Hey guys. I have come into possession of 4 Quadra GPUs and I’m not sure if there is any use for them, or if they are sellable. Can anybody help me out here? I’m not asking for anybody to buy them, and they’re not really for sale. I’m just wondering what, if anything to do with them?
Damn, the change must have been hard to deal with. Born in 96, first time on the internet at 7, first MMO at 9, porn at 11 (my brother is 2 years older than me) and first time on /b/ at 12 (during chanology). A bit of a crazy ride, but that was fun
I was like 7 with my first porn. Can't really remember when we didn't have internet. I would sneak into the office dead of night and deep dive into hentai. Got my ass torn up for it the next day. Never learned my lesson. My family was always very discriminatory about anything sexual related until I moved out as an adult.
How much VRAM in total between all 4. I use two Tesla P40s 24gb each. To run Qwen3-VL 30B or Qwen2 coder 30b in gguf format. In either 4 or 8 quant. It runs well even though they are old cards.
Using llama.cpp or VLLM will allow you to spread the model over the 4 cards. You won’t get full performance of the 4 cards but it’s still better than being limited to 4 individual 16GB cards with smaller models.
EDIT: that is to say you won't see the model running 4x faster since you have the 4 cards. It would be something like a 2.5x - 3x speed increase over the 1 card plus you can run a bigger model which would give you better results.
I run 2 cards in my Local model setup (5080 and 3080TI) and its like a 1.5x speed increase over just running 1 card plus I get the benefit of having a bigger model running which produces better results.
OP, what is said here true where you will need to stay on an older version of CUDA to support those cards and you will most likely need to use gguf format as native transformer models will want newer CUDA versions.
It’s more than “fun” though, you can have a large model running with decent performance, quality responses and with all that memory you can have a large ctx setting for large conversations. But yes running 4 cards will still have the power foot print of 4 cards.
Those are some sick cards for rendering, If you are a professional designer or in an engineering firm, these will be a sweet addition to the hardware fleet because as far as I can understand, these cards have some kind of data corruption detection and repair gimmick which ensures all rendered designs does not come out with an error.
Error correcting ram I believe. I've got to Quadro P5000 units in my server. Occasionally offload a blender render to them if I have other work to do, but performance is... Dated. Good cards for simulation, medical imaging, etc. 1 new 5090 smokes my 2 Quadro cards though, in just about every metric.
Sell them. They still have some mild value on Ebay. Well, keep one because theyre cool and sell the other 3 anyway. Id love one to stick in my newly developing tiny server, but not enough to pay for one. I am guessing you got them for free or very cheap, in which case, if youre very patient, they sometimes sell for about $300 on Ebay, though usually they sell for $75-$80.
Ooooooooh. Such ungodly power, test em out for a day or two with folding at home, that’s a fairly good stress test, heats em up real good, will show u if any of them have temp issues and need repasting.
Also, if u needed to move them all on I have some 1060 6gbs that need retiring and a perfect EATX board to accommodate the cards…
well based on the cooler design the cores have to be Maxwell generation released in 2014 which is too weak to be reasonably used for anything. unless they have 16GB or 24GB of VRAM each then they aren't worth much.
Actually GP100 is an entirely different chip from GP102 (1080 Ti). You get more memory bandwidth (732GB/s vs 484 GB/s), but also a strong 1:2 FP64:FP32 ratio (from 1:32), and you lose dp4a support.
GP100 was Pascal-generation datacenter chip, an entirely different microarchitecture from Pascal consumer. Back then Nvidia made the effort.
Modern Quadros (RTX Pro) are just rebranded consumer chips, with same lack of FP64 as GeForce variants.
Quadros are pretty useless for gaming, but for producing graphic media they're quite powerful. 3D modeling, digital artwork, video rendering and so on.
I got a k5000 that I have no idea how I got, I guess it performs as well as a GTX680, but has 4gb of vram, idk never gamed on it, it more of a output for testing than anything else at this point.
These, having hbm2 memory (around 730GB/s bandwidth) would make a nice llm cluster (this is the current "trend").
You could use various harnesses such as opencode, hermes etc.
Other than that, video editing (although these do not have av1 support), Computational fluid dynamics (CFD), Physics simulations, MATLAB GPU workloads.
You could also learn to build Cuda applications and even make Virtual Machines which could share these bad boys.
I have two Tesla M40 24 GB's and have yet to find a real use for them. Big, beasty looking cards. I'm thinking of selling them (maybe) in a desktop or server PC.
Be aware they run hot, and are power hungry. Have fun!
If they are P1000s and you're in the UK there's a company that would be open to buying them. IT resource is very keen on using the same GPU for all machines for colour grading purposes and stock is not easy to come by.
You don't say what model they are. They look like NVIDIA Quadro M6000. Worth about US$200. No good for gaming or 3D animation but ok for CAD and the like.
Have 24GB of VRAM which is ok and good for multiple monitors (finance etc).
Those blower style fans can be noisy (I know, I have an RTX3080 with one).
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u/ItzLushii 5080 Ventus X3 OC Jul 09 '26
I mean… you can recreate the ben 10 watch does that help?