Changes

==DocumentationIntroduction== This page details the build of our [[DIGITS DevBox]].

However, unfortunately, the form to get help from NVIDIA is closed [https://info.nvidianews.com/early_access_nvidia_3_15.html][https://www.reddit.com/r/buildapc/comments/3gewmz/build_complete_nvidia_digits_devbox/][https://www.pyimagesearch.com/2016/06/06/hands-on-with-the-nvidia-digits-devbox-for-deep-learning/]. And most of the other specs are limited to just the hardware [https://www.reddit.com/r/buildapc/comments/3gewmz/build_complete_nvidia_digits_devbox/][https://cellmatiq.com/?p=155][http://graphific.github.io/posts/building-a-deep-learning-dream-machine/][https://pcpartpicker.com/b/FGP323]. The best instructions that I could findwere:

The DevBox is currently unavailable from Amazon [https://www.amazon.com/Lambda-Deep-Learning-DevBox-Preinstalled/dp/B01BCDK1KC], and at around $15k buying one is prohibitive for most people. Some firms, including Lamdba Labs, Bizon-tech, are selling variants on them, but the details on their specs are limited (the MoBo and config details are missing entirely): *[https://lambdalabs.com/deep-learning/workstations/4-gpu**https://pcpartpicker.com/b/FGP323*], Bizon-tech [https://bizon-tech.com/us/bizon-g3000], are selling variants on them, but their prices are high too and the details on their specs are limited (the MoBo and config details are missing entirely).*http://deeplearningbox.com/*https://wwwBut the parts cost is perhaps $4-5k now for the original spec! So this page goes through everything required to put one together and get it up and running.amazon.com/Lambda-Deep-Learning-DevBox-Preinstalled/dp/B01BCDK1KC (currently unavailable)

We mostly followed opted to use a Xeon e5-2620v3 processor, rather than the Core i7-5930K. We had both available and both support 40 channels and mount in the original hardware spec from NVIDIALGA 2011-v3 socket, updating and have 6 cores, 15mb caches, etc. Although the capacity of i7 has a faster clock speed but the drives and other minor thingsXeon takes registered (buffered), ECC DDR4 RDIMMs, as which means we had many of these parts available as salvage from other boxescan put 256Gb on the board, rather than just 64Gb. Though For the GPUs we had have a TITAN RTX and an older TITAN Xp available to start, and we can add a 1080Ti later, or buy some additional GPUs if needed. We also put the ASUS X99whole thing in a Rosewill RSV-E WS motherboard (as well as some new drives) just for this projectL4000 case.

There weren't any particularly noteworthy things about the hardware build. The GPUs need to go in slots 1 and 3, which means they sit tight on each other. I We put the Titan XP in slot 1 (and plugged the monitor into its HDMI port), because then the fans for the Titan RTX (which I we expect will get heavier use) are in the clear.The fans were set up on a push and pull arrangement, and the hot-swap bay was put in the center position to allow as much airflow past the GPUs as possible. ===BIOS===

==We did NOT update the BIOS==. It didn't need it. The m.2 drive is visible in the BIOS and will be used as a cache for the RAID 5 array (using bcache). The GPUs are recognized as PCIe devices in the tool section. And all of the SATA drives are being recognized.

The machine boots to BIOS. I We then made the following changes:*The GPUs are being recognized - see the tool section!*All of the SATA drives are being recognized

*Listed List the OS as "Other OS " rather than windows, and set enhanced mode to disabled