2024-06-04

@MichaelDell Yikes

@Ayaan @TheFP Interesting article

@WholeMarsBlog How quickly some forget

@pearlythingz This is a top priority

@SawyerMerritt Uh oh 😅

@ryan_fosnaugh @DrKnowItAll16 @SawyerMerritt Correct. Also, I can’t overstate the difficulty of making 50k H100s train as a coherent system. No company on Earth has been able to achieve this yet. Once we have that system working, we will order more hardware.

@WholeMarsBlog @rocker_261 @SawyerMerritt Training compute for Tesla is relatively small compared to inference compute, as the latter scales linearly with size of fleet. Perhaps the best way to think about it is in terms of power consumption. When the Tesla fleet reaches 100M vehicles, peak power consumption of AI

@SawyerMerritt Of the roughly $10B in AI-related expenditures I said Tesla would make this year, about half is internal, primarily the Tesla-designed AI inference computer and sensors present in all of our cars, plus Dojo. For building the AI training superclusters, NVidia hardware is about

@cb_doge Yeah

@tim_zaman True

@WallStreetSilv WaPo lost tremendous credibility over the past several years by being a far left propaganda publication

@xDaily Tesla had no place to send the Nvidia chips to turn them on, so they would have just sat in a warehouse. The south extension of Giga Texas is almost complete. This will house 50k H100s for FSD training.

@MikeBenzCyber I don’t think the intent was that diabolical, but it nonetheless had the effect of driving mail-in ballot acceptance

@YayAreaNews Poor guy

@GadSaad Conservation of energy is undefeated