Let's start by saying that if I'm in the wrong forum please let me know so I can ask this question in the right place.
This is the first time building a home server and I would like it to be a file server, plex, and home assistant machine. Is there an OS that would best be suited for this...
Dell Precision 3650 Tower Workstation
8 core Xeon W-1370 / 24GB DDR4 / 256GB NVME with Windows 10 + 12TB HDD + **Dell warranty** valid through **3/09/2025** (see bottom for more specs)
NVIDIA PNY T1000 8GB
Plays Elden Ring on Ultra at 1080...
I have an EPYC/Supermicro server build with the below specs running ESXi 7.0 U2 and have been using GPU pass through to provide a 3070 to my Ubuntu Server VM. This has worked flawlessly for about 6 months until a few days ago when the GPU spontaneously is no longer recognized by the Nvidia...
I am just about to order some new GPU servers and am faced with the choice whether to get the 8 * A40, or 8 * A6000 in a 4U server chassis instead. Has anyone of you got any experience comparing the two for such 8 GPU builds? Is there an inherent advantage of one over the other in...
I generally buy Intel NICs but am looking to buy some ConnectX-5 NICs (new, not EBay) for the first time for use in a new TrueNAS box.
While the Intel NICs have "limited lifetime" warranties and unlimited access to firmware/software updates, it appears the ConnectX cards only have a 1 year...
I am interested in building a workstation or server that can tackle the above tasks and have a few GPUs knocking about. I have read numerous guides online, but most tend to advocate GTX/RTX and desktop hardware etc. I am in a relatively uncommon situation as I am an IT broker (primarily...
New to the forum pages here, so I hope I'm putting this in the right place.
I currently have an X8DTI-F board with two intel x5660's and about 40 or so GiB of ram running FreeNas.
I was looking to add a Tesla K10 for video encoding/plex streaming, but couldn't find support for the...
I am currently thinking about adding SLI-Bridges to an 8 RTX2080 Ti build in a Supermicro SuperServer 4028GR-TR for deep learning applications. NVLink bridges available for the RTX series only come in a 3/4-slot spacing, which is too wide in a server setting.
Looking at the NVLink...
I'm in the process of renewing my deep learning hardware, and particularly the GPUs. My host machine has 40 x16 lanes and 3 slots in 16x/16x/8x, so I think I will leave it untouched. Presently, I work with two 1080TIs.
Now, to achieve a good price/perf ratio when it comes to buy...
I have built and used successfully a home server for machine learning with two GeForce GTX 1060 (6Gb)s. I am now looking to invest in a rack server to run some models and research further, but I am quite stuck.
In general, does anyone have a suggestion for a mid/low-range rack server of...
Since we already did the NVIDIA Tesla P100 16GB SXM2 Monero mining speed, I figured I would burn-in the 8x Tesla V100 system for 15 minutes with this before benchmarking. Using the same Docker container for both. Here are the results.
[2019-01-06 02:11:22] accepted (153/0) diff 100001 (65 ms)
Just decommed a rack PC and replaced it with a NUC (for anyone that doesn't know, I made a post about the NUC7i7 and how its GOD mode, love them!) Anyway, I'll ship this in the case or will take the parts out if anyone wants. I always include a free BONUS item (Tablet, SSD, HDD, cell...
Here is the docker image for ccminer. The docker image is built with CUDA 9.0 from the official nvidia/cuda image so you need to have CUDA 9 compatible drivers installed on the host system. You do NOT need to have CUDA installed on the host system.
This is also meant for nvidia-docker2 so we...
Knocked this one out this evening since I know we now need crypto mining to go along with our deep learning nvidia cards.
nvidia-docker run -itd -e username=<insert_t_address> servethehome/zec_flypool_ewbf:cuda
nvidia-docker run -itd -e...
I am just going to take a few notes of what I do to start new systems for machine learning.
Get basic tools installed for Ubuntu including Docker:
sudo apt-get update && sudo apt-get upgrade -y
sudo apt-get install build-essential autoremove git
wget -qO- https://get.docker.com/ | sh
In the event someone is interested here are the NVIDIA Jetson TX2 lscpu and lshw outputs:
Byte Order: Little Endian
On-line CPU(s) list: 0,3-5
Off-line CPU(s) list...
Doing a bit of fun testing with the NVIDIA Tegra Jetson TX2.
First off, the installed Ubuntu 16.04 image will boot and be SSH-able without hooking up a keyboard monitor as the setup guide suggests. It will grab a DHCP address and register as "tegra-ubuntu" in the DHCP server so you can find it...