https://github.com/daemon/lab-machine-guide
Guide to building a machine for DL research.
https://github.com/daemon/lab-machine-guide
Last synced: 5 months ago
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Guide to building a machine for DL research.
- Host: GitHub
- URL: https://github.com/daemon/lab-machine-guide
- Owner: daemon
- License: mit
- Created: 2019-02-21T09:07:08.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2019-02-21T10:43:15.000Z (over 7 years ago)
- Last Synced: 2025-02-04T13:43:48.542Z (over 1 year ago)
- Homepage:
- Size: 5.86 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Overview
This collection of documents serves a highly specific purpose: to guide those whom have been tasked with building (from scratch) and maintaining a GPU-enabled computer for deep learning.
Specifically, this guide is applicable to beginners who wish to build a personal computer, graduate students who must build and maintain lab machines for their research group, and curious supervisors who just want to know what the aforementioned students are doing. I'll try to help the reader spec and build their own machine, maintain that machine for themselves and fellow users, and avoid critical mistakes, some of which I've made.
Note that this guide is not meant to be comprehensive. There are thousands of guides already for merely building a machine, and I will appropriately point the reader towards them. This guide presents high-level advice, along with specific things to prevent sht hitting the fan, and what to do when it does.
## About Me
I build and maintain lab machines for [Jimmy's research group](https://cs.uwaterloo.ca/~jimmylin/students.html) at the University of Waterloo.