How to Assemble a Deep Learning Machine - Full Process | Part 2
❤️ Become The AI Epiphany Patreon ❤️ https://www.patreon.com/theaiepiphany 👨👩👧👦 Join our Discord community 👨👩👧👦 https://discord.gg/peBrCpheKE In this second video of the series, I show you how to assemble a machine learning workstation from scratch! From unpacking and placing the CPU all the way to BIOS installation. ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Disclaimer: below are affiliate links - by clicking & buying I earn a percentage at no additional cost to you! :) Core components: * RTX 3090 https://geni.us/CU4C * AMD Ryzen 9 7950x https://geni.us/mJAJX * ARCTIC Liquid Freezer II 280 https://geni.us/7ec1Z * Asus ROG Crosshair X670E Hero https://geni.us/XxIa * Kingston Fury Beast https://geni.us/FB4a * Samsung 980 PRO 2 TB m.2 https://geni.us/AQuFQtB * SAMSUNG 870 QVO SATA III 8TB https://geni.us/iyDmwX * Lian Li PC-O11DW 011 DYNAMIC https://geni.us/2NrKFf * EVGA Supernova 1600 G+ https://geni.us/WGcJ Peripherals I use (super happy with my decision esp. keyboard!): * Dell U2720Q UltraSharp 27 Inch 4K https://geni.us/eyUy * Corsair K70 RGB MK.2 Mechanical w/ MX brown https://geni.us/bgZw * Mouse: Corsair M65 PRO RGB https://geni.us/ghLb List: https://uk.pcpartpicker.com/list/ryMsBj ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Some of the resources I found useful Build videos (+ I suggest you watch related shorter build videos that use the same case as you do): https://www.youtube.com/watch?v=YFA2IW-Rn5A https://www.youtube.com/watch?v=2v2fd1nrnkY Types of links I was using during the assembly (to give you some feeling): Wasn't sure whether I'm installing the GPU properly: https://www.reddit.com/r/buildapc/comments/ad92om/gpu_wont_click_into_motherboard_slot/ While I was connecting A-RGB liquid cooling: https://www.reddit.com/r/buildapc/comments/iskl5q/whats_the_difference_between_a_aura_addressable/ Wasn't sure how to connect SATA connectors (RGB fans): https://linustechtips.com/topic/790864-multiple-ssds-per-sata-cable/ My BIOS: https://rog.asus.com/motherboards/rog-crosshair/rog-crosshair-x670e-hero-model/helpdesk_bios/ Amazing installation instructions for Liquid Freezer II: https://support.arctic.de/en/lf2-240r4 Finally, simply search for "Install X" on YouTube if you're struggling (or Google for resources). ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ ⌚️ Timetable: 00:00:00 Intro 00:01:03 Unboxing 00:08:10 Preparing for the assembly 00:10:56 Installing the CPU 00:14:46 RAM 00:18:28 NVMe SSD 00:23:16 Preparing the case 00:24:40 Liquid cooling - preps 00:27:24 Mounting the MoBo 00:30:56 Liquid cooling - installation, thermal paste 00:37:18 GPU RTX 3090 founders edition 00:40:33 PSU - preps 00:41:30 Front panel connectors 00:46:17 PSU - installation, connecting the cables 00:51:16 Sanity check 00:52:24 First power on and debugging 00:59:00 Installing the BIOS and debugging 01:08:35 Installing the RGB fans 01:10:32 First power on with RGB fans! 01:11:47 Outro, learnings ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 💰 BECOME A PATREON OF THE AI EPIPHANY ❤️ If these videos, GitHub projects, and blogs help you, consider helping me out by supporting me on Patreon! The AI Epiphany - https://www.patreon.com/theaiepiphany One-time donation - https://www.paypal.com/paypalme/theaiepiphany Huge thank you to these AI Epiphany patreons: Eli Mahler Petar Veličković ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 💼 LinkedIn - https://www.linkedin.com/in/aleksagordic/ 🐦 Twitter - https://twitter.com/gordic_aleksa 👨👩👧👦 Discord - https://discord.gg/peBrCpheKE 📺 YouTube - https://www.youtube.com/c/TheAIEpiphany/ 📚 Medium - https://gordicaleksa.medium.com/ 💻 GitHub - https://github.com/gordicaleksa 📢 AI Newsletter - https://aiepiphany.substack.com/ ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ #deeplearning #machinelearning #rig #pc #workstation #build
