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NVIDIA NIM for Developers

NVIDIA NIM™ provides containers to self-host GPU-accelerated inferencing microservices for pretrained and customized AI models across cloudsdata centersand RTX™ AI PCs and workstations. NIM microservices expose industry-standard APIs for simple integration into AI applicationsdevelopment frameworksand workflows and optimize response latency and throughput for each combination of foundation model and GPU.

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How It Works

NVIDIA NIM simplifies the journey from experimentation to deploying enterprise AI applications by providing enthusiastsdevelopersand AI builders with pre-optimized models and industry-standard APIs for building powerful AI agentsco-pilotschatbotsand assistants. With inference engines built on leading frameworks from NVIDIA and the communityincluding TensorRTTensorRT-LLMvLLMSGLangand moreNIM is engineered to facilitate seamless AI inferencing for the latest AI foundation models on NVIDIA GPUs.

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NVIDIA NIM inference microservices stack diagram

Introductory Blog

Learn about NIM architecturekey featuresand components.

Documentation

Access guidesreference informationand release notes for running NIM on your infrastructure.

Introductory Video

Learn how to deploy NIM on your infrastructure using a single command.

Deployment Guide

Get step-by-step instructions for self-hosting NIM on any NVIDIA accelerated infrastructure.


Build With NVIDIA NIM

Optimized Model Performance

Improve AI application performance and efficiency with accelerated engines from NVIDIA and the communityincluding TensorRTTensorRT-LLMvLLMSGLangand more—prebuilt and optimized for low-latencyhigh-throughput inferencing on specific NVIDIA GPU systems.

Run AI Models Anywhere

Maintain security and control of applications and data with prebuilt microservices that can be deployed on NVIDIA GPUs anywhere—from RTX AI PCsworkstationsdata centersor the cloud. Download NIM inference microservices for self-hosted deploymentor take advantage of dedicated endpoints on Hugging Face to spin up instances in your preferred cloud.

Choose Among Thousands of AI Models and Customizations

Deploy a broad range of LLMs supported by vLLMSGLangor TensorRT-LLMincluding community fine-tuned models and models fine-tuned on your data.

Maximize Operationalization and Scale

Get detailed observability metrics for dashboardingand access Helm charts and guides for scaling NIM on Kubernetes.


NVIDIA NIM Examples and Blueprints

Build Accelerated Generative AI Applications Including RAGAgentic AIand More

Get started building AI applications powered by NIM using NVIDIA-hosted NIM API endpoints and generative AI examples from GitHub. See how easy it is to deploy retrieval-augmented generation (RAG) pipelinesagentic AI workflowsand more.

Explore NVIDIA Generative AI Examples

Jump-Start Development With Blueprints

NVIDIA AI Blueprints are predefinedcustomizable AI workflows for creating and deploying AI agents and other generative AI applications. Build and operationalize custom AI applications—creating data-driven AI flywheels—using blueprints along with NVIDIA AI and Omniverse™ librariesSDKsand microservices. Explore blueprints co-developed with leading agentic AI platform providers including CrewAILangChainand more.

Explore NVIDIA Blueprints

Simplify Development With NVIDIA AgentIQ Toolkit

Weave NIM microservices into agentic AI applications with the NVIDIA AgentIQ librarya developer toolkit for building AI agents and integrating them into custom workflows.

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Get Started With NVIDIA NIM

Explore different options for experimentingbuildingand deploying optimized AI applications using the latest models with NVIDIA NIM.

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Try

Get free access to NIM API endpoints for unlimited prototypingpowered by DGX Cloud. Your membership to the NVIDIA Developer Program enables NVIDIA-hosted NIM APIs and containers for development and testing (FAQ).

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Build

Get a head start on development with sample applications built with NIM and partner microservices. NVIDIA Blueprints can be deployed in one click with NVIDIA Launchablesdownloaded for local deployments on PCs and workstationsor for development in your datacenter or private cloud. 

Explore NVIDIA Blueprints
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Deploy

Deploy on your own infrastructure for development and testing. When ready for productionget the assurance of securityAPI stabilityand support that comes with NVIDIA AI Enterpriseor access dedicated enterprise-grade NIM endpoints at NVIDIA partners.

Run NVIDIA NIM anywhere

NVIDIA NIM Learning Library


More Resources

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Community

Training and Certification

Inception for Startups

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Tech Blogs


Ethical AI

NVIDIA’s platforms and application frameworks enable developers to build a wide array of AI applications. Consider potential algorithmic bias when choosing or creating the models being deployed. Work with the model’s developer to ensure that it meets the requirements for the relevant industry and use case; that the necessary instruction and documentation are provided to understand error ratesconfidence intervalsand results; and that the model is being used under the conditions and in the manner intended.

Learn about the latest NVIDIA NIM modelsapplicationsand tools.

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