BEST SELLERS

In Server & Components

I like the compact form factor and sine wave output, the status display, and the build quality looks solid.

As of DSM 7.3 you can now use any name brand drive again. I tested with my old 4 TB Seagate Red drives and no issues.

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

I bought them for the 10ft cord, and they are worth it. Plenty of plugs, good USB charging, and surge protection. just what I needed.

the usual bots were lurking but was able to snag

96GB of GDDR7 ECC memory per card, Blackwell architecture, and dedicated hardware for AI and ray tracing. Serious workstation capability for demanding projects.

This GPU has lots of VRAM for an affordable price (24gb) It is very fast (zoom zoom) Affordable Good

Im able to load 30B parameter models locally and run them with speed on a budget. Qwen3 Coder Next 80B Q4 (dual GPUs) runs at 50 tokens per second. Best 32GB modern cards that you can purchase for consumer hardware. You can also get some great 4K gaming on Windows with a single card.

- Stays cool even through rigorous stress testing - Crushes large datasets and point cloud processing - Incredibly efficient, completes all my work I used to do on a rtx 4070 super with no sacrifices or penalties. - Gaming capable, could run Arc Raiders on Epic Settings with no struggles at 60fps

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

Does it's job. Works with my FreeNAS system to gracefully power down when the power goes out. Smaller than some of the older UPS systems I've owned. Very nice LCD display with measurements such as voltage, run time, and power output (see other thoughts). LCD can be activated for a few seconds at a time by pressing a button, or locked on so it stays on all the time.

-Big. - Intelligently Designed - Able to fit the Artic Freezer 2 420mm AIO... Barely as long as you do a push pull config of the AIO in order to provide the clearance. - Simple and Well Designed. No PSU shroud so you have more usable space to build. -Lightweight for the size