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.
Kin Score
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
PLANSRate Limits 1
Documented rate limits and quota policies.
Triton Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Triton Finops
FINOPSSemantic Vocabularies 1
JSON-LD contexts and semantic vocabularies used across these APIs.
Triton Context
JSON-LDSpectral Rules 2
Spectral governance rulesets for linting and validating these APIs.
Triton Inference Server API Rules
SPECTRALTriton Inference Server API Rules
SPECTRALJSON Schema 3
Standalone JSON Schema definitions for this provider's data models.
Triton Inference Request
JSON SCHEMATriton Inference Response
JSON SCHEMATriton Inference Server Model
JSON SCHEMAJSON Structure 1
JSON Structure definitions describing this provider's data shapes.
Triton Model Structure
JSON STRUCTUREExamples 2
Example request and response payloads for these APIs.
Triton Model Infer Example
EXAMPLEAgentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
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