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According to Next Platform, Meta has roughly 600,000 GPUs deployed including previous generations, such as Ampere. This could include some from AMD, although AMD is more likely to ramp in 2025 and beyond. Right now, Nvidia has a $100 billion run rate on its data center compared to AMD’s $4 billion, therefore, any portion of GPUs from AMD is nominal as it stands for 2024.
If we look closer at semantics, Huang used the word “millions” and not the singular word “million,” and “data centers” rather than the singular “data center.” Therefore, my firm is making the assumption that companies like Meta will grow their data center GPUs by a minimum of 233% from 600K to 2M by 2030.
Broadcom shares a similar view, noting that management expects million-GPU clusters by 2027, compared to clusters with tens of thousands of GPUs today. This is even more bullish than Jensen Huang’s comments. Coming back to Meta, even with 600,000 H100 equivalents, it’s building clusters of 24,000 GPUs. In order to see singular clusters scale to the hundreds of thousands and millions, as Broadcom is predicting, we would need to see GPU shipments far in excess of those levels. This alone could get us to $10 trillion market cap based off Big Tech’s data centers, and we have not factored in the enterprise. The enterprise includes companies like the Fortune 500 or Global 2000 that build on-premise AI systems.
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(続き) According …
2024/06/15 05:30
(続き) According to Next Platform, Meta has roughly 600,000 GPUs deployed including previous generations, such as Ampere. This could include some from AMD, although AMD is more likely to ramp in 2025 and beyond. Right now, Nvidia has a $100 billion run rate on its data center compared to AMD’s $4 billion, therefore, any portion of GPUs from AMD is nominal as it stands for 2024. If we look closer at semantics, Huang used the word “millions” and not the singular word “million,” and “data centers” rather than the singular “data center.” Therefore, my firm is making the assumption that companies like Meta will grow their data center GPUs by a minimum of 233% from 600K to 2M by 2030. Broadcom shares a similar view, noting that management expects million-GPU clusters by 2027, compared to clusters with tens of thousands of GPUs today. This is even more bullish than Jensen Huang’s comments. Coming back to Meta, even with 600,000 H100 equivalents, it’s building clusters of 24,000 GPUs. In order to see singular clusters scale to the hundreds of thousands and millions, as Broadcom is predicting, we would need to see GPU shipments far in excess of those levels. This alone could get us to $10 trillion market cap based off Big Tech’s data centers, and we have not factored in the enterprise. The enterprise includes companies like the Fortune 500 or Global 2000 that build on-premise AI systems. (続く)