triton Inference Server HTTP/REST CUDA Shared Memory Metrics API

OPEN COLLECTION

Triton Inference Server NVIDIA Triton Inference Server Metrics API

OPEN COLLECTION

Triton Inference Server NVIDIA Triton Inference Server HTTP/REST CUDA Shared Memory Model Metadata API

OPEN COLLECTION

Triton Inference Server NVIDIA Triton Inference Server HTTP/REST CUDA Shared Memory Model Repository API

OPEN COLLECTION

Triton Inference Server NVIDIA Triton Inference Server HTTP/REST CUDA Shared Memory Server Metadata API

OPEN COLLECTION

Triton Inference Server NVIDIA Triton Inference Server HTTP/REST CUDA Shared Memory Statistics API

OPEN COLLECTION

Triton Inference Server NVIDIA Triton Inference Server HTTP/REST CUDA Shared Memory System Shared Memory API

OPEN COLLECTION

Triton Inference Server NVIDIA Triton Inference Server HTTP/REST CUDA Shared Memory Trace API

OPEN COLLECTION

Scroll for all 13

Triton Inference Server API pricing

Not yet checked against Triton Inference Server's own pricing page. Compiled by API Evangelist on 2026-05-05 from docs.nvidia.com/deeplearning/triton-inference-server/user...; confirm before you rely on a figure. A free plan or tier is listed.

Plan	Price
Open Source freemium	Free
NVIDIA AI Enterprise (Optional Support) enterprise	—

Plan details, limits and sources →

Rate limits

Hardware-Bounded Throughput: bounded by deployed CPU / GPU and configured model instances varies
Operator-Configured Rate Limiter: configured per model via Triton's rate-limiter / scheduler settings varies

Compiled by API Evangelist, not yet checked against Triton Inference Server's documentation. Rate-limit details →

Pricing Plans 1

Published pricing tiers and plan structures.

Triton Inference Server Plans Pricing

2 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Triton Inference Server Rate Limits

2 limits

RATE LIMITS

Terms of Service 1

What its API terms permit and prohibit, quoted from its own page.

Triton Inference Server

4 quoted statements, read from Triton Inference Server's own page on 2026-11-10.

TERMS

Data License 1

How its data and outputs may be reused, quoted from its own terms.

Triton Inference Server

2 quoted statements, read from Triton Inference Server's own page on 2026-11-10.

LICENSE

FinOps 1

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

Triton Inference Server Finops

FINOPS

Semantic Vocabularies 1

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

Triton Context

0 classes · 9 properties

JSON-LD

Spectral Rules 2

Spectral governance rulesets for linting and validating these APIs. Counts are the severity each rule declares, not results of running them.

Triton Inference Server — jsonschema rules

6 rules · 5 warn-severity 1 info-severity

SPECTRAL

Triton Inference Server API Rules

8 rules · 1 error-severity 5 warn-severity 2 info-severity

SPECTRAL

JSON Schema 3

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

Triton Inference Request

4 properties

JSON SCHEMA

Triton Inference Response

5 properties

JSON SCHEMA

Triton Inference Server Model

15 properties

JSON SCHEMA

JSON Structure 1

JSON Structure definitions describing this provider's data shapes.

Triton Inference Server Model Structure

0 properties

JSON STRUCTURE

Examples 2

Example request and response payloads for these APIs.

Triton Inference Server Model Infer Example

4 fields

EXAMPLE

Triton Inference Server Repository Index Example

4 fields

EXAMPLE

Agentic Access (API Evangelist recommendations) 1

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

Triton Inference Server Agentic Access

32 operations · 14 acting

AGENTIC

Resources

Get Started 1

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Documentation 7

Reference material describing how the API behaves

ContributionGuide

Documentation

OpenAPI

OpenAPI

JSONSchema

JSONSchema

JSONSchema

Scroll for all 7

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgenticAccess

Design & Contract 4

Pagination, idempotency, versioning, errors, and events

JSONLD

JSONStructure

SpectralRules

Vocabulary

Build 3

SDKs, sample code, and the tooling you integrate with

GitHubRepository

GitHubRepository

Client Libraries

Client Libraries

Triton CLI

Triton CLI

Access & Security 1

Authentication, authorization, and security posture

SecurityPolicy

SecurityPolicy

Operate 5

Status, limits, changes, and where to get help

RateLimits

RateLimits

IssueTracker

IssueTracker

Supported Backends

Supported Backends

Community Forum

Community Forum

ReleaseNotes

ReleaseNotes

Commercial 5

Pricing, plans, and the legal terms of use

Plans

FinOps

License

UsageTerms

DataLicense

Company 3

The organization behind the API

Blog

Blog

BlogRSS

BlogRSS

Website

Website

Other 5

Properties that don't map to a standard resource type

CapabilityMap

Model Repository

Docker Images

PyTriton

Model Analyzer

Source (apis.yml)

name: Triton Inference Server
description: NVIDIA Triton Inference Server provides a cloud and edge inferencing solution optimized for both CPUs and GPUs.
  Triton supports an HTTP/REST and gRPC protocol that allows remote clients to request inferencing for any model being managed
  by the server. Open source and part of the broader NVIDIA AI ecosystem, Triton implements the KServe V2 inference protocol
  supporting TensorRT, TensorFlow, PyTorch, ONNX Runtime, Python, and more backends.
deliveryModel:
  model: self-hosted
  license: BSD-3-Clause
  open_source: true
  commercial: false
  callable_host: false
  label: Self-hosted open source · you run it yourself
  confidence: high
  source:
  - license
  - openapi
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: freemium
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Freemium
  confidence: low
  try_now_blocked_by: loopback
  source:
  - plans
  generated: '2026-11-13'
  method: derived
image: https://developer.nvidia.com/sites/default/files/akamai/triton-logo.png
x-docs-platform: swagger-ui
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-17
tags:
- Artificial Intelligence
- Deep Learning
- Inference
- Machine Learning
- Model Serving
- NVIDIA
- Open Source
tags_raw:
- AI
- Deep Learning
- Inference
- Machine Learning
- Model Serving
- NVIDIA
- Open Source
- Machine-Learning
- Open-Source
created: '2024-01-15'
modified: '2026-10-06'
url: https://github.com/triton-inference-server/server
specificationVersion: '0.23'
apis:
- name: Triton GRPC API
  description: High-performance gRPC API for model inference with support for streaming and binary tensor data.
  image: https://developer.nvidia.com/sites/default/files/akamai/triton-logo.png
  humanURL: https://github.com/triton-inference-server/server/blob/main/docs/protocol/README.md
  baseURL: grpc://localhost:8001
  tags:
  - gRPC
  - High Performance
  - Inference
  - Streaming
  tags_raw:
  - GRPC
  - High Performance
  - Inference
  - Streaming
  properties:
  - type: Documentation
    url: https://github.com/triton-inference-server/server/blob/main/docs/protocol/README.md
  - type: Protocol Buffers
    url: https://github.com/triton-inference-server/common/blob/main/protobuf/grpc_service.proto
  - type: Examples
    url: https://github.com/triton-inference-server/client/tree/main/src/python/examples
  contact:
  - FN: NVIDIA Triton Team
    email: triton@nvidia.com
- aid: triton:triton-cuda-shared-memory-api
  name: Triton Inference Server CUDA Shared Memory API
  description: CUDA shared memory region management
  humanURL: https://github.com/triton-inference-server/server/blob/main/docs/protocol/extension_binary_data.md
  baseURL: http://localhost:8000
  tags:
  - CUDA Shared Memory
  properties:
  - type: OpenAPI
    url: openapi/triton-cuda-shared-memory-api-openapi.yml
  - type: Documentation
    url: https://github.com/triton-inference-server/server/blob/main/docs/protocol/extension_binary_data.md
  - type: PostmanCollection
    url: https://www.postman.com/nvidia-triton
  - type: Documentation
    url: https://github.com/triton-inference-server/server/blob/main/docs/user_guide/metrics.md
  - type: Metrics Format
    url: https://prometheus.io/docs/instrumenting/exposition_formats/
- aid: triton:triton-health-api
  name: Triton Inference Server Health API
  description: Server and model health and readiness checks
  humanURL: https://github.com/triton-inference-server/server/blob/main/docs/protocol/extension_binary_data.md
  baseURL: http://localhost:8000
  tags:
  - Health
  properties:
  - type: OpenAPI
    url: openapi/triton-health-api-openapi.yml
  - type: Documentation
    url: https://github.com/triton-inference-server/server/blob/main/docs/protocol/extension_binary_data.md
  - type: PostmanCollection
    url: https://www.postman.com/nvidia-triton
  - type: Documentation
    url: https://github.com/triton-inference-server/server/blob/main/docs/user_guide/metrics.md
  - type: Metrics Format
    url: https://prometheus.io/docs/instrumenting/exposition_formats/
- aid: triton:triton-inference-api
  name: Triton Inference Server Inference API
  description: Model inference requests
  humanURL: https://github.com/triton-inference-server/server/blob/main/docs/protocol/extension_binary_data.md
  baseURL: http://localhost:8000
  tags:
  - Inference
  properties:
  - type: OpenAPI
    url: openapi/triton-inference-api-openapi.yml
  - type: Documentation
    url: https://github.com/triton-inference-server/server/blob/main/docs/protocol/extension_binary_data.md
  - type: PostmanCollection
    url: https://www.postman.com/nvidia-triton
  - type: Documentation
    url: https://github.com/triton-inference-server/server/blob/main/docs/user_guide/metrics.md
  - type: Metrics Format
    url: https://prometheus.io/docs/instrumenting/exposition_formats/
- aid: triton:triton-logging-api
  name: Triton Inference Server Logging API
  description: Server logging configuration
  humanURL: https://github.com/triton-inference-server/server/blob/main/docs/protocol/extension_binary_data.md
  baseURL: http://localhost:8000
  tags:
  - Logging
  properties:
  - type: OpenAPI
    url: openapi/triton-logging-api-openapi.yml
  - type: Documentation
    url: https://github.com/triton-inference-server/server/blob/main/docs/protocol/extension_binary_data.md
  - type: PostmanCollection
    url: https://www.postman.com/nvidia-triton
  - type: Documentation
    url: https://github.com/triton-inference-server/server/blob/main/docs/user_guide/metrics.md
  - type: Metrics Format
    url: https://prometheus.io/docs/instrumenting/exposition_formats/
- aid: triton:triton-metrics-api
  name: Triton Inference Server Metrics API
  description: Prometheus-compatible metrics endpoints
  humanURL: https://github.com/triton-inference-server/server/blob/main/docs/protocol/extension_binary_data.md
  baseURL: http://localhost:8000
  tags:
  - Metrics
  properties:
  - type: OpenAPI
    url: openapi/triton-metrics-api-openapi.yml
  - type: Documentation
    url: https://github.com/triton-inference-server/server/blob/main/docs/protocol/extension_binary_data.md
  - type: PostmanCollection
    url: https://www.postman.com/nvidia-triton
  - type: Documentation
    url: https://github.com/triton-inference-server/server/blob/main/docs/user_guide/metrics.md
  - type: Metrics Format
    url: https://prometheus.io/docs/instrumenting/exposition_formats/
- aid: triton:triton-model-metadata-api
  name: Triton Inference Server Model Metadata API
  description: Model-level metadata, configuration, and statistics
  humanURL: https://github.com/triton-inference-server/server/blob/main/docs/protocol/extension_binary_data.md
  baseURL: http://localhost:8000
  tags:
  - Model Metadata
  properties:
  - type: OpenAPI
    url: openapi/triton-model-metadata-api-openapi.yml
  - type: Documentation
    url: https://github.com/triton-inference-server/server/blob/main/docs/protocol/extension_binary_data.md
  - type: PostmanCollection
    url: https://www.postman.com/nvidia-triton
  - type: Documentation
    url: https://github.com/triton-inference-server/server/blob/main/docs/user_guide/metrics.md
  - type: Metrics Format
    url: https://prometheus.io/docs/instrumenting/exposition_formats/
- aid: triton:triton-model-repository-api
  name: Triton Inference Server Model Repository API
  description: Model repository management operations
  humanURL: https://github.com/triton-inference-server/server/blob/main/docs/protocol/extension_binary_data.md
  baseURL: http://localhost:8000
  tags:
  - Model Repository
  properties:
  - type: OpenAPI
    url: openapi/triton-model-repository-api-openapi.yml
  - type: Documentation
    url: https://github.com/triton-inference-server/server/blob/main/docs/protocol/extension_binary_data.md
  - type: PostmanCollection
    url: https://www.postman.com/nvidia-triton
  - type: Documentation
    url: https://github.com/triton-inference-server/server/blob/main/docs/user_guide/metrics.md
  - type: Metrics Format
    url: https://prometheus.io/docs/instrumenting/exposition_formats/
- aid: triton:triton-server-metadata-api
  name: Triton Inference Server Metadata API
  description: Server-level metadata and information
  humanURL: https://github.com/triton-inference-server/server/blob/main/docs/protocol/extension_binary_data.md
  baseURL: http://localhost:8000
  tags:
  - Server Metadata
  properties:
  - type: OpenAPI
    url: openapi/triton-server-metadata-api-openapi.yml
  - type: Documentation
    url: https://github.com/triton-inference-server/server/blob/main/docs/protocol/extension_binary_data.md
  - type: PostmanCollection
    url: https://www.postman.com/nvidia-triton
  - type: Documentation
    url: https://github.com/triton-inference-server/server/blob/main/docs/user_guide/metrics.md
  - type: Metrics Format
    url: https://prometheus.io/docs/instrumenting/exposition_formats/
- aid: triton:triton-statistics-api
  name: Triton Inference Server Statistics API
  description: Server and model inference statistics
  humanURL: https://github.com/triton-inference-server/server/blob/main/docs/protocol/extension_binary_data.md
  baseURL: http://localhost:8000
  tags:
  - Statistics
  properties:
  - type: OpenAPI
    url: openapi/triton-statistics-api-openapi.yml
  - type: Documentation
    url: https://github.com/triton-inference-server/server/blob/main/docs/protocol/extension_binary_data.md
  - type: PostmanCollection
    url: https://www.postman.com/nvidia-triton
  - type: Documentation
    url: https://github.com/triton-inference-server/server/blob/main/docs/user_guide/metrics.md
  - type: Metrics Format
    url: https://prometheus.io/docs/instrumenting/exposition_formats/
- aid: triton:triton-system-shared-memory-api
  name: Triton Inference Server System Shared Memory API
  description: System shared memory region management
  humanURL: https://github.com/triton-inference-server/server/blob/main/docs/protocol/extension_binary_data.md
  baseURL: http://localhost:8000
  tags:
  - System Shared Memory
  properties:
  - type: OpenAPI
    url: openapi/triton-system-shared-memory-api-openapi.yml
  - type: Documentation
    url: https://github.com/triton-inference-server/server/blob/main/docs/protocol/extension_binary_data.md
  - type: PostmanCollection
    url: https://www.postman.com/nvidia-triton
  - type: Documentation
    url: https://github.com/triton-inference-server/server/blob/main/docs/user_guide/metrics.md
  - type: Metrics Format
    url: https://prometheus.io/docs/instrumenting/exposition_formats/
- aid: triton:triton-trace-api
  name: Triton Inference Server Trace API
  description: Request tracing configuration
  humanURL: https://github.com/triton-inference-server/server/blob/main/docs/protocol/extension_binary_data.md
  baseURL: http://localhost:8000
  tags:
  - Trace
  properties:
  - type: OpenAPI
    url: openapi/triton-trace-api-openapi.yml
  - type: Documentation
    url: https://github.com/triton-inference-server/server/blob/main/docs/protocol/extension_binary_data.md
  - type: PostmanCollection
    url: https://www.postman.com/nvidia-triton
  - type: Documentation
    url: https://github.com/triton-inference-server/server/blob/main/docs/user_guide/metrics.md
  - type: Metrics Format
    url: https://prometheus.io/docs/instrumenting/exposition_formats/
common:
- type: Plans
  url: plans/triton-plans-pricing.yml
- type: RateLimits
  url: rate-limits/triton-rate-limits.yml
- type: FinOps
  url: finops/triton-finops.yml
- url: https://blogs.nvidia.com/blog/tag/industrial-manufacturing/
  type: Blog
- url: https://blogs.nvidia.com/feed/
  type: BlogRSS
- type: Website
  url: https://www.nvidia.com/
- type: CapabilityMap
  url: capabilities/triton-capability-edges.yml
  name: Triton Inference Server Business Capability Map
- type: IssueTracker
  url: https://github.com/triton-inference-server/server/issues
- type: SecurityPolicy
  url: https://github.com/triton-inference-server/server/blob/main/SECURITY.md
- type: ContributionGuide
  url: https://github.com/triton-inference-server/server/blob/main/CONTRIBUTING.md
- type: License
  name: BSD-3-Clause
  url: https://github.com/triton-inference-server/server/blob/main/LICENSE
- type: AgenticAccess
  url: agentic-access/triton-agentic-access.yml
- type: GitHubRepository
  url: https://github.com/triton-inference-server/server
- type: Documentation
  url: https://docs.nvidia.com/deeplearning/triton-inference-server/
- type: GettingStarted
  url: https://github.com/triton-inference-server/server/blob/main/docs/getting_started/quickstart.md
- type: Client Libraries
  url: https://github.com/triton-inference-server/client
- type: Model Repository
  url: https://github.com/triton-inference-server/server/blob/main/docs/user_guide/model_repository.md
- type: Supported Backends
  url: https://github.com/triton-inference-server/backend
- type: Docker Images
  url: https://catalog.ngc.nvidia.com/orgs/nvidia/containers/tritonserver
- type: Community Forum
  url: https://github.com/triton-inference-server/server/discussions
- type: ReleaseNotes
  url: https://github.com/triton-inference-server/server/releases
- type: PyTriton
  url: https://github.com/triton-inference-server/pytriton
- type: Model Analyzer
  url: https://github.com/triton-inference-server/model_analyzer
- type: Triton CLI
  url: https://github.com/triton-inference-server/triton_cli
- type: OpenAPI
  url: openapi/_original/triton-http-rest-openapi.yml
- type: OpenAPI
  url: openapi/_original/triton-metrics-openapi.yml
- type: JSONLD
  url: json-ld/triton-context.jsonld
- type: JSONSchema
  url: json-schema/triton-model-schema.json
- type: JSONSchema
  url: json-schema/triton-inference-request-schema.json
- type: JSONSchema
  url: json-schema/triton-inference-response-schema.json
- type: JSONStructure
  url: json-structure/triton-model-structure.json
- type: SpectralRules
  url: rules/triton-rules.yml
- type: Vocabulary
  url: vocabulary/triton-vocabulary.yml
- type: UsageTerms
  url: terms/triton-terms-of-service.yml
- type: DataLicense
  url: data-license/triton-data-license.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

Triton Inference Server API — frequently asked questions

Does Triton Inference Server have an API?

Yes. APIs.io lists 12 APIs from Triton Inference Server, including Triton GRPC API, Triton Inference Server CUDA Shared Memory API and Triton Inference Server Health API, and 9 more.

Is there an OpenAPI specification for the Triton Inference Server API?

Yes. APIs.io indexes 11 OpenAPI specifications for Triton Inference Server, each linked for download from this page.

How much does the Triton Inference Server API cost?

APIs.io lists 2 pricing plans for Triton Inference Server, with each plan's price, limits and inclusions under Pricing on this page.

Is the Triton Inference Server API ready for AI agents?

Triton Inference Server has a Kin Score of 37.2 out of 100 (thin) and an Agent Readiness score of 24.4 (agent-aware), scored by API Evangelist on 2026-11-13.

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