Deploy Accelerated AI with NVIDIA NIM in 5 Minutes
In this video, the host from All About AI introduces NVIDIA NIM, a platform designed to simplify the deployment of accelerated AI models. The video covers three main points: an overview of the NVIDIA API catalog, an explanation of what NVIDIA NIM is, and a step-by-step guide on how to deploy NVIDIA NIM.
1. **Introduction to NVIDIA NIM**: The video starts by highlighting the advantages of using NVIDIA NIM compared to doing it yourself. NVIDIA NIM is designed for engineers, enterprises, and hobbyists who want to optimize their AI models into production. It offers quick deployment, API standardization, and pre-built engines like Mistal 7B and Llama 3 72B. The platform supports various deployment environments, including servers, cloud, and local machines.
2. **NVIDIA API Catalog**: The host navigates to the NVIDIA API catalog available at build.nvidia.com, showcasing a range of models such as Llama 3 70B, Mistal 8B, and Neotron 340B. The catalog includes tags indicating which models are available for NIM. Users can test models in the playground, copy code, and get API keys for deployment. The video explains how to download and set up NIM containers from the API catalog.
3. **Deploying NVIDIA NIM**: The host demonstrates the deployment process, starting with the prerequisites like having an NVIDIA GPU, installing Docker, and setting up the NVIDIA container toolkit. The video shows how to run a Docker command to launch a NIM container and verify its operation. The host then demonstrates how to use the NIM container with existing scripts by modifying them to use the NIM API, which supports OpenAI’s API format. This allows for seamless integration with previous scripts and easy deployment of AI models.
The video provides a comprehensive guide to deploying NVIDIA NIM, highlighting its flexibility, ease of use, and support for various AI models. It emphasizes the platform’s potential for quick and efficient AI deployment in production environments.