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Study mode:
on
1
Intro - announcing the new series
2
Why should you build your deep learning workstation?
3
Quick skim of the components
4
pcpartpicker is your friend
5
Cost comparisons - Lambda Labs workstation & laptop, cloud
6
Researching the components - useful resources
7
Overview Tim Dettmers' blogs
8
Do you need 11+ GBs?
9
Don't follow someone's advice blindly!
10
Upgrade to NVIDIA 40x series?
11
Other resources
12
How to pick the right components?
13
CPU - Ryzen 9 7950x or Threadripper?
14
CPU Cooler
15
MoBo
16
Memory and storage
17
Case
18
PSU
19
Quick mention of my peripherals
20
Advice for targeting your particular budget
21
Tips for buying components - site aggregators, Amazon, legitness
22
Outro
Description:
Learn how to build a custom deep learning machine in this comprehensive 49-minute video. Discover the benefits of building your own workstation, compare costs with pre-built options and cloud services, and gain insights into selecting the right components. Explore essential resources for researching parts, understand the importance of GPU memory, and receive guidance on choosing CPUs, motherboards, memory, storage, cases, and power supplies. Get practical advice on budgeting, component purchasing, and avoiding common pitfalls in the build process. Whether you're a beginner or an experienced builder, gain valuable knowledge to create a powerful machine tailored to your deep learning needs.

How to Build a Deep Learning Machine - Everything You Need to Know

Aleksa Gordić - The AI Epiphany
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