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Data quality: Editorially Reviewed
Process automation
AI infrastructure & hosting
API / SDK
Self-hosted / on-premises
Private cloud / VPC
Model Serving
SaaS (vendor-hosted)
GPU & Compute
On-device / edge
Model inference
Edge inference
Cross-industry / Horizontal
Enterprise / custom quote

NVIDIA NIM

AI infrastructure & hosting

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Overview

NVIDIA NIM provides containerized inference microservices for running supported AI models with standard APIs. Organizations can use it to accelerate deployment of language, vision, speech, and other models on NVIDIA-accelerated infrastructure.

Pricing model
Enterprise / custom quote
Deployment
SaaS (vendor-hosted), Self-hosted / on-premises, Private cloud / VPC, API / SDK, On-device / edge
Regions served
Global
Categories
Process automation, AI infrastructure & hosting, API / SDK, Self-hosted / on-premises, Private cloud / VPC, Model Serving, SaaS (vendor-hosted), GPU & Compute, On-device / edge, Model inference, Edge inference, Cross-industry / Horizontal, Enterprise / custom quote
Last updated
6 October 2026
Published
6 October 2026

Use cases

Process automation

Deployment options

SaaS (vendor-hosted)
Self-hosted / on-premises
Private cloud / VPC
API / SDK
On-device / edge

Data sources & provenance

Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.

Data quality
Data quality: Editorially Reviewed
Primary source
nvidia.com
Sources cited
1
Last reviewed
5 October 2026
Last updated
6 October 2026

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