Deploy NVIDIA Modulus on Google Cloud GPUs with Docker - Physics-ML Simulation with Neural Networks
Автор: TecunTecs: AI-powered Science
Загружено: 2024-04-17
Просмотров: 912
Описание:
Deploy the NVIDIA Modulus Library on Google Cloud's GPU-powered VMs. Utilizing NVIDIA AI Enterprise's optimized VM instances available on the Google Cloud Marketplace, I'll walk you through every stage of setting up and running a Physics-ML simulation. Using a practical Computational Fluid Dynamics example—Navier Stokes Flow—you'll gain hands-on experience with the power of NVIDIA Modulus. I'll also show you how to transfer your simulation results from the virtual machine to a Google Cloud Storage bucket.
If you find this video helpful, please consider supporting me on Patreon at / tecuntecs . Your support helps me produce more educational content and update with the latest advancements.
Google Doc with documentation, links, and commands:
https://docs.google.com/document/d/1o...
Getting Started - NVIDIA AI Enterprise on Google Cloud:
• Getting Started - NVIDIA AI Enterprise on ...
How to Access GCS bucket from GCP VM:
• How to Access GCS bucket from GCP VM
Credit for the art ("The hero") on my desktop backgroudn goes to annalaura_art
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0:00 - Tutorial Purpose
2:27 - Google Cloud Requirements (GPU Quota)
8:40 - Launch NVIDIA AI Enterprise (Google Cloud Marketplace)
16:36 - Connect to VM
19:28 - Enable API Key
27:08 - Pull NVIDIA Modulus Docker Image
30:00 - Run NVIDIA Modulus Docker Container
33:45 - Run Simulation Example
36:31 - GPUs Prices Discussion
41:24 - Simulation Output Files
55:02 - Google Cloud Storage
01:09:03 - Outro
1:12:45 - Support Me on Patreon
Support the Channel:
If you enjoy my content and want to help support future tutorials and projects, feel free to donate. Donations are voluntary and go directly toward improving the channel. https://www.paypal.com/donate/?hosted...
Please note: Donations do not include access to private GitHub repositories. For that, please check the payment link in videos with exclusive GitHub repository access—in this specific video, however, I made an exception and chose to make all the materials public.
José Alvarez Cabrera
linkedin.com/in/jose-alvarez-cabrera
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