Building My Ultimate Machine Learning Rig from Scratch! | 2024 ML Software Setup Guide

Join me on an exhilarating journey as I dive into the world of Machine Learning by building my very own ML rig from scratch! This video is your all-in-one guide to assembling a powerful machine learning computer, explaining every component's role in ML tasks, and setting up the essential software to get you up and running in the world of artificial intelligence.

🔧 What's Inside:
Component Selection: Dive deep into the heart of my machine as I explain why I chose each piece of hardware for my ML rig, covering the CPU, GPU, RAM, and more. Understand the critical role these components play in machine learning projects and how they can accelerate your computations.

Building Process: Watch as I put together all the pieces, sharing tips and tricks for assembling your machine learning computer. Whether you're a seasoned builder or a first-timer, there's something for everyone to learn.

Software Installation: The right tools can make or break your ML projects. I'll walk you through installing and configuring key machine learning software and libraries such as PyTorch, TensorFlow, CUDA, local Large Language Models (LLMs), Stable Diffusion, and more. Get insights into each tool's unique strengths and find out how to leverage them for your projects.

📚 Why This Matters:
Building a dedicated machine learning rig can be a game-changer for hobbyists, students, and professionals alike. By customizing your setup, you unlock new potentials in processing speed, efficiency, and the ability to handle complex models and datasets. This video aims to demystify the process and empower you to take your first step into a larger world of AI and ML.

💡 Perfect For:
AI/ML enthusiasts eager to build their specialized hardware.
Anyone interested in the hardware aspect of machine learning.
Viewers looking to install and use major ML software and libraries.

📌 Timestamps:
0:00 - Intro
0:25 - Parts
3:04 - The Build
4:48 - Ubuntu Server 22.04 LTS
7:25 - Tailscale
8:10 - NVIDIA Drivers
8:54 - Ollama
10:01 - Code Server
11:30 - Anaconda
12:07 - CodeLlama
13:47 - PyTorch
14:37 - Stable Diffusion
15:41 - Docker w/ GPUs
16:37 - Isaac Gym
18:23 - Tensorflow & CUDA Toolkit
21:10 - Conclusion

🔗Links & Resources:

Isaac Gym:

#MachineLearning #TechBuild #AISoftwareSetup #DIYComputerAssembly #MLRig #ArtificialIntelligence

[Hamisaah]

You put so much effort and knowledge into this video! I watched all the way and it was interesting how you demonstrated the whole build from scratch. Keep it up!

[dominiclovric]

This is the best video I've seen on this topic! Well done!

[hasannkursunn]

Resources that you shared are amazing👍 I always see videos teaches you how to build the system but your video includes much more than that👌 Thank you very much!

[init_yeah]

nice vid man im still saving up for my setup, got the 4080 super already the rest will be easy!

[sergeziehi]

This, is days of work!!! Compile freely in 1 single video. Thanks!! For that.pricesless information here

[naeemulhoque]

Bro Made one OP video! 🔥🔥🔥🔥😃

Please make more LLM focused video.
1. More PC building guide for LLMs.
2. Difference between quantized models.

[Eric_McBrearty]

This was a great video. I had to pause it like 10 times to make bookmarks to all of the resources you dove into. The I saved it to Reader, and summarized it with ShortForm. Great stuff. You went into just enough detail to cover the whole project and still keep the video moving along.

[Chak]

I echo other comments; this is such a great video and you can see the effort put in, and you present your knowledge really well. Keep it up :)

[thethinker]

Amazing project !! One step away from creating a personalized Jarvis hope you create one 👍

[pradeepr]

Absolutely loved the video. Learnt a lot. Thank you...

[halchen]

This is so cool, im definitely gonna try this when I get my hands on some extra hardware. Amazing video. I can also imagine this must be pretty awesome if youre some sort of scientist/student at a university that needs some number crunching machine since youre not limited to being at your place or some pc lab.

[DailyProg]

I found your channel today and binged all the content. Please please please keep this up

[benoitheroux]

Nice video, well done ! this is promising content! Can't wait to see you try some Devin like stuff or test other way to use LLMs.

[ashj]

very comprehensive video, thanks a ton!!!

[jefferyosei]

This is such a good video. Thank you, can't wait to see your channel grow so big, you're awesome and oh we share the same process of doing things 😅

[jordachekirsten]

Great clear nd thorough content. I look forwrard to seeing more! 🤓

[joelg]

All i need for my AI Machine is the gpu im going for a dual 3090ti 24gb vram. AM5 x670e with gen5 pcie will support both cards with pcie bifurcation splitting the 5th gen 16x to 8x8x.

[deltax]

Cant wait to build my first ML machine

[chiralopas]

You just don't know for how many days I was trying to find something which can let me run AI stuff from vscode itself. Thanks!

[Zelleer]

Cool vid! Not sure about pulling hot air from inside the case, through the rad, to cool the CPU though. But really a great video for anyone interested in setting up their own AI server!