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This looks like a customized ASIC specializing solely in recommendation systems possibly focused on ads ranking

>We found that GPUs were not always optimal for running Meta’s specific recommendation workloads at the levels of efficiency required at our scale. Our solution to this challenge was to design a family of recommendation-specific Meta Training and Inference Accelerator (MTIA) ASICs.

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What a tragic waste of human effort and potential.

Same thing was said about GPUs when they were just for games

I don't remember that. Games are art and offer at least some benefit to the world. Optimizing Facebook attention algorithms harms society.

You must be Gen Z because the prevailing attitude towards video games of all kinds was mostly negative in the 20th century. They even tried to blame Doom for school shootings.

I was born in 89. I'm talking about GPUs specifically, not just video games.

That, but the exact opposite. Games were the primary motivation for GPUs in desktop computers in the 90s.

I hope they take comfort in the fact that this is open-source.

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