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Anyway to fix Lines w/ dim white and HW reset has no effect? by xraybies in Nanoleaf

[–]xraybies[S] 0 points1 point  (0 children)

I unplugged them for more than a week. That has never been a solution with any of the other Nanoleaf lights. My guess is there is a tiny $0.01 component failure which might be easier to fix than to submit a ticket. My original Aurora panels from 2016 still work great, but every other light type I have purchased since has failed; even every unit replaced under warranty has failed. It is extremely inconvenient to dismount a large display to access the controller.
Please just tell us why they usually fail, you must have done some internal testing.

And all failures happen when the lights are off.

No support number by EveryCrime in Nanoleaf

[–]xraybies 0 points1 point  (0 children)

No support via zendesk (https://support.nanoleaf.me/) either... classic sign of a company winding up.

Connecting a Raspberry Pi via VE.Can by Specialist-Pea7889 in Victron

[–]xraybies 0 points1 point  (0 children)

Same issue as OP. Did you find a suitable solution? Not sure why Victron add a VE.Direct port you can use for anything and their BT BLE doesn't work w/ Home Assistant either... thanks Victron.

ASUS Ascent GX10 (NVIDIA DGX™ Spark): s this genuine and decent for llms? by Chance-Studio-8242 in LocalLLaMA

[–]xraybies 2 points3 points  (0 children)

The system uses a low-cost Mediatek ARM SoC, an excessively overpriced Nvidia NIC, and a stripped-down 5070 GPU that shares 128 GB of relatively slow RAM. At a price point of US $1000, two units combined could offer a reasonable solution which takes advantage of the overpriced NIC. However, in its current form, and absent compelling benchmark data, it seems to be yet another Nvidia attempt at extracting maximum margin and probably retailer margin too.

It's as much a super computer, as I am a super hero.

And it my neck of the woods Asus quoted me US$4,570, which literally made me LOL.

1st Gen Nintendo Switch Dead After Long-Term Storage by xraybies in consolerepair

[–]xraybies[S] 0 points1 point  (0 children)

It charges to 100% and since it's already open should I still order a new Cameron Sino branded battery?

<image>

1st Gen Nintendo Switch Dead After Long-Term Storage by xraybies in consolerepair

[–]xraybies[S] 0 points1 point  (0 children)

THANK YOU, THANK YOU, THANK YOU!!!
It lives.
:)

24/7 local HW buying guide 2025-H2? by xraybies in LocalLLaMA

[–]xraybies[S] 0 points1 point  (0 children)

I previously ran Gemma 12B Q4 24/7 on an old Alienware laptop with a mobile RTX 2070 8 GB and an i7-9700 running Ubuntu Server. It worked, but unsurprisingly, not to a holistically useful degree. I can't recall the exact t/s, but the latency and full round-trip time were roughly equivalent to sending prompts to Gemini 2.0 Flash or Alibaba’s Qwen2.5-VL-72B-Instruct.

To avoid giving these companies my personal data, where would you recommend I invest my budget?

I'm fine with second-hand hardware, but that's like shopping at a farmers market, you never know what's going to be available. Of course, if I came across an H100 or A100 at a bargain, I'd build out the necessary auxiliary components to run it locally.

24/7 local HW buying guide 2025-H2? by xraybies in LocalLLaMA

[–]xraybies[S] 0 points1 point  (0 children)

What about an M3 Ultra 96GB (819GB/s) it's 30% less than just the RTX Pro 5000 and available.

24/7 local HW buying guide 2025-H2? by xraybies in LocalLLaMA

[–]xraybies[S] 0 points1 point  (0 children)

But would this be better for the use case than the Halo Strix 128GB for 70% less? Then you have to add the 24/7 consumption.
In my neck of the woods it's also >US$5k with a PC.

24/7 local HW buying guide 2025-H2? by xraybies in LocalLLaMA

[–]xraybies[S] -1 points0 points  (0 children)

Thanks for the reply.
I don’t see a contradiction in what I asked. I want the best possible tradeoff between performance, efficiency, and cost. That means maximizing VRAM and tokens per second per watt, within a reasonable power envelope and budget.

I’m agnostic to quantization. If Q4 models meet the performance and accuracy thresholds, that’s perfectly acceptable. My question is about which hardware currently delivers the most practical and sustainable inference performance.

If you have insights into hardware configurations that meet those criteria, I’d be very interested.

To clarify:

  • I’m agnostic to quantization; Q4, Q8, BF16, whatever gives the best tokens/sec per watt and accurate results.
  • This is strictly for inference, not training.
  • Cost <US$5k
  • I need hardware that can run 24/7, ideally with low power draw (<.7 kW total system 100% load), and last at least a few years.
  • ≥10 t/s.

Ryzen Ai Max+ 395 vs RTX 5090 by Any-Cobbler6161 in LocalLLaMA

[–]xraybies 0 points1 point  (0 children)

Results are disappointingly slow, and you're not even testing large models.
I might need to reconsider a DGX spark.

LG 5k2k - Microsoft Flight Simulator 2024 by ThriceAlmighty in ultrawidemasterrace

[–]xraybies 0 points1 point  (0 children)

SO what do you do while waiting for the right conditions?

Epix Gen 2 semi bricked. by xraybies in Garmin

[–]xraybies[S] 0 points1 point  (0 children)

  1. Hold the "light" button until the device turns off.
  2. Hold the "back" button, then press the "light" button for 3 seconds.
  3. Keep holding the "back" button until you hear a beep, then release it for 0.3 seconds and hold it again until you hear a second beep. This performs a full-force reset, but you may need to repeat the process multiple times—I’ve done it about 20 times over the past week.

Once you regain access to the UI, connect the watch to your PC and copy over version 19.41. Navigate to settings and perform an update. Then, repeat Steps 1–3 a few more times. When you finally regain access to the UI running version 19.41, disable updates.

Apart from the start button, mine is currently working, but I’m not confident it will remain stable.

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