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Benchmarking 15 “E-Waste” GPUs with Modern Workloads

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Re: Benchmarking 15 “E-Waste” GPUs with Modern Workloads

#51
post #42

I’m obviously not the intended audience for this, and I understand this hardware is not useful for it, but I can’t help but feel an extra twinge of disappointment that there’s no mention of PC gaming anywhere in a post about GPUs in the comments here on HN. It says a lot.

Maybe you'd be interesting in r/gaming or something similar. Around these parts, it's all about taking something and using for something it was never intended to be used. Using a GPU to run a game sounds exactly the opposite and a very lame use of that GPU.

Re: Benchmarking 15 “E-Waste” GPUs with Modern Workloads

#54
post #42

I’m obviously not the intended audience for this, and I understand this hardware is not useful for it, but I can’t help but feel an extra twinge of disappointment that there’s no mention of PC gaming anywhere in a post about GPUs in the comments here on HN. It says a lot.

Maybe you'd be interesting in r/gaming or something similar. Around these parts, it's all about taking something and using for something it was never intended to be used. Using a GPU to run a game sounds exactly the opposite and a very lame use of that GPU.

> Around these parts, it's all about taking something and using for something it was never intended to be used

Is this satire? I literally was hoping the article would be about how decommissioned _data center_ GPUs were repurposed for home PC gaming, the exact thing hacker news is ostensibly supposed to be about? It opens making a point about how the only cheap GPUs with lots of ram are e.g. K80s, which are hardly meant for gaming.

Re: Benchmarking 15 “E-Waste” GPUs with Modern Workloads

#55

No mention of the venerable Tesla P4. 75W peak, 8GB VRAM, about $80 (£60). I have 6x P4s, a Xeon E5 2696v3 (36 threads, 3.8ghz peak but all core turbo unlocked, so 6 cores at 3.8Ghz - about 8 cores at 3.5ghz, or all cores at 3.1ghz), 48GB DDR4, all fit into a micro atx case running on a 650W MSI psu. This gives me a virtual 48GB GPU (llama.cpp ftw) to backup that 48GB of RAM. I typically see scores of at least 7-12t/…

> about $80 (£60) Man, I wish I lived where you guys lived.

Yeah, that number doesn't align with the eBay listings I'm seeing. Perhaps the mere publication of this article has caused them all to sell out.

Re: Benchmarking 15 “E-Waste” GPUs with Modern Workloads

#56
post #54

Earlier quoted context omitted.

Maybe you'd be interesting in r/gaming or something similar. Around these parts, it's all about taking something and using for something it was never intended to be used. Using a GPU to run a game sounds exactly the opposite and a very lame use of that GPU.

> Around these parts, it's all about taking something and using for something it was never intended to be used Is this satire? I literally was hoping the article would be about how decommissioned _data center_ GPUs were repurposed for home PC gaming, the exact thing hacker news is ostensibly supposed to be about? It opens making a point about how the only cheap GPUs with lots of ram are e.g. K80s, which are hardly me…

Wait a few years, and we're all gaming on decomissioned data center GPUs ;-)

Re: Benchmarking 15 “E-Waste” GPUs with Modern Workloads

#57
post #56
post #54

Earlier quoted context omitted.

> Around these parts, it's all about taking something and using for something it was never intended to be used Is this satire? I literally was hoping the article would be about how decommissioned _data center_ GPUs were repurposed for home PC gaming, the exact thing hacker news is ostensibly supposed to be about? It opens making a point about how the only cheap GPUs with lots of ram are e.g. K80s, which are hardly me…

Wait a few years, and we're all gaming on decomissioned data center GPUs ;-)

Old datacenter GPUs could game, but new ones can only do OpenCL/CUDA/ROCm etc. and have no display out. Im using an MI50 right now and I would wish newer datacenter cards could also be used for everything like them.

Re: Benchmarking 15 “E-Waste” GPUs with Modern Workloads

#58

Earlier quoted context omitted.

That's great. Personally, I'd interested in Qwen3.6-27B and deepseek V4 flash (or pro), with contexts above 60k. They seem to be popular and have good coding performance. I'd appreciate numbers on a single or two GPUs where a quantized version fits reasonably into the VRAM (Qwen in 16 or 24GB). 4 older GPUs approach a used 3090 in price, and the 3090 has better support for speedups like MTP. So cheaper but slower loo…

No problem. Varying context size is a common request I've been getting as well. Personally I'm looking forward to seeing how much we can cram into the ancient K80's 24GB of VRAM :0

Thank you, looking forward to it.

I just saw this simple patch to enable MTP (potentially 2x performance) on older GPUs (Kepler etc), so maybe it will work for you

https://github.com/ggml-org/llama.cpp/pull/25680

Also, for Qwen, the 4 bit _XL quantization seems to have a good balance of performance to size.

Re: Benchmarking 15 “E-Waste” GPUs with Modern Workloads

#59
post #46

No mention of the venerable Tesla P4. 75W peak, 8GB VRAM, about $80 (£60). I have 6x P4s, a Xeon E5 2696v3 (36 threads, 3.8ghz peak but all core turbo unlocked, so 6 cores at 3.8Ghz - about 8 cores at 3.5ghz, or all cores at 3.1ghz), 48GB DDR4, all fit into a micro atx case running on a 650W MSI psu. This gives me a virtual 48GB GPU (llama.cpp ftw) to backup that 48GB of RAM. I typically see scores of at least 7-12t/…

That’s cool but 7 - 12 tps is frustrating for anything interactive.

It's minimal kind of speed but for the price I feel it's quite good. Smaller models fly as you'd expect, but the fact it can load these mid range models into something that is dirt cheap is generally a win imho.

Re: Benchmarking 15 “E-Waste” GPUs with Modern Workloads

#60

Earlier quoted context omitted.

> about $80 (£60) Man, I wish I lived where you guys lived.

Same, and hope I can afford that w/$ $/t, 650w is wild to run here24/7 , would cost me 32% of my salary

It typically runs 120W idling, and 450W peak. Not great power efficiency wise, but I have a Cron midnight shutdown and and S5 bios event powering it up on a morning (I could use wake on Lan but didn't see the point).
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