BEST SELLERS

In Server & Components

Keep in mind this card has its limitations, I am looking at it from the stand point of this verse a RTX3090 used (about the same price). No way I am spending $1000 on a used card that can die tmw even with Cuda support. So now I get 32GB vs 24GB ram. I am primary running windows and LMstudio and Ollma worked fine after installing all the intel software (like 4 large installs) Vulkan support gave me around 100T/KS for qwen 3.5-35b. Out of the box with standard setup. This running on an Intel i7-11th gen with 64GB DDR4 and PCI 4 x8 interface.. The biggest hit is on how fast I can load the model in memory. The card is very quite with the fan. I suppose other people got loud fans.

-No Smell -No Squeaking Noise -Good Features for the money.

16 GB of ECC VRAM allows for larger LLMs and context windows Needs only 70w of total board power (no external power connector required) Low cost compared to what Nvidia is offering

Absolutely fantastic card all around. I'm both gaming and doing AI workloads with this GPU. I'm also using 2 of them in parallel on vLLM and it works great.

Works seamlessly to plug in old drives and keep moving forward.

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.

Works as expected

much quicker nas than my ds223 have the option to have a warm spare quiet

Front Screen is Great - Metered Easy Setup

- Good packaging from Newegg, just a smallish box with no branding on the outside. - Obviously it performs quite well. Will use the full 600W under load (but you can limit wattage using `nvidia-smi`). Have a good PSU with a 600W connector (not included) and very good airflow setup. - Working in Arch Linux with just `nvidia-open` and `nvidia-utils` packages.

Easy to set-up Easy to be used by any devices Easily support 6 users ( 4 iphones + 2 android + 5 window laptop + 2 macosx + 2 fire tv) backup and streaming)

Works right out of the box - easy to set up with some YouTube tutorial help to get the settings I want. Loving how easy it is to manage, install my docker apps, and configure to what I like. You can keep it as easy or as complicated as you like. I was brand new to the NAS world and am happy with my UGREEN so far.

Easy to setup and configure