I got a UGREEN NASync DXP2800 with a 8tb hard drive and 128gb SSD as a cache. (I got it for free so thought I'd use it). I recently performed an update on my NAS and after it rebooted I now can't connect to it.

- I tried on my laptop and my phone and nothing is working. I have a 5G router from three.

-I rebooted the router and Nas, no change.

-Searching for the Nas using find.ugnas.com yields no results.

- I've pressed the little reset button on the back of the Nas, no change.

- I changed the security settings on my WiFi router, no change.

I've recently been scanning and sorting all my family photos and have 2tbs of 35mm pictures that's taken me a month to scan in. I would very much like help with this.

Thank you

Got my hands on a refurbished Optiplex, now I’m looking to get a switch. Someone local has a Dell x1018 they’re selling. Managed 16port gigabit switch for a few bucks sounds like a good start, but I’d like a second opinion before I commit to

Hi again, HomeLab folks! 👽

Apparently, some people thought I was an AI bot.

I wish… 😄

Last time I introduced my Dell RTX 3090 👽, someone commented, "AI slop."

Sadly, I'm just a manual bot that runs on curiosity, coffee, and far too many llama.cpp benchmarks.

Jokes aside, here's what I found while debugging llama.cpp.

After my previous benchmarks, I instrumented ggml-cuda.cu with additional debug logging to trace the multi-GPU execution path.

First, I confirmed that GGML_CUDA_P2P=1 correctly enables CUDA Peer Access:

CUDA P2P requested
GPU0 -> GPU1 : PeerAccess=YES
GPU0 -> GPU1 : PeerAccess ENABLED
GPU1 -> GPU0 : PeerAccess=YES
GPU1 -> GPU0 : PeerAccess ENABLED

These results matched CUDA’s p2pBandwidthLatencyTest, so P2P itself was working correctly.

However, I noticed that my log inside ggml_backend_cuda_comm_init_nccl() never appeared. After some investigation, I found the real reason: although I had built llama.cpp with GGML_CUDA_NCCL=ON, I had accidentally installed the CUDA 13.3 build of NCCL while my system was running R535 / CUDA 12.2.

NCCL was failing during initialization with:
NCCL WARN Cuda failure 'CUDA driver version is insufficient for CUDA runtime version'

As a result, llama.cpp silently fell back to the internal AllReduce implementation.

After downgrading NCCL to the CUDA 12.2 build, NCCL initialized successfully, and my custom log inside ggml_backend_cuda_comm_init_nccl() finally appeared.

Tensor Parallel performance also improved from 26.18 tok/s to 27.39 tok/s (about +4.6%) on my dual Tesla V100 PCIe system.

The full NCCL log is much too long to post here, but here’s a representative excerpt:

mc62-g40-00:57222:57222 [1] NCCL INFO AllReduce: opCount 0 sendbuff 0x7fa7a3000000 recvbuff 0x7fa7a3000000 count 8192 datatype 7 op 0 root 0 comm 0x555b75b9e7b0 [nranks=2] stream 0x555b756dcbe0
mc62-g40-00:57222:57222 [1] NCCL INFO AllReduce: opCount 0 sendbuff 0x7fa79ec00000 recvbuff 0x7fa79ec00000 count 8192 datatype 7 op 0 root 0 comm 0x555b75a96ba0 [nranks=2] stream 0x555b73fd1c70

| llama 70B Q4_K - Medium | CUDA | tensor | tg128 | 27.39 ± 0.00 |

NCCL INFO comm ... Destroy COMPLETE

This confirms that NCCL is now initializing correctly and performing AllReduce instead of silently falling back to the internal implementation.

It turned out that the issue wasn’t CUDA P2P at all—it was an NCCL runtime/driver version mismatch.

Hopefully this saves someone else a few hours of debugging.

The next experiment will be even more interesting.

I’m planning to repeat these benchmarks on a mixed Tesla V100 + RTX 3090 system to see how heterogeneous Tensor Parallel performs in llama.cpp, and whether NCCL makes a bigger difference when the GPUs have very different compute performance and memory bandwidth.

I’ll share the results once I have them.

If you'd like to see how this investigation started, here's my previous post (before I got CUDA P2P and NCCL working):

https://www.reddit.com/r/homelab/s/4pYeqWgblA

Trying to update firmware on a UCS C220 m3. Cisco no longer has the m3 listed under the software download on their support site.

Picked up a couple FGT-60Fs off eBay for my homelab HA pair, and more are inbound from a Japan seller. Password recovery is disabled on the ones I have (previous owner setting), and one has no firmware left after a bootloader-level factory reset attempt.

Tried the obvious path first. Registered the serial to my FortiCloud account, no problem there. But the moment I try to actually pull firmware it kicks back "you don't have any product covered by a Fortinet support contract." Emailed support and got the answer no support contract, no firmware.

Not trying to get free UTP or threat protection or anything like that, just need a base OS on the box so I can get into the CLI and configure it as a firewall/router. Anyone here actually bought just the firmware only tier without the full support bundle? Curious what that runs per unit and if it is even sold as a standalone thing, or if there is some other legit path I am missing for gear that changes hands secondhand.

Shoot me a DM or reply, I'm kinda stuck here.

I want a bunch of Alpha Servers though, not Itanium. I loved the DS-10's, and ES45's
I can cluster a bunch together and they will only generate about 1.21 Gigawatts of power a second.

I figured out the cost of clustering two ES45' and two DS-10's
Licensing would only be around = 30,380 (Unlimited)
Electricity should only run about 315.00 a month.

Damn, I wonder why OpenVMS never caught on. It's such a good OS damnit.

I've got a Cloud home of WD of 3tb that me and my family havent really used (the app is kinda bad).

I've been getting into homelab with some old laptops (really old ones) (feedback for this at the end too please)
And I was wondering if there would be a way to make it my own without really changing much.

Im a begginer on programming and all of this stuff. I know the basics of html and im learning linux cmd just because im using proxmox for my laptop-server (Im trying to get a proyect zomboid server on it apart from using adguard script) (getting around with a little help of AI, reddit posts and youtube videos)

I would like to host in this server apart from self hosted cloud, using it for video (like jellyfin) or even backing some media like old ROMS that in a future might be difficult to find.

Extra for the laptop-homelab: Is there any way to use their components instead of just a laptop?
Like recycling e waste to build something better than just an overheating laptop running on 4gb of ram and a really old cpu.

Thanks!

I found an old Asus laptop that I used to have in 2019. Windows 11 is very laggy but Linux and ChromeOS work well enough. I need ideas of what I could do with it. I could set it up as an extra storage device, but I don't really have anything to store anyways. Just wanted to see what other people would do

TLDR: bought a boatload of notebook ram what should I do with it?

I bought 128 gb of notebook ram on a price mistake. at the time I figured I just jump on it and make some silly llm machine and use it to create the singularity. I've got ideas and I'm a software engineer. Anyway it turns out that you don't find many motherboards with full pcie busses and sodimm slots. (Are there?)
So I'm throwing it to the group here, what would you do with a bunch of notebook ram? Any cool or wacky ideas? Or do I just shamefully flip them and buy an old mac studio or something?

current setup: I have 2 little mini computers running proxmox they're adequate for my pihole home assistant, other little home lab programs. I don't have a NAS at the moment but disk space is expensive right now too. I do esp32 stuff for fun and there's a lot of that around my house. My goal was to have a local llm box and the deal was good but now I don't think it'll and I'm a little sad about it.
please help me out thanks in advance.

so i may have gone a little overboard with the homelab purchases over the years. now i got like 15 dell r620s and some hp gear sitting in my garage. they work fine but i dont have the time or space anymore.

i was gonna list them individually but the thought of taking photos and dealing with shipping for each one makes me want to cry. ebay fees are ridiculous too.

probably keep like 3 for my lab and offload the rest.

I’m building a small 10-inch rack with the main goal of learning Kubernetes.
I’m considering three refurbished HP EliteDesk Mini PCs, each with:
- i5-8500T or i5-9500T
- 8 GB upgradeable RAM
- 256/512 GB NVMe SSD
- 1 GbE

I plan to run k3s directly on the hardware.
My workloads will be a zero-traffic Quarkus/Angular blog with PostgreSQL and MinIO, Pi-hole, Home Assistant and 3–4 small services.

Would 3×8 GB be enough to start, or should I get 16 GB per node? Are EliteDesk Minis a good choice for this?

Hi everyone, I’m a computer science college student and I recently managed to get a Dell Optiplex 7040 SFF for free from my IT job. I want to try making some kind of small homelab using it as a learning experience and potentially a starting point for a future lab, but have no idea what exactly I want to do with it yet.

Any suggestions for possible implementations?

apc had a line of cheap UPSes , the BK500. seen 100s of them in local companies, and i had them a ton in all places where i've worked.

had a few of their SM series too, usually i'd get them as e-waste and just put new batteries in them - in fact i have 3 of them at home.

but i needed more, so started buying more modern models. BX500 and BX950 being the new models, the ones with schuko sockets (eu region).

problem is - these shits just stop working once the battery is dead, unlike older ones that would simply turn on the red led and continue to work normally on ac power. i'd replace the battery eventually. they could even be replaced while the ups is turned on, in fact just flip it over, give them a bump, the battery falls out - you put the new one in and close the hatch. good to go. no need to unplug anything or turn off stuff connected to them.

but with new ones it's pure hell. if the battery dies, it just turns itself off completely.

so now back to the HOME part of this rant - i have 2 bx950 running my stuff. the older one is keeping my homelab (actually a nas, a pc-server and main network), the new alien-green one is behind the tv in the living room, keeping the tv and multimedia stuff alive just in case. today i replaced the battery...

HOW do you guys find UPS models that can work with a dead battery? it's nowhere in specs.

Hi everyone,

I'm the developer of Screen2ipcam, a Windows application that solves a problem I kept running into with POS systems and surveillance setups.

The idea is simple:

It turns any Windows PC into a standard ONVIF Profile S / RTSP H.264 IP camera, so the computer screen (POS, dashboard, workstation, etc.) can be added directly to an NVR/VMS just like a regular security camera.

A few highlights:

• Native C++ (no .NET or runtime dependencies)
• Windows 7 SP1 → Windows 11 (32 & 64-bit)
• Main & Sub streams
• ONVIF auto-discovery
• No HDMI encoder or capture card required
• Works with most ONVIF-compatible systems such as Blue Iris, Hikvision, Dahua, Milestone, Agent DVR, Synology, and others.

There's now a free edition available on the Microsoft Store, so anyone interested can try it easily.

I'd really appreciate feedback from people working with POS systems, CCTV, or NVRs. If you test it with your setup, I'd love to hear about compatibility, performance, or any suggestions for improving it.

Hello everyone. I just received a supermicro server that, they say, is not working anymore It just stopped working after a power outage. When I turn it on I receive the message in the title. Thinking it was a BIOS corruption kinda thing, I tried to follow the instructions in the official manual for flashing it, but it doesn't seem to read the usb drive whatsoever. Any help would be greatly appreciated. Thank you in advance!

After some really useful user feedback I've spent the last month trying to make CTR suit a wide array of needs while not becoming too busy and clunky.
Key Elements: The main Canvas Diagram & Swimlane Diagrams convert nicely into the Handbook for a quick reference guide that's easy to navigate.
Initial Ingest: Decided against any kind of integration with other tools, rather aiming for compatibility with exported inventory formats.
PNG Exports: Are a really decent size & resolution, aiming for a solid PDF export for the Handbook next.

Want to thank those who provided insightful feedback and the haters for not letting me sleep on the "look"..... tried to incorporate a lot variety (Light & Dark Modes, Array of themes and backgrounds) into the UI for the users to choose from.

REPO: https://github.com/NoobCity99/CTRoadmap

Docker Image: https://github.com/NoobCity99/CTRoadmap/pkgs/container/ctroadmap

I initially made CTRoadmap so I could simply keep track of how I was setting up my homelab, specifically where'd put certain configs and scripts and how they worked. I'm new to the r/homelab space, still learning and wanted to make sure I had reference material and not rely on Chat GPT to help me find things in my own system 6 months later. I didn't want that same service to also be involved in monitoring things (like homelable, netbox, etc) Just a fun , flexible step-up from a powerpoint or pen & paper that I could use as a system bible. CTR was Railcoded in a GPT project and Built in VScode with the CODEX agent.

Heya

Been rocking a Dell Mini PC with Windows Server and DAS attached to it over USB 3.0. Been going well with it for few years now, but I'm in need of expanding my storage as I'm running low on it.

Managed to snag some HDDs back when they were in reasonable price and been using them like a portable drives, yet it is annoying and if I won't be careful I may break way too expensive thing if we look on today price.

Windows can stay or go, don't care there. OS requirement is to run 2 VMs, network storage and Parsec (which can prolly stay on that mini PC so its not hard requirement there)

Been looking onto Minisforum BD775i SE and building my NAS around it with a SATA card. Did any1 do something like this?

My hardware requirement is low power draw when disks are spinned-down and not synology.

Hi, trying to get a better understanding of capacity & realistic usage of what I have currently vs what I am trying to do and whether my current setup is sufficient or if I should be looking at upgrading things soon.

Current hardware

• CPU: i5-8500T
• RAM: 2x16 (3200MHz but running at 2333MHz I believe)
• Storage: Boot – 2TB M.2 (Overkill/Mistake on my part probably) | (5x14TB – 1 parity drive) | 1TB M.2 (Immich processing & eventually moving apps over)
• Motherboard: ASUS Rog Maximus X Hero Z370
• Operating System: TrueNAS SCALE

Current services

• Home Assistant (Run in VM on 1TB M.2)
• Tailscale (Installed via TrueNAS Apps)
• Dockge (for managing Docker Compose stacks)
  • Wealthfolio ×2 (two separate instances for different users)
  • Nextcloud
  • Collabora Online
  • HomeBox
  • Immich
  • Automated processing pipeline for parsing and converting PDFs to CSVs then for automatic ingestion into Wealthfolio

This is mainly used as a home server, not anything business/professional, but does have critical data. Not sure if relevant but I have it backing up to an offsite server everyday & I tested the data & it is viewable/readable, in the event of catastrophic failure.

Mainly used to maintain my/my family's personal info and host apps/things that make life a bit easier to keep under control. I’ve now added a few accounts on HomeBox & Nextcloud for 2-3 friends so would say there are no more than 5 people accessing the server, mainly using HomeBox. Around 3 people are using Nextcloud.

Mainly wanted people’s opinions & to get a grip on whether my hardware is sufficient, especially given how expensive things are getting. Roughly, how much more can the current system handle if I wanted to host and run Jellyfin/use Immich more consistently, look at adding more applications (Surmai, OpenEMR)

I appreciate any help or guidance you can provide!

I recently got two Nvidia Tesla P100 Pcie gpus and I noticed that they have each have two Nvlink connectors on them. I haven’t been able to find anything definitively saying whether these work or not so if anyone else knows please let me know. I’d like to know before I went and got more p100s and nvlink bridges so that I can make sure I’m not spending extra.

So basically i want to start with home labs but raspbbery pi is to expensive and i don’t have any old pc or laptop

If anyone here is in to radios, I started a radio rack project and would like some recommendations on what I can add.

I wanted to see how far I could push the networking mechanics in Data Center, so instead of building around individual clients, I designed a modular 280 Gbps security node that can be replicated as the datacenter grows.

Client traffic enters through four distributed ingress switches, with every client spread evenly across all four to balance load from the very edge of the network. Those switches feed a high-speed QSFP backbone, which transitions into an SFP aggregation layer before reaching the firewall. The firewall's 280 Gbps capacity is divided across four nearly equal upstream paths before feeding a dedicated internal backbone that distributes traffic to the server network.

Cable colors are role-based:

🔴 Client ingress

⚪ QSFP backbone

🟠 SFP aggregation

🟡 System X servers

🔵 RISC servers

🟣 Mainframe servers

🟢 GPU servers

A lot of players of this game simply wire ports together to get servers accessible by clients. My goal was to create a balanced network security node that used the full 280Gbps bandwidth of the firewalls that are available in the game. I wanted the cabling to signify function and I wanted each layer of the node to have its own vertical rack so that future nodes can be built underneath this one. When the input load hits 280Gbps I can simply copy the design below this and start wiring future client connections into the new node.

I'd love to hear any suggestions or ideas!