00:00GV300,第二次,是很快的,
00:04是很快的,
00:05Vera Rubin,第三次,
00:07是很快的,
00:09所以我們現在是快速的,
00:13我希望大家多謝你們的同意,
00:16我一直看待到今天,
00:19你可看,
00:21台灣的看待了,
00:24是正確嗎?
00:26是正確的,
00:28就是他们要看所有的项目
00:31所有的项目
00:33CeeCee
00:34看一看
00:35CeeCee
00:35看一看
00:36CeeCee
00:36看一看
00:37我还扯了好像一个年轻人
00:41看一看
00:43我感谢大家
00:44大家新年快乐
00:47这年年
00:49这年年
00:50是很难过
00:52因为我们剧开製的製作
00:54有助纹
00:55now hopper is so easy compared to grace blackwell the semiconductor system of
01:03hopper was state-of-the-art but grace blackwell pushed to the limits of the
01:08state-of-the-art and not only that hopper system quite frankly was easy
01:13grace blackwell system was incredibly hard and so this last year this last
01:20year we pushed the limits of everything that we did and our supply chain
01:25partners all of you did an incredible job for us in the industry in the
01:31industry several things happened this year and it's very important that we all
01:37understand what happened the first thing that happened of course is that AI became
01:41useful the language models became very useful it's useful to us but it's also
01:48useful to the industry the first thing that's happened is it became so useful
01:53that now tokens are profitable last year pro tokens were not so smart when AI is
02:02not so smart it's not very profitable now AI smart it is profitable
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