📢 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:   / mervinpraison  
Ko-fi: https://ko-fi.com/mervinpraison
Discord:   / discord  
Twitter / X :   / mervinpraison  
Sponsor a Video or Do a Demo of Your Product: https://mer.vin/contact/
Code: https://mer.vin/2024/06/nvidia-launch...

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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