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spend time learning about pytorch and CUDA to speed up generation times #ai
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getting into some CUDA hell #spectropic
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try save money by reducing steps of upscaler from 18 to 9 and image gen from 40 to 30 without noticeable differences so then we save 1 minute of GPU time per image gen or $0.07 per photo or tens of thousands $ per month #photoai
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speed up upscaler by 4x and thus image generation from 2.5mins to 40 seconds #photoai
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work on forcing cuda with g5 GPU #ai
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speed up [ Auto detect prompt ] by 3-5x by moving it to diff GPU #photoai
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see GPU bill drop to record to lowest in 1.5 years due to optimizations #life
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research cpu gpu performance bottlenecks on xen passthru #optimizing
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improve overall profit margins further from 67% to 81% to 85% to 87% and now 90% by cutting $519,108 in costs per year, last part by switching to cheaper GPUs with about 80% same perforrmance #life
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start building dongle for new GPU API so we can go from $10 to $1 per render and increase margins from 75% to 97.5% and try more new features #avatarai
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#contracting Refactor pricing script for performance. Go from runtime of ~16h to 15.1 minutes
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keep studying gpus and cuda
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ask @dannypostmaa to help me put my upscaler on a faster GPU to speed up image gen times #photoai
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Improve generating #lyricallabs
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Ordered two Nvidia GPUs to implement some ✨ magic into #2markdown.
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debug with the new GPU API for hours #avatarai
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see CUDA run unmodified on AMD GPUs as predicted #life
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Improved utilization of the #screenshotone GPU server by using Vulkan API with NVIDIA GPUs. It has improved rendering performance by 1000% in some cases.
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Simplify code and reduce build time by 2 minutes #composeexamples
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achieve nice speedup #consulting
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