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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.

- 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.

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

Enormous inside and no psu shroud to take up much of the bottom of the case. s but room for a lot of case fans, anyway. I'm using 3 140mm fans in the top and 4 120mm fans in the front and one 120mm fan in the rear.

96Gb of vram and energy efficient

Well built case and came well packaged for shipping. Fans included, and lots of space.

Lots of space, well ventilated, light but sturdy.

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.

- 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

Small, sturdy design Nice looking face plate

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

Lots of room in this case. Pre-installed fans

VGA out and 10Gbit NICs were worth the upgrade to the NT edition.