I use the the proprietary ones from Nvidia, they're at 535 on oldstable IIRC but there are a lot newer ones.
I use 3xRTX2000e Ada. It's a rather new, quite power efficient GPU manufactured by PNY.
As inference engine I use exllamav3 with tabbyAPI. I like it very much because it supports 3-way tensor paralellism, making it a lot faster for me than llamacpp.
Thank you for taking the time to respond.
I've used vLLM for hosting a smaller model which could fit in two of GPUs, it was very performant especially for multiple requests at the same time. The major drawback for my setup was that it only supports tensor parallelism for 2, 4, 8, etc. GPUs and data paralellism slowed inference down considerably, at least for my cards. exllamav3 is the only engine I'm aware of which support 3-way TP.
But I'm fully with you in that vLLM seems to be the most recommended and battle-tested solution.
I might take a look at how I can safely upgrade the driver until I can afford a fourth card and switch back to vLLM.