# NVIDIA NIM

> Accelerated inference microservices that allow organizations to run AI models on NVIDIA GPUs anywhere with optimized inference engines, industry-standard APIs, and runtime dependencies in enterprise-grade containers.

- **URL:** https://www.nvidia.com/en-us/ai-data-science/products/nim-microservices/
- **Category:** LLM Tools
- **Tags:** inference, microservices, GPU
- **Updated:** 2026-03-24 13:36
- **Canonical page:** https://vectordb.ever.works/items/nvidia-nim

## Details

## Overview

NVIDIA NIM is a set of accelerated inference microservices that allow organizations to run AI models on NVIDIA GPUs anywhere—in the cloud, data center, workstations, and PCs.

## Key Features

NIM microservices come with everything AI teams need—the latest AI foundation models, optimized inference engines, industry-standard APIs, and runtime dependencies—prepackaged in enterprise-grade software containers ready to deploy and scale anywhere.

NIM microservices expose industry-standard APIs for simple integration into AI applications, development frameworks, and workflows and optimize response latency and throughput for each combination of foundation model and GPU.

## Recent 2026 Developments

NVIDIA announced NIM microservices for AI models that can generate OpenUSD language to answer user queries, generate OpenUSD Python code, apply materials to 3D objects, and understand 3D space and physics to help accelerate digital twin development. This announcement was made in January 2026.

The new USD-focused NIM microservices include:
- USD Code NIM microservice — answers general knowledge OpenUSD questions and automatically generates OpenUSD-Python code based on text prompts
- USD Search NIM microservice — enables developers to search through massive libraries of OpenUSD, 3D and image data using natural language or image inputs
- USD Layout, USD SmartMaterial, and various fVDB (physics and rendering) microservices

## Enterprise Adoption

Foxconn, a global manufacturing leader with more than 170 factories worldwide, is already benefiting from NVIDIA's computing platform, using NIM microservices and Omniverse for their operations.

## Pricing

Enterprise licensing, contact NVIDIA for details.

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