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 AI, 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 20 more developer resources.

43.6/100 developing ▬ flat Agent 32/100 agent aware Full breakdown ↓
scored 2026-08-05 · rubric v0.9.1
AccessFreemium
12 APIs
AIDeep LearningInferenceMachine LearningModel ServingNVIDIAOpen Source

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-08-05 · rubric v0.9.1
Composite quality — 43.6/100 · developing
Contract Quality 14.4 / 25
Developer Ergonomics 3.9 / 20
Commercial Clarity 5.8 / 20
Operational Transparency 4.8 / 13
Governance 8.3 / 12
Discoverability 6.5 / 10
Agent readiness — 32/100 · agent aware
Machine-Readable Contract 18 / 18
Agentic Access Contract 10 / 10
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
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/triton: 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 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 2

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

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.

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.

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

Documentation 6

Reference material describing how the API behaves

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 4

Pagination, idempotency, versioning, errors, and events

Build 3

SDKs, sample code, and the tooling you integrate with

Operate 3

Status, limits, changes, and where to get help

Other 5

Properties that don't map to a standard resource type

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.
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:
- 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: '0.18'
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
  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: 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/triton-http-rest-openapi.yml
- type: OpenAPI
  url: openapi/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: x-profiled
  url: 2026-05
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com