NVIDIA NIM
NVIDIA NIM (NVIDIA Inference Microservices) is a catalog of GPU-accelerated, containerized AI inference microservices that package optimized model engines (TensorRT-LLM, vLLM, SGLang, Triton) behind industry-standard OpenAI-compatible REST APIs. NIM covers large language models, embeddings and reranking, vision-language models, speech (Riva), visual generative AI, and biology (BioNeMo) — exposed identically whether consumed from the hosted endpoint at integrate.api.nvidia.com or self-hosted via Docker containers and the Kubernetes-native NIM Operator. NIM ships with NVIDIA AI Enterprise for commercial deployment and is the inference layer underneath NVIDIA AI Blueprints, NeMo Retriever, NeMo Guardrails, and the broader NVIDIA developer stack.
Reference-quality API operations across every facet — a rich contract, published governance, transparent operations, and machine-readable commercial terms.
API Evangelist profiles NVIDIA NIM the way a machine reads it — 98 machine-readable artifacts across 3 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — NVIDIA NIM scores 68.3/100 (exemplar), with a separate agent-readiness read of 29/100 (agent ready). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance. Every facet and dimension name is a link: it opens that measurement's page on APIs.io, where the rating runs across the whole catalog — the exact checks that feed it, how every profiled provider distributes on it, and who is at the top of it.
Kin Score
How this is scored →scored 2026-09-08 · rubric v0.20.0
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How we profile NVIDIA NIM
Each block below is one kind of artifact we hold for NVIDIA NIM. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 11
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
NVIDIA NIM Completions API
Legacy OpenAI-compatible text completion endpoint (/v1/completions) for non-chat foundation models served by NIM. Accepts a raw prompt and returns generated text with the same s...
NVIDIA NIM Embeddings API
OpenAI-compatible embeddings endpoint (/v1/embeddings) backed by NVIDIA NeMo Retriever text embedding models including NV-Embed, NV-EmbedQA-E5, llama-3.2-nv-embedqa-1b, and BAAI...
NVIDIA NIM Reranking API
NeMo Retriever cross-encoder reranking endpoint (/v1/ranking) for scoring candidate passages against a query. Improves retrieval relevance on RAG pipelines and supports the llam...
NVIDIA NIM Models API
OpenAI-compatible model catalog endpoint (/v1/models) returning the list of models served by the NIM endpoint or container. Each entry includes id, owned_by, and created timesta...
NVIDIA NIM Vision Language Models API
Vision-language model inference through the standard /v1/chat/completions surface with image inputs (base64 or URL) in the messages payload. Supports NVIDIA NeVA, microsoft/kosm...
NVIDIA NIM Health API
Liveness, readiness, and startup probes exposed by self-hosted NIM containers (/v1/health/live, /v1/health/ready) and a Prometheus /v1/metrics scrape endpoint for GPU utilizatio...
NVIDIA NIM Biology (BioNeMo) API
BioNeMo NIMs for protein structure prediction (AlphaFold2, ESMFold, OpenFold), protein generation (ProtGPT2, RFDiffusion), molecular property prediction (MolMIM), small molecule...
NVIDIA NIM ASR API
Automatic speech recognition (speech-to-text)
NVIDIA NIM Chat API
OpenAI-compatible chat completion operations
NVIDIA NIM Images API
Text-to-image and image-to-image generation
NVIDIA NIM TTS API
Text-to-speech synthesis
Scroll within the panel for all 11 ·
Postman Collections 10
A runnable collection turns the contract into something a developer can execute in seconds. We profile them because the fastest way to trust an API is to make a real call against it.
Ready-to-run Postman collections for exercising this provider's APIs.
NVIDIA NIM Completions API
POSTMANNVIDIA NIM Embeddings API
POSTMANNVIDIA NIM Health API
POSTMANNVIDIA NIM Models API
POSTMANNVIDIA NIM Reranking API
POSTMANNVIDIA NIM Speech API
POSTMANScroll within the panel for all 10 ·
Open Collections 15
Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
API Collection
OPEN COLLECTIONNVIDIA NIM Biology (BioNeMo) ASR API
OPEN COLLECTIONNVIDIA NIM (BioNeMo) ASR Biology API
OPEN COLLECTIONNVIDIA NIM Biology (BioNeMo) ASR Chat API
OPEN COLLECTIONNVIDIA NIM Chat Completions API
OPEN COLLECTIONNVIDIA NIM Biology (BioNeMo) ASR Completions API
OPEN COLLECTIONNVIDIA NIM Biology (BioNeMo) ASR Embeddings API
OPEN COLLECTIONNVIDIA NIM Biology (BioNeMo) ASR Health API
OPEN COLLECTIONNVIDIA NIM Image Generation API
OPEN COLLECTIONNVIDIA NIM Biology (BioNeMo) ASR Images API
OPEN COLLECTIONNVIDIA NIM Biology (BioNeMo) ASR Models API
OPEN COLLECTIONNVIDIA NIM Biology (BioNeMo) ASR Reranking API
OPEN COLLECTIONNVIDIA NIM Speech API
OPEN COLLECTIONNVIDIA NIM Biology (BioNeMo) ASR TTS API
OPEN COLLECTIONNVIDIA NIM Biology (BioNeMo) ASR Vision API
OPEN COLLECTIONScroll within the panel for all 15 ·
Arazzo Workflows 7
Real integrations are rarely a single call. Arazzo describes the multi-step sequences — auth, then create, then confirm — so both a human and an agent can follow the choreography, not just the endpoints.
Multi-step API workflows described with the Arazzo specification.
NVIDIA NIM BioNeMo Drug Discovery
Fold a protein from sequence, dock a ligand into the predicted structure, then generate optimized analog molecules.
ARAZZONVIDIA NIM Discover And Chat
List the served models, confirm a target model's metadata, then run a chat completion against it.
ARAZZONVIDIA NIM Generate Image And Caption
Generate an image from a text prompt, then caption the generated image with a vision-language model.
ARAZZONVIDIA NIM Health Gated Completion
Check a self-hosted NIM container's readiness, and only run a text completion once the engine reports ready.
ARAZZONVIDIA NIM RAG Rerank And Answer
Embed a query, rerank candidate passages against it, then answer the question grounded in the top passage.
ARAZZONVIDIA NIM Vision Describe And Summarize
Describe an image with a vision-language model, then condense the description into a short caption with an LLM.
ARAZZONVIDIA NIM Voice Assistant Loop
Transcribe an audio clip with Riva ASR, answer the transcript with an LLM, then synthesize the reply with Riva TTS.
ARAZZOScroll within the panel for all 7 ·
MCP Servers 1
Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.
Model Context Protocol servers that expose these APIs to AI agents.
NVIDIA NIM MCP Server
MCP SERVERAgent Skills 24
An agent skill packages the how-to for driving these APIs from an assistant — the prompts, the sequence, the guardrails — so the knowledge to use the API travels with it.
Packaged agent skills for driving this provider's APIs from an AI assistant.
accelerated-computing-cudf
AGENT SKILLaiq-deploy
AGENT SKILLaiq-deploy
AGENT SKILLaiq-research
AGENT SKILLaiq-research
AGENT SKILLcudaq-guide
AGENT SKILLcufolio
AGENT SKILLcuopt-developer
AGENT SKILLcuopt-install
AGENT SKILLcuopt-numerical-optimization-api-c
AGENT SKILLcuopt-numerical-optimization-api-cli
AGENT SKILLcuopt-numerical-optimization-api-python
AGENT SKILLcuopt-numerical-optimization-formulation
AGENT SKILLcuopt-routing-api-python
AGENT SKILLcuopt-routing-formulation
AGENT SKILLcuopt-server-api-python
AGENT SKILLcuopt-server-common
AGENT SKILLcuopt-skill-evolution
AGENT SKILLcuopt-user-rules
AGENT SKILLcuopt-user-rules
AGENT SKILLcupynumeric-hdf5
AGENT SKILLcupynumeric-install
AGENT SKILLcupynumeric-migration-readiness
AGENT SKILLcupynumeric-parallel-data-load
AGENT SKILLScroll within the panel for all 24 ·
Pricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the things the Kin Score reads for access clarity — renamed from commercial clarity in rubric 0.12, because a free statutory interface has access terms and no commercial ones.
Published pricing tiers and plan structures.
Rate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Nvidia Nim Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
Nvidia Nim Finops
FINOPSFeatures 19
The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.
Notable capabilities this provider offers.
Scroll within the panel for all 19 ·
Semantic Vocabularies 1
JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.
JSON-LD contexts and semantic vocabularies used across these APIs.
Nvidia Nim Context
JSON-LDSpectral Rules 1
Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.
NVIDIA NIM API Rules
SPECTRALJSON Schema 2
Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.
Standalone JSON Schema definitions for this provider's data models.
NVIDIA NIM Chat Completion
JSON SCHEMANVIDIA NIM Embedding
JSON SCHEMASecurity Posture 3
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Resources
Every other property we hold for NVIDIA NIM — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 4
Portal, sign-up, and the first successful call
Documentation 4
Reference material describing how the API behaves
Agent Surfaces 5
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 13
Pagination, idempotency, versioning, errors, and events
Scroll within the panel for all 13 ·
Build 16
SDKs, sample code, and the tooling you integrate with
Scroll within the panel for all 16 ·
Access & Security 4
Authentication, authorization, and security posture
Operate 5
Status, limits, changes, and where to get help
Commercial 5
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
Other 17
Properties that don't map to a standard resource type
Scroll within the panel for all 17 ·
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This is an independent, third-party profile of NVIDIA NIM, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.
The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.
Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.
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