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Cake day: June 12th, 2023

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  • Well that and CUDA still means a load of professionals in various fields are stuck using Nvidia whether they like it or not. This means data centers are incentivised to go with Nvidia if they want those customers, which ultimately means if someone gonna work on code/tools that run in those data centers, you want the same architecture on your local machine for development and testing.

    It’s getting better, but the gap is still real. Hopefully the guys that are working on SCALE can actually get it working on the CDNA GPUs one day, since data centers are where a lot of the CUDA is running or perhaps the UDNA stuff AMD just announced will enable this.

    The fact this is all hinging on the third party that develops SCALE, should highlight that AMD still doesn’t seem to be playing the same game as Nvidia, which is why we’re still in this position.











  • 9point6@lemmy.worldtoTechnology@lemmy.world*Permanently Deleted*
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    1 month ago

    Agree on the application side, but when it comes to the test suite, I’m definitely gonna consider letting an AI get that file started and then I’ll run through, make sure the assertions are all what I would expect and refactor anything that needs it.

    I’ve written countless tests in my career and I’m still gonna write countless more, but I’m glad I can at least spend less time on laborious repetition now and more time on the part of the job I actually enjoy which is actually solving problems.