LucidTronix is a new Open-Source Electronics designer. We make
tutorials,
as well as transparent, beautiful, and lucid
devices.
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about us here.
Build a Deep Learning Linux Workstation
How we built a single GPU Linux workstation for deep learning.
We'll walk you through the process of building your own Linux computer optimized for Deep Learning. We recently got bit by the Deep Learning bug and after training a few Neural Nets on CPUs it became clear, we needed a GPU. One pivotal change in deep learning has been the advent of powerful GPU's capable of quickly performing the matrix computations necessary to train and test large neural nets. We base our workstation on Nvidia's
GeForce GTX Titan X GPU.
This GPU has 12GB of memory and a whopping 3072 cores. It comes highly recommended in Tim Dettmers
excellent and exhaustive evaluation of different GPUs
for use in deep learning. We use the newest Intel i7 processor, a the Hero Maximus motherboard from Asus, 16GB RAM and 1TB hard drive. There are a bunch of great sites for building a PC from scratch, we especially liked PC Part Picker and made use of their
system build feature.
Below we show a step by step guide to building the actual physical machine, which takes a few hours and is a lot of fun. We'll detail setting up the software environment for your Linux box in another tutorial to come.
Look at the GPU Glow
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Look at the GPU GlowThe GeForce Titan X GPU glows green against the blue LEDs of the Sentey computer case. -
The insides of the deep learning PCThe Deep Learning PC shows off its stuff. -
Intel and Maximus in Pale Blue GlowIf you squint, you can see the intel i7 CPU as well as the Maximus V Hero motherboard from ASUS. -
The insides of the deep learning PCThe Linux Deep Learner shows off its stuff.
The GeForce Titan X GPU glows green against the blue LEDs of the Sentey computer case.
Parts
| Title | Description | # | Cost | Link | Picture |
| NVIDIA GTX Titan X GPU (distributed by ASUS) | ASUS GeForce GTX TITAN X Graphics Card, 12GB GDDR5 384-Bit, PCI Express 3.0 HDCP Ready SLI Support Video Card (GTXTITANX-12GD5) | 1 | $999.99 | Link |
|
| Intel i7 CPU | Intel Core BX80646I74790K i7-4790K Processor (8M Cache, up to 4.40 GHz) | 1 | $339.99 | Link |
|
| Motherboard ASUS Hero for Intel | Asus MAXIMUS VII HERO LGA 1150 Intel Z97 HDMI SATA 6Gb/s USB 3.0 ATX Intel Motherboard | 1 | $209.99 | Link |
|
| Power Supply Bronze EVGA | EVGA SuperNOVA 750 B2 80+ BRONZE, 750W Semi Modular NVIDIA SLI and Crossfire Ready 5 Year Warranty Power Supply 110-B2-0750-VRValue:750W | 1 | $85.99 | Link |
|
| RAM | Crucial Ballistix Sport 16GB Kit (8GBx2) DDR3 1600 MT/s (PC3-12800) UDIMM Memory BLS2KIT8G3D1609DS1S00/ BLS2CP8G3D1609DS1S00Value:16GB | 1 | $66.99 | Link |
|
| Desktop Enclosure Standard ATX | Sentey® Gaming Computer Case Gs-6011 Blade / Transparent Side Panel / 1 X USB 3.0 + 1 X USB 2.0 + Hd Audio/mic / Removable Bays 3.5 and 2.5 / 2 X 12cm | 1 | $54.99 | Link |
|
| Magnetic Hard Drive | WD Blue 1TB Desktop Hard Disk Drive - 7200 RPM SATA 6 Gb/s 64MB Cache 3.5 Inch - WD10EZEXValue:1TB | 1 | $53.99 | Link |
|
| WiFi PCi Card | TP-LINK TL-WDN4800 Dual Band Wireless N900 PCI Express Adapter,2.4GHz 450Mbps/5Ghz 450Mbps, Include Low-profile Bracket | 1 | $37.24 | Link |
|
| CPU Fan | Cooler Master Hyper 212 EVO - CPU Cooler with 120mm PWM Fan (RR-212E-20PK-R2) | 1 | $31.24 | Link |
|
Tutorials
Quick tutorial on how we setup a Raspberry PI from scratch....
The MCP79410 breakout board gives easy access to this cute little timekeeper....
Wall-ter is a wall following robot....
Rainbow flower necklace using the TLC5940....
Play pong on a little LCD screen with two big joysticks....
Control a 120v outlet with a 5V arduino....
From simple rules emerge mysterious and intricate patterns....
Make an interactive light show using a proximity sensor, and a bunsh of shift registers and LEDs....
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