Difference between revisions of "Using the DevBox"

From edegan.com
Jump to navigation Jump to search
(Created page with "==Accessing the DevBox== Connect to the DevBox by SSH over the internal network. It is on: *192.168.2.202 *Username: researcher *Password hint: littleamount It has a /bulk s...")
(No difference)

Revision as of 15:57, 15 May 2019

Accessing the DevBox

Connect to the DevBox by SSH over the internal network. It is on:

  • 192.168.2.202
  • Username: researcher
  • Password hint: littleamount

It has a /bulk samba share that can be mounted from the RDP. Follow the instructions on Help:Access RDP Server.

Specification

Top1000.jpg

Our DIGITS DevBox, affectionately named after Lois McMaster Bujold's fifth God, has a XEON e5-2620v3 processor, 256GB of DDR4 RAM, two GPUs - one Titan RTX and one Titan Xp - with room for two more, a 500GB SSD hard drive (mounting /), and an 8TB RAID5 array bcached with a 512GB m.2 drive (mounting the /bulk share, which is available over samba). It runs Ubuntu 18.04, CUDA 10.0, cuDNN 7.6.1, Anaconda3-2019.03, python 3.7, tensorflow 1.13, digits 6, and other useful machine learning tools/libraries.

Working in Tensorflow

After you've connected to the box as researcher, you should be in /home/researcher. If not, cd there. Then load the virtual environment:

source ./venv/bin/activate

Test tensorflow:

python -c "import tensorflow as tf; tf.enable_eager_execution(); print(tf.reduce_sum(tf.random_normal([1000, 1000])))"