aid: nvidia-nim
url: https://raw.githubusercontent.com/api-evangelist/nvidia-nim/refs/heads/main/apis.yml
apis:
- aid: nvidia-nim:nvidia-nim-chat-completions-api
  name: NVIDIA NIM Chat Completions API
  tags:
  - AI
  - Artificial Intelligence
  - Chat
  - Completions
  - LLM
  - OpenAI Compatible
  humanURL: https://docs.api.nvidia.com/nim/reference/llm-apis
  baseURL: https://integrate.api.nvidia.com/v1
  properties:
  - url: https://docs.api.nvidia.com/nim/reference/llm-apis
    type: Documentation
  - url: https://docs.nvidia.com/nim/large-language-models/latest/api-reference.html
    type: Documentation
  - url: openapi/nvidia-nim-chat-completions-api-openapi.yml
    type: OpenAPI
  - url: json-schema/nvidia-nim-chat-completion-schema.json
    type: JSONSchema
  - url: json-ld/nvidia-nim-context.jsonld
    type: JSONLD
  - type: NaftikoCapability
    url: capabilities/chat-completions-chat.yaml
  description: OpenAI-compatible chat completions endpoint exposing 100+ foundation models — Meta Llama, Mistral,
    Mixtral, NVIDIA Nemotron, DeepSeek, Qwen, Microsoft Phi, Google Gemma, IBM Granite, and more — through a single
    /v1/chat/completions surface. Supports streaming, tool/function calling, structured outputs, vision inputs on
    multimodal models, and the standard temperature/top_p/max_tokens parameters. Switching models is a one-line
    change to the model string. Available hosted on integrate.api.nvidia.com or self-hosted via NIM containers on
    any GPU.
- aid: nvidia-nim:nvidia-nim-completions-api
  name: NVIDIA NIM Completions API
  tags:
  - AI
  - Artificial Intelligence
  - Completions
  - LLM
  - OpenAI Compatible
  humanURL: https://docs.nvidia.com/nim/large-language-models/latest/api-reference.html
  baseURL: https://integrate.api.nvidia.com/v1
  properties:
  - url: https://docs.nvidia.com/nim/large-language-models/latest/api-reference.html
    type: Documentation
  - url: openapi/nvidia-nim-completions-api-openapi.yml
    type: OpenAPI
  - type: NaftikoCapability
    url: capabilities/completions-completions.yaml
  description: 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 streaming, sampling, and
    stopping-criterion controls as the chat endpoint.
- aid: nvidia-nim:nvidia-nim-embeddings-api
  name: NVIDIA NIM Embeddings API
  tags:
  - AI
  - Artificial Intelligence
  - Embeddings
  - Retrieval
  - RAG
  - OpenAI Compatible
  humanURL: https://docs.nvidia.com/nim/nemo-retriever/text-embedding/latest/api-reference.html
  baseURL: https://integrate.api.nvidia.com/v1
  properties:
  - url: https://docs.nvidia.com/nim/nemo-retriever/text-embedding/latest/api-reference.html
    type: Documentation
  - url: openapi/nvidia-nim-embeddings-api-openapi.yml
    type: OpenAPI
  - url: json-schema/nvidia-nim-embedding-schema.json
    type: JSONSchema
  - type: NaftikoCapability
    url: capabilities/embeddings-embeddings.yaml
  description: 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 BGE-M3. Returns dense
    float vectors for documents or queries to power RAG, semantic search, and clustering. Supports
    `input_type=passage|query` for asymmetric retrieval and the standard `dimensions` parameter on models that
    permit dimension reduction.
- aid: nvidia-nim:nvidia-nim-reranking-api
  name: NVIDIA NIM Reranking API
  tags:
  - AI
  - Artificial Intelligence
  - Reranking
  - Retrieval
  - RAG
  humanURL: https://docs.nvidia.com/nim/nemo-retriever/text-reranking/latest/api-reference.html
  baseURL: https://integrate.api.nvidia.com/v1
  properties:
  - url: https://docs.nvidia.com/nim/nemo-retriever/text-reranking/latest/api-reference.html
    type: Documentation
  - url: openapi/nvidia-nim-reranking-api-openapi.yml
    type: OpenAPI
  - type: NaftikoCapability
    url: capabilities/reranking-reranking.yaml
  description: NeMo Retriever cross-encoder reranking endpoint (/v1/ranking) for scoring candidate passages
    against a query. Improves retrieval relevance on RAG pipelines and supports the llama-3.2-nv-rerankqa-1b and
    NV-RerankQA-Mistral-4B-v3 models. Accepts a query plus a list of passages and returns a sorted list of
    relevance scores.
- aid: nvidia-nim:nvidia-nim-models-api
  name: NVIDIA NIM Models API
  tags:
  - AI
  - Artificial Intelligence
  - Models
  - Catalog
  - OpenAI Compatible
  humanURL: https://docs.nvidia.com/nim/large-language-models/latest/api-reference.html
  baseURL: https://integrate.api.nvidia.com/v1
  properties:
  - url: https://docs.nvidia.com/nim/large-language-models/latest/api-reference.html
    type: Documentation
  - url: openapi/nvidia-nim-models-api-openapi.yml
    type: OpenAPI
  - type: NaftikoCapability
    url: capabilities/models-models.yaml
  description: 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 timestamp. Used by clients to
    discover the model name strings to pass to chat-completions / completions / embeddings.
- aid: nvidia-nim:nvidia-nim-vision-api
  name: NVIDIA NIM Vision Language Models API
  tags:
  - AI
  - Artificial Intelligence
  - Vision
  - Multimodal
  - VLM
  humanURL: https://docs.api.nvidia.com/nim/reference/vlm-apis
  baseURL: https://integrate.api.nvidia.com/v1
  properties:
  - url: https://docs.api.nvidia.com/nim/reference/vlm-apis
    type: Documentation
  - url: openapi/nvidia-nim-vision-api-openapi.yml
    type: OpenAPI
  - type: NaftikoCapability
    url: capabilities/vision-vision.yaml
  description: 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/kosmos-2, Phi-3-vision,
    llama-3.2-90b-vision-instruct, and other VLMs hosted in the NIM catalog.
- aid: nvidia-nim:nvidia-nim-health-api
  name: NVIDIA NIM Health API
  tags:
  - Health
  - Observability
  - Kubernetes
  humanURL: https://docs.nvidia.com/nim/large-language-models/latest/observability.html
  properties:
  - url: https://docs.nvidia.com/nim/large-language-models/latest/observability.html
    type: Documentation
  - url: openapi/nvidia-nim-health-api-openapi.yml
    type: OpenAPI
  - type: NaftikoCapability
    url: capabilities/health-health.yaml
  description: 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 utilization, request latency, and
    queue depth. Drives Kubernetes pod lifecycle and HPA scaling via the NIM Operator.
- aid: nvidia-nim:nvidia-nim-image-generation-api
  name: NVIDIA NIM Image Generation API
  tags:
  - AI
  - Artificial Intelligence
  - Image Generation
  - Visual
  humanURL: https://docs.api.nvidia.com/nim/reference/visual-models
  baseURL: https://integrate.api.nvidia.com/v1
  properties:
  - url: https://docs.api.nvidia.com/nim/reference/visual-models
    type: Documentation
  - url: openapi/nvidia-nim-image-generation-api-openapi.yml
    type: OpenAPI
  - type: NaftikoCapability
    url: capabilities/image-generation-images.yaml
  description: Visual generative AI endpoints for text-to-image, image-to-image, and image editing using models
    such as Black Forest Labs FLUX.1, Stable Diffusion XL, Shutterstock-trained models, and NVIDIA-curated
    Edify Image. Returns base64-encoded PNG/JPEG artifacts.
- aid: nvidia-nim:nvidia-nim-speech-api
  name: NVIDIA NIM Speech API
  tags:
  - AI
  - Artificial Intelligence
  - Speech
  - ASR
  - TTS
  - Riva
  humanURL: https://docs.nvidia.com/nim/riva/latest/index.html
  baseURL: https://integrate.api.nvidia.com/v1
  properties:
  - url: https://docs.nvidia.com/nim/riva/latest/index.html
    type: Documentation
  - url: openapi/nvidia-nim-speech-api-openapi.yml
    type: OpenAPI
  - type: NaftikoCapability
    url: capabilities/speech-asr.yaml
  - type: NaftikoCapability
    url: capabilities/speech-tts.yaml
  description: NVIDIA Riva-powered speech NIMs delivering automatic speech recognition (Parakeet, Canary),
    neural machine translation, and text-to-speech (Magpie-TTS, FastPitch) through HTTP and gRPC surfaces.
    Hosted endpoints accept WAV/FLAC audio and return transcripts or synthesized speech.
- aid: nvidia-nim:nvidia-nim-biology-api
  name: NVIDIA NIM Biology (BioNeMo) API
  tags:
  - AI
  - Biology
  - BioNeMo
  - Drug Discovery
  - Healthcare
  humanURL: https://docs.nvidia.com/nim/bionemo/latest/index.html
  baseURL: https://integrate.api.nvidia.com/v1
  properties:
  - url: https://docs.nvidia.com/nim/bionemo/latest/index.html
    type: Documentation
  - url: openapi/nvidia-nim-biology-api-openapi.yml
    type: OpenAPI
  - type: NaftikoCapability
    url: capabilities/biology-bionemo.yaml
  description: BioNeMo NIMs for protein structure prediction (AlphaFold2, ESMFold, OpenFold), protein
    generation (ProtGPT2, RFDiffusion), molecular property prediction (MolMIM), small molecule generation,
    and molecular docking (DiffDock). Each model is a containerized microservice with the same OpenAPI surface.
name: NVIDIA NIM
tags:
- AI
- Artificial Intelligence
- Inference
- Microservices
- LLM
- Foundation Models
- GPU
- Kubernetes
- NVIDIA
- OpenAI Compatible
kind: contract
image: https://kinlane-productions2.s3.amazonaws.com/apis-json/apis-json-logo.jpg
access: 3rd-Party
common:
- type: Portal
  url: https://build.nvidia.com
- type: Documentation
  url: https://docs.nvidia.com/nim/index.html
- type: Documentation
  url: https://docs.api.nvidia.com/nim/reference/llm-apis
- type: Documentation
  url: https://developer.nvidia.com/nim
- type: GettingStarted
  url: https://docs.nvidia.com/nim/large-language-models/latest/getting-started.html
- type: SignUp
  url: https://build.nvidia.com/explore/discover
- type: Sandbox
  url: https://build.nvidia.com/explore/discover
- type: Pricing
  url: https://www.nvidia.com/en-us/data-center/products/ai-enterprise/
- type: GitHubOrganization
  url: https://github.com/NVIDIA
- type: GitHubOrganization
  url: https://github.com/NVIDIA-NIM-Agent-Blueprints
- type: StatusPage
  url: https://status.nvidia.com
- type: Blog
  url: https://developer.nvidia.com/blog/category/generative-ai/
- type: Blog
  url: https://blogs.nvidia.com/blog/category/generative-ai/
- type: Forum
  url: https://forums.developer.nvidia.com/c/ai-data-science/nemo-llm-service/
- type: TrustCenter
  url: https://www.nvidia.com/en-us/about-nvidia/legal-info/
- type: TermsOfService
  url: https://www.nvidia.com/en-us/about-nvidia/terms-of-service/
- type: PrivacyPolicy
  url: https://www.nvidia.com/en-us/about-nvidia/privacy-policy/
- type: Documentation
  url: https://docs.nvidia.com/nim-operator/latest/index.html
  name: NIM Operator Documentation
- type: SDK
  url: https://github.com/NVIDIA/nim-deploy
  name: NIM Deploy (Helm Charts and Reference Implementations)
- type: SDK
  url: https://github.com/NVIDIA/k8s-nim-operator
  name: Kubernetes NIM Operator
- type: SDK
  url: https://github.com/NVIDIA/GenerativeAIExamples
  name: Generative AI Examples
- type: SDK
  url: https://github.com/NVIDIA/NeMo
  name: NeMo Toolkit
- type: SDK
  url: https://github.com/NVIDIA/NeMo-Guardrails
  name: NeMo Guardrails
- type: SDK
  url: https://github.com/NVIDIA/TensorRT-LLM
  name: TensorRT-LLM
- type: SDK
  url: https://github.com/triton-inference-server/server
  name: Triton Inference Server
- type: SDK
  url: https://github.com/langchain-ai/langchain-nvidia
  name: LangChain NVIDIA AI Endpoints
- type: SDK
  url: https://pypi.org/project/openai/
  name: OpenAI Python SDK (compatible)
- type: CodeExamples
  url: https://github.com/NVIDIA/GenerativeAIExamples
  name: NVIDIA Generative AI Examples
- type: CodeExamples
  url: https://github.com/NVIDIA-AI-Blueprints
  name: NVIDIA AI Blueprints
- type: Models
  url: https://build.nvidia.com/explore/discover
- type: KubernetesCRD
  url: https://github.com/NVIDIA/k8s-nim-operator/tree/main/api
  name: NIMService / NIMCache / NIMPipeline CRDs
- type: RateLimits
  url: https://docs.api.nvidia.com/nim/reference/limits
- type: Versioning
  url: https://docs.nvidia.com/nim/large-language-models/latest/release-notes.html
- url: plans/nvidia-nim-plans-pricing.yml
  type: Plans
- url: rate-limits/nvidia-nim-rate-limits.yml
  type: RateLimits
- url: finops/nvidia-nim-finops.yml
  type: FinOps
- type: Features
  data:
  - OpenAI-compatible REST surface — /v1/chat/completions, /v1/completions, /v1/embeddings, /v1/models, /v1/ranking
  - 100+ foundation models exposed through a single API contract — Llama 3.1/3.2/3.3, Mistral, Mixtral, NVIDIA
    Nemotron, DeepSeek-R1, Qwen 2.5, Microsoft Phi, Google Gemma, IBM Granite, and Falcon
  - Free hosted inference at build.nvidia.com on DGX Cloud — 1,000 credits on signup, 40 RPM rate limit
  - Self-hosted deployment via Docker containers shipping TensorRT-LLM, vLLM, or SGLang inference engines
  - Kubernetes-native deployment via the NIM Operator with NIMService, NIMCache, NIMPipeline CRDs
  - GPU-aware autoscaling, persistent model caches, and rolling upgrades managed by the operator
  - Multi-tenant licensing through NVIDIA AI Enterprise (commercial production use)
  - NeMo Retriever NIMs for embeddings, reranking, OCR, and PDF-to-Markdown extraction in RAG pipelines
  - Vision Language Model NIMs reusing the chat-completions surface for multimodal inputs
  - NVIDIA Riva speech NIMs (Parakeet ASR, Canary translation, Magpie TTS) with HTTP and gRPC adapters
  - BioNeMo NIMs for AlphaFold2, ESMFold, ProtGPT2, MolMIM, DiffDock, RFDiffusion
  - Visual generative AI NIMs — FLUX.1, SDXL, Shutterstock Edify Image, Edify 3D
  - NeMo Guardrails for input/output safety and topic policy enforcement
  - Function calling, JSON mode, tool use, and structured outputs across compatible LLMs
  - Streaming via Server-Sent Events on chat/completions
  - Prometheus /v1/metrics scrape endpoint and /v1/health/{live,ready} probes for Kubernetes
  - LangChain, LlamaIndex, Haystack, OpenAI SDK, and direct REST client compatibility
  - NVIDIA AI Blueprints — full reference RAG, multimodal search, drug discovery, and digital human stacks
  - Available on DGX Cloud, AWS, Azure, Google Cloud, Oracle Cloud, GKE, EKS, AKS, OpenShift, and on-prem
  sources:
  - https://build.nvidia.com
  - https://docs.nvidia.com/nim/index.html
  - https://docs.api.nvidia.com/nim/reference/llm-apis
  - https://www.nvidia.com/en-us/ai-data-science/products/nim-microservices/
  - https://github.com/NVIDIA/k8s-nim-operator
  - https://github.com/NVIDIA/nim-deploy
  updated: '2026-05-25'
created: '2026-05-25'
modified: '2026-05-25'
position: Consuming
description: 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.
maintainers:
- FN: Kin Lane
  email: info@apievangelist.com
  X: apievangelist
  url: https://apievangelist.com
specificationVersion: '0.16'