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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.

Low power draw (300w max) along with 2 space width makes this an easy card to double up in a chassis for use with larger models.

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

Motherboard powered 16GB GDDR6 Low profile compatible Unbeatable price

-Can fit 2 thicc GPU's AND air cool them -Sleek and clean look -Great internal fan/filter layout -Great bang4buck

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

Everything works, The IPMI web interface is fast and easy.

This is pretty much as good as it gets. Yes, there are teething issues with WRX90 because it's such a new platform, but once you get past those, the board has been rock solid.

Minimum memory for models I wanted to work with, even quantized, is 24gb. $2,000+ just to experiment seemed like a lot in today's economy. Intel offered the B60 Pro for $600! So far, it's been everything I'd hoped. Gemma 4 26b and 31b models run comfortably and it's pretty amazing what capabilities they provide for local AI. I found that, for me, LM Studio was a little easier to use than AI Playground. YMMV Be sure to attach a monitor, even if you plan to use remote or onboard graphics. If no monitor is detected the board may not load the drivers. Turn off ECC memory or you'll be working with 21 instead of 24gb. It's astonishing how much free software is out there for GPUs (like the B60) that have enough VRAM to run that software. It's an incredible value proposition for anyone interested in learning about / experimenting with local AI.

-reasonable cost -two m.2 slots -form factor -IPMI

Professional video card. Works great with games as well Ultra low power and efficient video card. Performance on par with a Nvidia 4060, but in a single slot low profile 50 watt card

QUIET, temps are good, running a unraid server.

- 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

All the features you could ever want. Has sensors for days! HTML5 WebUI for Remote Console to your OS!

Two pcie x16 slots with ryzen comparibokity

I'm not going to write a pros/cons, just the facts in this category. This is a VERY bare-bones 4U case. There are no reward points here for style. There are no removable/hot-swap trays, there is an old commitment to 5.25" bays you can convert with an IcyDock or similar; the tray layout does not provide for any of the newer methods for routing or cable management, and the spacing is such that you are not going to put any deep mount device in here. While there are numerous 3.5" bays, you really will want to use less than 1/2 of them for both heat and performance concerns. The case, however, is one of the cheaper 4U cases, and if you are looking for a baseline for a simple purpose, like a virtualization header, a Windows server, a firewall or similar, this case is certainly a decent choice. I have had no problems using this as a case for my firewall and VPN software layouts, as well as Windows servers in the past, due to pass-through problems of specific USB security keys that did not like VMWare or XCP's pass-through I was forced to keep on their own.