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Reels helped Meta become a pioneer in AI research - Mark Zuckerberg
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The GPU Acquisition Strategy
Mark Zuckerberg discusses the strategic decision to acquire H100 GPUs in 2022, driven by the need to enhance Meta's AI capabilities for Reels. He explains how the evolution of their services required more computational power to train models effectively.
"2022 is I'm assuming when you started acquiring these h100s back then how did you know to get the h100s how did you know we'll need the gpus it was because we were working on reals so you know we got ..."
The GPU Strategy Behind Reels
Mark Zuckerberg discusses the strategic decision to acquire H100 GPUs in 2022 to support the development of Reels. He explains how the evolution of content recommendation from following specific users to suggesting a vast array of content required significant infrastructure upgrades. This shift aimed to compete with TikTok and expand Meta's content offerings dramatically.
"2022 is I'm assuming when you started acquiring these h100s back then how did you know to get the h100s how did you know we'll need the gpus it was because we were working on reals so you know we got ..."
Expanding Content Recommendations
Zuckerberg elaborates on the shift from ranking content from followed users to recommending content from a vast array of sources. This transition significantly increased the potential content pool from thousands to hundreds of millions, necessitating a robust infrastructure to support it.
"more gpus to train the models it was this big evolution for our services where instead of just ranking content from people who you follow we made this push to basically start recommending content from..."
Learning from Past Mistakes
Zuckerberg reflects on the importance of learning from previous challenges in infrastructure and content ranking. He emphasizes the need to anticipate future demands, suggesting that decisions often stem from past errors. This proactive approach is crucial for Meta's ongoing innovation in AI and content delivery.
"hey we have to make sure that we're never in this situation again so let's order enough gpus to do what we need to do on reals and ranking content in feed but let's Also let's double that there's goin..."
Learning from Past Mistakes
In this segment, Zuckerberg reflects on the challenges Meta faced in keeping up with TikTok's rapid growth. He emphasizes the importance of learning from past mistakes to ensure they are better prepared for future demands, particularly in AI and content ranking.
"infrastructure and we started working on doing that and we were constrained on basically the infrastructure that we had to catch up to what Tik Tok was doing as quickly as we would have wanted to so I..."