Triton Inference Server website screenshot

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 11 APIs on the APIs.io network, including CUDA Shared Memory API, Health API, Inference API, and 8 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 documentation, getting-started guide, release notes, and 25 more developer resources.

🌐 Visit website 📡 Source on GitHub
39.9/100 developing ▬ flat Agent 26/100 agent aware self hosted · BSD-3-Clause Full breakdown ↓
scored 2026-09-14 · rubric v0.22.0
AccessFreemium
2 APIs
Artificial IntelligenceDeep LearningInferenceMachine-LearningModel ServingNVIDIAOpen-Source

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-14 · rubric v0.22.0
Composite quality — 39.9/100 · developing
Contract Quality 10.9 / 20
Developer Ergonomics 4.2 / 16
Access Clarity 2.1 / 16
Operational Transparency 3.8 / 10
Contract Governance 2.8 / 10
Discoverability 4.7 / 8
Open Source Surface 8.5 / 10
Create-or-Update Ergonomics 0.0 / 10
Agent readiness — 26/100 · 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
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 80 points between them, because the conditional facet above carries the other 20. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 80% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.
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 github.com/api-evangelist/triton: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

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 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 14

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

API Collection

OPEN COLLECTION

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 14

Pricing Plans 1

Published pricing tiers and plan structures.

Triton Plans Pricing

2 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Triton Rate Limits

2 limits

RATE LIMITS

FinOps 1

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

Triton 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.

Triton Inference Server API Rules

6 rules · 5 warnings 1 info

SPECTRAL

Triton Inference Server API Rules

8 rules · 1 errors 5 warnings 2 info

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 Model Structure

0 properties

JSON STRUCTURE

Examples 2

Example request and response payloads for these APIs.

Triton Model Infer Example

4 fields

EXAMPLE

Triton Repository Index Example

4 fields

EXAMPLE

Agentic Access 1

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

Triton Agentic Access

32 operations · 14 acting

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
ContributionGuide
 Documentation
Documentation
 OpenAPI
OpenAPI
 OpenAPI
OpenAPI
 JSONSchema
JSONSchema
 JSONSchema
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
JSONLD
 JSONStructure
JSONStructure
 SpectralRules
SpectralRules
 Vocabulary
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 4

Status, limits, changes, and where to get help

IssueTracker
IssueTracker
 Supported Backends
Supported Backends
 Community Forum
Community Forum
 ReleaseNotes
ReleaseNotes

Commercial 1

Pricing, plans, and the legal terms of use

License
License

Company 1

The organization behind the API

Website
Website

Other 5

Properties that don't map to a standard resource type

CapabilityMap
CapabilityMap
 Model Repository
Model Repository
 Docker Images
Docker Images
 PyTriton
PyTriton
 Model Analyzer
Model Analyzer

Source (apis.yml)

apis.yml Raw ↑ 
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: medium
  source:
  - plans
  generated: '2026-07-22'
  method: derived
image: https://developer.nvidia.com/sites/default/files/akamai/triton-logo.png
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
created: '2024-01-15'
modified: '2026-05-19'
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 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: 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
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

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