The True Cost of Compute

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  • เผยแพร่เมื่อ 3 พ.ย. 2024

ความคิดเห็น • 19

  • @a16z
    @a16z  ปีที่แล้ว +1

    Topics Covered:
    00:00 - The cost of compute
    02:30 - Is this sustainable?
    03:46 - The cost to train a model
    05:58 - Computation requirements
    09:58 - The relationship between compute, capital, and technology
    13:31 - GPT4 commenting on the technology with help from ElevenLabs

  • @sohamlakhote9822
    @sohamlakhote9822 หลายเดือนก่อน

    This was really good :-)
    Thanks a lot for uploading this series!!

  • @andreygorbunov9504
    @andreygorbunov9504 11 หลายเดือนก่อน +1

    Good 3 episode series👏. Would be also interesting to hear your take on the different Platform services around AI centric workloads

  • @Alex-ym9pu
    @Alex-ym9pu ปีที่แล้ว

    Great topic! Incredible to see the comparation with adoption of a tech and the demand of compute

  • @a16z
    @a16z  ปีที่แล้ว +1

    Don't forget to catch Part 1 and 2 of the mini-series.
    Part 1: th-cam.com/video/-s_Ui5j0Guw/w-d-xo.html
    Part 2: th-cam.com/video/IPre5287P3I/w-d-xo.html

  • @frankdaniel5216
    @frankdaniel5216 5 หลายเดือนก่อน +1

    2:04 probably the first legit “this is not financial advice” claim I’ve ever seen

  • @LloydNebres-m7u
    @LloydNebres-m7u ปีที่แล้ว

    Illuminating! I wonder whether or not Moore's Law applies with respect to compute thrown at frontier models moving forward.

  • @GovGpt
    @GovGpt ปีที่แล้ว

    Very informative!

  • @yusuf-ri8uw
    @yusuf-ri8uw ปีที่แล้ว

    Awesome stuff!

  • @ASMRsauce
    @ASMRsauce ปีที่แล้ว

    Really insightful thoughts on Ai
    Back to School Giveaway

  • @ashwinkandath1439
    @ashwinkandath1439 ปีที่แล้ว

    another banger about the chip ecosystem!

  • @yen-chenchiang6247
    @yen-chenchiang6247 ปีที่แล้ว

    Interesting topic. It makes me reflect on if we really need this huge amount of cputing works…

  • @apollokirsch
    @apollokirsch ปีที่แล้ว

    Further reinforcement that at its core, this is a hardware revolution

  • @lnebres
    @lnebres ปีที่แล้ว

    Hmm. I was actually expecting to hear an actual figure (not just an approximation or estimate), of exactly how much it cost the frontier models to be trained. Still, this episode was basically useful.

  • @ChrisStilesURL
    @ChrisStilesURL ปีที่แล้ว

    No doubt GPU suppliers like NVIDIA are like the suppliers of picks and shovels during the 1849 gold rush. Exciting to see what everyone's building, and to drive through Santa Clara and Sunnyvale and San Jose and see so much silicon still happening in Silicon Valley.

  • @esSKay25
    @esSKay25 ปีที่แล้ว +1

    I like how they “fact checked” the epilogue, yet the graphics (1,000,000,000 chars) doesn’t match up with the audio math (100,000,000,000 chars). 😅

  • @tyc00n
    @tyc00n ปีที่แล้ว

    price of power is a real competitive factor, all the lessons from crypto mining apply to the true cost of compute. Also security as people want to steal $10,000,000 files that are less than 1TB

  • @fintech1378
    @fintech1378 ปีที่แล้ว

    super fantastic content