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In Workstation Graphics Cards

The low price and decent specs make this a solid card for getting into ML and transformer models, but the fact that it is two GPUs with 12gb of vram each limits things a bit from a coding perspective. Great for running things in batch, but very difficult to bridge with good performance.

Just works with any contemporary Linux kernel; proprietary drivers and utilities available as well 4x MiniDisplayPort supporting up to four 4K displays

Didn't require a high wattage Power Supply Unit.

Love this gpu, as its powerful but fits nicely in only one slot. The darnest thong was installing the drivers on the computer; theres a lot of bad info out there and overcomplicated instructions. Steps: 1) delete prior nvidia drivers : $sudo dnf delete *nvidia* 2) download installer from nvidia website 3) assign correct chown priliviledges 4) do the $ ./[installer.run 5) reboot, and you are good to go.

Running Four 4k monitors. Attached is pic.

This is the kingpin board of my AI system now. Finally, freedom to explore wider options. It's a beautifully understated board, no flashing LEDs or other silly 'extras'. It's solid, well built, perfect for the AI workloads I plan to throw at it. The blower fan vents out the back rather than into the case, which is very nice for system cooling. Only needs 2 regular 8-pin PCIE power lines from PSU. It was packaged with security tape and required a signature, just what I would expect for an expensive unit like this. Overall, very happy

Delivered promptly

I haven't opened yet