NVIDIA NIM

Overview of NVIDIA NIM

NVIDIA NIM provides containers to self-host GPU-accelerated inferencing microservices for pretrained and customized AI models across clouds, data centers, and RTX AI PCs and workstations. These microservices expose industry-standard APIs for simple integration into AI applications, development frameworks, and workflows while optimizing response latency and throughput for each combination of foundation model and GPU. The platform simplifies the journey from experimentation to deploying enterprise AI applications by providing enthusiasts, developers, and AI builders with pre-optimized models and standard APIs for building powerful AI agents, co-pilots, chatbots, and assistants.

With inference engines built on leading frameworks from NVIDIA and the community including TensorRT, TensorRT-LLM, vLLM, and SGLang, NIM is engineered to facilitate seamless AI inferencing for the latest foundation models on NVIDIA GPUs. Developers can maintain security and control of applications and data with prebuilt microservices that deploy on NVIDIA GPUs anywhere – from RTX AI PCs and workstations to data centers or the cloud. This makes it ideal for AI APIs & SDKs and AI Model Hosting solutions.

How to Use NVIDIA NIM

Getting started with NVIDIA NIM involves three main pathways: try, build, and deploy. Developers can begin by accessing free NIM API endpoints for unlimited prototyping through the NVIDIA Developer Program membership, which provides NVIDIA-hosted NIM APIs and containers for development and testing. For building applications, developers can leverage sample applications built with NIM and partner microservices through NVIDIA Blueprints, which can be deployed in one click with NVIDIA Launchables, downloaded for local deployments on PCs and workstations, or used for development in datacenters and private clouds. Finally, for production deployment, organizations can run NIM on their own infrastructure for development and testing, then move to production with NVIDIA AI Enterprise for enterprise-grade security, API stability, and support.

Core Features of NVIDIA NIM

• Optimized Model Performance – Accelerated engines from NVIDIA and community for low-latency, high-throughput inferencing
• Run AI Models Anywhere – Deploy on NVIDIA GPUs from RTX AI PCs to data centers and cloud environments
• Broad Model Support – Thousands of AI models and customizations with community fine-tuned options
• Enterprise Scalability – Detailed observability metrics and Kubernetes scaling with Helm charts
• Industry-Standard APIs – Simple integration into existing AI applications and development workflows

Use Cases for NVIDIA NIM

• Building AI agents and co-pilots for enterprise applications
• Creating intelligent chatbots and virtual assistants
• Deploying retrieval-augmented generation (RAG) pipelines
• Implementing agentic AI workflows and automation
• Self-hosting AI models on organizational infrastructure
• Developing generative AI applications with optimized performance
• Scaling AI inferencing across Kubernetes environments

Support and Contact

For technical support and inquiries, developers can access the NVIDIA Developer Forums and community resources. Additional support is available through the official contact channels at contact@nvidia.com for enterprise and development inquiries.

Company Info

NVIDIA Corporation is a leading technology company specializing in graphics processing units, artificial intelligence, and high-performance computing. The company provides cutting-edge AI solutions and development platforms for enterprises, researchers, and developers worldwide through its comprehensive suite of hardware and software technologies.

Login and Signup

Developers can access NVIDIA NIM through the NVIDIA Developer Program for free membership. The NVIDIA API Catalog provides access to NIM API endpoints and documentation for getting started with AI model deployment and integration.