NVIDIA NIM and NVIDIA Launchpad Tutorial

📢 Welcome to our comprehensive tutorial on deploying large language models using NVIDIA NIM and NVIDIA Launchpad! In this video, you'll learn how to self-host AI models either in the cloud or on your own computer. Self-Hosting AI Models Made Easy! This guide covers everything from setup to integration with practical applications. 🚀 NVIDIA NIM: https://nvda.ws/4b9XbEv Generative AI/LLM Learning Paths: https://nvda.ws/3WQxS6D 🔍 What You'll Learn: Instantly deploy generative AI models using NVIDIA NIM Self-host AI models in your chosen environment Use NVIDIA Launchpad for free access to enterprise hardware & software Step-by-step process to deploy and test AI models Integrate AI models into applications with Python and Docker 🛠️ Key Steps Covered: Requesting access to NVIDIA Launchpad Setting up your environment and logging in Deploying the LLaMA 70B model on your computer Testing and verifying the deployment Creating a user-friendly application interface 💡 Benefits: Secure deployment with data never leaving your enclave Access to powerful NVIDIA hardware for AI testing and prototyping Hands-on learning with real-world AI applications 🔗 Relevant Links: Patreon: https://patreon.com/MervinPraison Ko-fi: https://ko-fi.com/mervinpraison Discord: https://discord.gg/nNZu5gGT59 Twitter / X : https://twitter.com/mervinpraison Sponsor a Video or Do a Demo of Your Product: https://mer.vin/contact/ Code: https://mer.vin/2024/06/nvidia-launchpad-nim/ 👍 Don't forget to like, share, and subscribe for more AI tutorials! Timestamps 0:00 - Introduction to NVIDIA Launchpad and NIM 0:21 - Deploying NVIDIA NIM on your computer 0:44 - Introduction to NVIDIA Launchpad 1:17 - Detailed steps to deploy NVIDIA NIM 3:02 - Testing the deployed large language model 6:01 - Integrating the model into a Python application 8:06 - Final thoughts