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Works great with my desktop whether I'm idling (~230w) or gaming (~450w). High sensitivity setting is quite sensitive (gets set off sometimes without me noticing anything odd with the room lights). Efficient, fairly compact, very well built.

ease of use, compatibility... I think it was a fair price but I do feel like, for what these things do, they're all pretty overpriced... but that's just NAS in general.

- Easy to setup - Plenty of Support - Works on Ubuntu/Win11 easily Ollama/LM Studio - Gemma 4:26b - Flux 2

I was an early adopter and grabbed a b70 on day 1, it was horrible. It barely worked, pcie 5.0 would not negotiate, drivers timed out, power would drop out, performance was barely above b580 in games, the only thing that was fast was some edge case pytorch training. Even the vllm performance was not great and very limited models supported. After a few months, now in the gamer drivers in windows we get fan control and overclocking, gaming performance really is about on target with a rx 6800 xt or 9060 xt, DCS world runs great, COD Warzone with FG on 1080p XESS Native = 250+ fps. I'm sure not all issues are fixed especially on the model side with llamacpp and vllm but this is now good enough and well beyond day 1. Sure my 7900 xtx smokes it in all gaming aspects but this gpu really is faster than a 4090 in some pytorch training scenarios and 35% faster than a 5080 in bert tokenization. One of the biggest issues for daily life was the fan control on the day 1 intel version of the b70 I had. The gpu was idling 60-70c. The asrock version has the same vapor chamber as the radeon ai pro r9700 which is definitely a better GPU for AI/Training/Inference and about twice as fast gaming. Now with fan control the gpu idles at 28-30c in windows and gaming hits 58-60c with a relatively inaudible (with headphones) fan speed. 270k tuned at 185w tpp pro b70 games and workloads less than 200w Doesnt heat up the room

32GB VRAM ITs not a cutdown 9070 XT, its 98% the same speed in gaming and obviously much greater for large memory applications like pytorch/generative ai. Still boosts right up to 3ghz, can be undervolted, no stupid zero rpm fan idle Fan defaults to a silent 1000rpm idle and unlike most blower gpus it really doesnt need to ramp up path 50% pwm (2500rpm) to cool a sustained 300w. Games exactly like a 9070 xt.

* 32GB of memory - best option * OpenVINO is a pretty good tool, windows users up-and-running in minutes * Decent speed - think 5060 but with 32GB of ram.. * For AI workloads, great budget option! * openvino.. sentence embeddings I have between the two are nearly identical * Lower power than other brands * EXCELLENT in linux 7 / ubuntu 26.04 - 0 setup needed. Just worked OOTB. 0 issues.

Works as advertised, latest version of software allows for other drives to be used instead of Synology drives, Ironwolf works great.

This thing is truly amazing. Can run models up to 200 billion parameters. (Most of mine are between 70-120b, but my 24b "devstral" model is very useful for simple coding.) For a "personal AI" it's perfect. I use it to assist with sensitive client matters that I do not want to "share" with public AI services. Yes, it is brittle, but it is not hard to perform factory-restore using Nvidia's image - they have clear instructions posted and AI can help you if you need it. Be sure to use Nvidia's tool to create the boot thumb-drive. The unique hardware and driver situation makes this computer incompatible with other distros or OSes.

Synology NAS arrived early and was easy to set up. Operating without faults!!

Has enough power to protect all my devices.

*Incredibly easy setup - it walks you through the basics of connecting *Lots of apps allowing you to do nearly anything with your server

So easy to setup physically and soft. Enought apps for my needs (Streaming movies) With a WD red in it, was able to stream over Wi-Fi and copyng large files at the same time on it. Silent Robust construction No compatibility limitations compare to... tried to give Ugreen a try and I was really impressed.