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How to build a 8 GPU password cracker

How to build a 8 GPU password cracker


This build doesn't require any "black magic" or hours of frustration
like desktop components do. If you follow this blog and its parts list,
you'll have a working rig in 3 hours. These instructions should remove
any anxiety of spending 5 figures and not knowing if you'll bang your
head for days.

The Goal

Upgrade our current rig from 6 gtx 970s to 8 gtx 1080. Don't blow a fuse.

Parts listHardware
* Chassis - Tyan Ft77C-B7079 (P/N: B7079F77CV10HR-N)
* CPU - 2 Xeon E5-2620V3 LGA2011 (dont purchase one CPU, 2 are required
to control all PCIE slots)
* Memory - 2 32g DDR PC4-200 288pin LRDIMM
* Hard drive - 1tb Samsung SSD 850 EVO
* GPUs - 8 EVGA gtx1080 founders edition (whatever you get, make sure
its a founders edition. Sometimes called a reference card/edition)
* Ubuntu - 14.04.3 server (x64)
* hashcat -
* hashview -

Nowadays building mid-grade to high-end password crackers is like
playing with legos, albeit expensive legos.

We did a time lapse of the build:

Build notes

There are few things we learned during the purchasing and assembly.

1. You don't need to purchase a separate heatsink and fan for your CPUs.
The Tyan chassis will come with them.
2. Tyan chassis comes with brackets that screw into the back of you GPUs
to secure them in place. These may not be needed if you never move
the box, but it doesn't hurt to install them. We did.
3. Rails are included with the Tyan.
4. This chassis doesn't appear to have a onboard hardware raid. I just
assumed it would :-(
5. BIOs didn't require any modifications or flashing. Came fully updated
as of January 2017.
6. We disabled the system speaker because it will scream at you if you
don't have all three power supplies plugged in.

The memory slots are not labeled. Fill the banks similar to this image.

In the image below you can see the brackets that attach to the rear of the
GPU for added support. Probably not needed but if you were to ship this rig
I'd install them. This thing is HEAVY!

 Software Install

We had no hardware issues but we installed one GPU, booted the system, and
once we verified it could POST with no issues, we started installing the
OS. Once Ubuntu finished installing, we later reinstalled all GPUs. Since
things went so smoothly, next time I'd just fully install all GPUs and fire
it up. Nothing to worry about.

Install Ubuntu 14.04.3 Server (x64)

Not going to cover this in detail. But here are few things we considered.

1. Use LVM
2. We chose not to encrypt whole disk or home directory. We generally
make an encrypted volume later.
3. Choose 'OpenSSH Server' from software selection screen (one less step
post install)

Once OS is installed, verify GPUs are detected by OS:

lspci | grep VGA

Update and install dependencies for drivers and hashcat

sudo apt-get update && apt-get upgrade
sudo apt-get install gcc make p7zip-full git lsb-core

 Download and install Nvidia drivers and Intel OpenCL runtime

Download Nvidia drivers. Nvidia 375.26 was current at the time of this
build (January 2017).

chmod +x
sudo ./

If you get warning messages about x86 you can ignore them. Here's an
example of one:

WARNING: Unable to find a suitable destination to install 32-bit
compatibility libraries. Your system may not be set up for 32-bit
compatibility. 32-bit compatibility files will not be installed; if you
[Cto install them, re-run the installation and set a valid directory with
the --compat32-libdir option

Install OpenCL runtime (not required but why not, use those CPUs too)

tar -xvf opencl_runtime_16.1.1_x64_ubuntu_6.4.0.25.tgz
cd opencl_runtime_16.1.1_x64_ubuntu_6.4.0.25

 Install hashcat -

7z x hashcat-3.30.7z
cd hashcat-3.30

Test hashcat by running a 341 GH/s!!!!

meatball@kraken3:~/hashcat-3.30$ ./hashcat64.bin -m 1000 -b
hashcat (v3.30) starting in benchmark mode...

OpenCL Platform #1: NVIDIA Corporation
* Device #1: GeForce GTX 1080, 2028/8113 MB allocatable, 20MCU
* Device #2: GeForce GTX 1080, 2028/8113 MB allocatable, 20MCU
* Device #3: GeForce GTX 1080, 2028/8113 MB allocatable, 20MCU
* Device #4: GeForce GTX 1080, 2028/8113 MB allocatable, 20MCU
* Device #5: GeForce GTX 1080, 2028/8113 MB allocatable, 20MCU
* Device #6: GeForce GTX 1080, 2028/8113 MB allocatable, 20MCU
* Device #7: GeForce GTX 1080, 2028/8113 MB allocatable, 20MCU
* Device #8: GeForce GTX 1080, 2028/8113 MB allocatable, 20MCU
Hashtype: NTLM
Speed.Dev.#1.....: 42896.1 MH/s (62.48ms)
Speed.Dev.#2.....: 42604.1 MH/s (62.97ms)
Speed.Dev.#3.....: 42799.0 MH/s (62.57ms)
Speed.Dev.#4.....: 42098.9 MH/s (63.68ms)
Speed.Dev.#5.....: 42871.5 MH/s (62.57ms)
Speed.Dev.#6.....: 42825.0 MH/s (62.64ms)
Speed.Dev.#7.....: 42848.9 MH/s (62.54ms)
Speed.Dev.#8.....: 42449.8 MH/s (63.16ms)
Speed.Dev.#*.....: 341.4 GH/s
Started: Mon Feb 13 17:54:12 2017
Stopped: Mon Feb 13 17:54:31 2017

 Install hashview -

Install dependencies

sudo apt-get update
sudo apt-get install mysql-server libmysqlclient-dev redis-server openssl

Optimize the database

vim /etc/mysql/my.conf

Add the following line under the [mysqld]section:

innodb_flush_log_at_trx_commit = 0

Restart mysql

service mysql restart

Install RVM - (commands below are from

gpg --keyserver hkp:// --recv-keys 409B6B1796C275462A1703113804BB82D39DC0E3
\curl -sSL | bash -s stable --ruby

Download and setup Hashview

git clone
cd hashview

Install gems (from Hashview directory)

rvm install ruby-2.2.2
gem install bundler
bundle install

Setup database connectivity

cp config/database.yml.example config/database.yml
vim config/database.yml

Create database

RACK_ENV=production rake db:setup

In another terminal or screen session, kick off resque

RACK_ENV=production TERM_CHILD=1 QUEUE=* rake resque:work

note: In production mode no output will be displayed until a job has

Run Hashview

RACK_ENV=production ruby hashview.rb

 Crack Hashes

Start a job and start cracking!

Then intensely watch analytics in realtime while sipping on your favorite

Stay tuned...

We just bought our second 8 GPU rig! In a future post we'll show you how to
easily support distributed cracking using Hashview.