NVIDIA NIM offers APIs for trying models used to build enterprise generative AI applications.

build.nvidia.com/models
NVIDIA NIM homepage screenshot

About NVIDIA NIM

NVIDIA NIM provides APIs for trying models used to build enterprise generative AI applications. The catalog includes models for text generation, translation, image and video generation, speech-to-text, OCR, embeddings, and structured data prediction.

Users can filter by use case, publisher, inference provider, and GPU for container deployment. Availability varies by listing, with some offering a free endpoint, partner endpoint, download option, or launch from Hugging Face.

Key features

  • Try model APIs for text, image, video, speech, and structured data
  • Filter models by use case such as speech-to-text and image generation
  • Filter by publisher, including NVIDIA, Meta, and Google
  • Select inference providers such as OpenRouter, Together AI, and Vultr
  • Use free endpoints or partner endpoints where listed
  • Download containers with listed GPU requirements where available
Best for: Developers building enterprise generative AI applications who need to compare and try models.
Good for
  • Covers text, image, video, speech, and structured data models in one catalog
  • Filtering by use case, publisher, provider, and GPU requirement
  • Some models list free endpoints for trying APIs

NVIDIA NIM at a glance

Type
Online tool
Pricing
Not confirmed. Check the site
Platforms
Web
Open source
Not stated
Language
English
Last checked
Oct 5, 2026 · Online when checked
Listed
Oct 5, 2026

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NVIDIA NIM FAQ

Can I try a model before deploying it?
Some listings include a free endpoint or partner endpoint for trying the API.
Can I download models for deployment?
Some listings are marked Download Available and show NIM container GPU types such as A100, H100, L40S, and DGX Spark.
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