Drag race Monster CPU vs GPU in stable diffusion, you won't believe the results! #machinelearning

Description: In this video I effectively benchmark an AMD EPYC 7713 vs an Nvidia 1080ti. The 1080ti was able to generate 1.75s/it vs the EPYC 7713 going as fast as 2.80s/it. Very close race except for the price!

I wonder what the quality and speed would on GPU and CPU inference would be at INT8 quantization? I’m definitely skipping a bunch of steps on my learning journey!

Linkedin: https://www.linkedin.com/in/earl-cameron/

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My PC Specs 2023:
CPU(AMD EPYX 7713) ++++++++ https://amzn.to/3jsTFiZ
GPU(PNY 4090)++++++++++++++ https://amzn.to/3Wvw6og
GPU(PNY A4000)+++++++++++++ https://amzn.to/3PYEL0b
RAM(Nemix 64GB ECC) +++++++ https://amzn.to/3WpnTlA
CASE(Phanteks Enthoo Pro 2)+++ https://amzn.to/3WrqjAn
PSU(EVGA Supernova 1600 G+) + https://amzn.to/3jtjBuV
SSD(Kingston KC3000 x6)++++++ https://amzn.to/3js0v8l
HDD(Seagate 16TB Exos X16) ++ https://amzn.to/3GmUnqW

My Webcam:
Fujifilm X-T200 ++++++++++++++ https://amzn.to/3I8rHn0|
Rokinon 12mm F2.0 NCS ++++++ https://amzn.to/3VvwzWa