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Stanford Seminar - NVIDIA GPU Computing: A Journey from PC Gaming to Deep Learning 

Stanford Online
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16 сен 2024

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Комментарии : 15   
@bennettwinters7278
@bennettwinters7278 6 лет назад
It's incredible that this stuff is actually happening.
@Bestietvcute
@Bestietvcute 6 лет назад
nice summary presentation, thanks for uploading!
@Interestingworld4567
@Interestingworld4567 7 лет назад
AWESOME SPEECH 🤗🤗🤗🤗
@PamirTea
@PamirTea 6 лет назад
Great talk, thank you for uploading.
@rahaf.azabeen1676
@rahaf.azabeen1676 2 года назад
ك
@ben6
@ben6 3 года назад
57:25 Comparing the E5-2690 (from 2012) to a SMX (released on Mar 27th, 2018). Classic NVIDIA.
@ky8920
@ky8920 2 года назад
v4 is released in 2016
@Sun4Niebieskieoczy
@Sun4Niebieskieoczy 6 лет назад
As if Heaven knew how much humanity needs help to finally liberate itself from oppression, and empowers the amazing Nvidia team with their visionary thinking and products - and they ride in on a White Horse - delivering the tools which open the entrance into... and will continue to assist in that most virtuous of endeavors...
@sczoot6285
@sczoot6285 7 месяцев назад
HUH?
@瑜珊張-x3p
@瑜珊張-x3p 4 месяца назад
請各國前往台灣會議
@TheLeontheking
@TheLeontheking 5 лет назад
6:50
@瑜珊張-x3p
@瑜珊張-x3p 4 месяца назад
和我說話
@TheLeontheking
@TheLeontheking 5 лет назад
such a dumb question at around 50 minutes (how far are we from being able to implement deep-learning using a single gpu). Simple Answer is we are more than able to do so, the question is just how much time you want to have the system running, and the time needed obviously decreases when you use multiple gpus.
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