A few years ago we got rid of a bunch of K80s at work, they were not only obsolete but had gotten glitchy as hell. I suspect this is from the many heat/cool cycles they went through. When they were running flat out the exhaust air felt like a hair dryer.
Do you have any #s on how old they were at decomm time? There's some suspicion that part of the AI bubble is companies playing games with depreciation, eg assuming that H100/H200s will survive for 5 years.
Benchmarking 15 “E-Waste” GPUs with Modern Workloads
31–40 of 68 posts
Re: Benchmarking 15 “E-Waste” GPUs with Modern Workloads
#32Have you tried 27B class models like qwen3.6?
Re: Benchmarking 15 “E-Waste” GPUs with Modern Workloads
#33Great read. I'd love to know more about how power consumption changes as cards get newer too!
Re: Benchmarking 15 “E-Waste” GPUs with Modern Workloads
#34Earlier quoted context omitted.
"Don't post generated text" - https://news.ycombinator.com/newsguidelines.html
The rules for comments are now so lengthy that probably 90% of comments would violate one. It's like how police can pull you over for any reason and justify it by picking a law you've unwittingly violated
Re: Benchmarking 15 “E-Waste” GPUs with Modern Workloads
#35Earlier quoted context omitted.
I'm trying bruh fuck!
For an easier change than HTML or SVG, try running them though pngcrush to make the graph images much smaller. Won't give you the lossless vector quality, but you should be able to keep these image files visually indistinguishable at much lower size.
Re: Benchmarking 15 “E-Waste” GPUs with Modern Workloads
#36Earlier quoted context omitted.
Do you have any #s on how old they were at decomm time? There's some suspicion that part of the AI bubble is companies playing games with depreciation, eg assuming that H100/H200s will survive for 5 years.
They were probably about 8 years old. They were well past reasonable EOL, but they were used for teaching, so performance was not a primary concern, as long as they worked. They had reached the point of not working often enough that we finally scrapped them.
Re: Benchmarking 15 “E-Waste” GPUs with Modern Workloads
#37Earlier quoted context omitted.
"Don't post generated text" - https://news.ycombinator.com/newsguidelines.html
The rules for comments are now so lengthy that probably 90% of comments would violate one. It's like how police can pull you over for any reason and justify it by picking a law you've unwittingly violated
Re: Benchmarking 15 “E-Waste” GPUs with Modern Workloads
#38Re: Benchmarking 15 “E-Waste” GPUs with Modern Workloads
#39No 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/…
Man, I wish I lived where you guys lived.
Re: Benchmarking 15 “E-Waste” GPUs with Modern Workloads
#40No 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.