管理层称NVDA不久可能创造数千亿美元收入,到2030年或许达到1000亿美元;说话者相信这会发生,但执行力是关键,且变数很多。尽管客户在分散供应商,他仍预计NVDA将在未来多年保持AI芯片领域的领先地位。
逐段跳播
有很多公司说:“我们2027年的产能已经卖光了。”Nvidia 说:“我们本可以把2027年的全部电力供应都卖掉,但我们决定不这么做,因为我们知道可以溢价定价。”
There are many companies that say, "We have sold out of our capacity for 2027." Nvidia said: "We could have sold our entire 2027 power supply, but we decided not to do so because we know we can price it at a premium."
但我想把 Nvidia 重新放回名单上,因为我们看到的是一家——按照管理层的说法,而不是我的个人观点——可能在不久的将来创造数千亿美元营收的公司。
But I want to bring Nvidia back onto the list because we are looking at a company that , according to management and not my personal opinion, could generate hundreds of billions of dollars in revenue in the near future.
这不是我说的,虽然我相信这会发生,但管理层在最近的一次采访中是这样说的。而且你看,如果我们要在2030年前实现也许1000亿美元的营收,我认为那是一个非常大的跨越。当然,执行是关键,从现在到2030年之间可能发生很多事情,但这对任何其他公司来说也是一样的。
I am not the one saying this, although I believe it will happen, but the management team stated it in a recent interview. And look, if we're going to achieve revenues of perhaps $100 billion by 2030 , I think that's a very big leap .
Of course, execution is key here, and a lot of things can happen between now and 2030, but that applies to any other company.
他们获得了 Nvidia 20亿美元的战略采购承诺,用于确保 Blackwell 芯片发布所需的组件。
They have a $2 billion strategic purchase commitment from Nvidia to secure components for the launch of Blackwell chips.
现在,我的第二选择是有些人所说的“Nvidia 的对立面”,也就是 Broadcom。那么,为什么它被称为“Nvidia 的对立面”?因为所有转向 Broadcom 的大客户当然都是 Nvidia 的大客户,但他们希望把供应来源从 Nvidia 分散开来,不过度依赖它的芯片,所以他们转向了 Broadcom。
Now, my second choice is what some call the "antithesis of Nvidia," namely Broadcom. Now, why is it called "the antithesis of Nvidia"? Because all the big customers who are turning to Broadcom are, of course, huge Nvidia customers , but they want to diversify their sources away from Nvidia and not rely too heavily on its chips, so they turned to Broadcom.
这是否意味着 Nvidia 将不再继续增长?不,我仍然相信 Nvidia 在未来很多年里仍将是这个领域的头号玩家。
Does this mean that Nvidia will not continue to grow? No, I still believe that Nvidia will remain the top player in this field for many years to come,
如你所知,当 Nvidia 设计比如图形处理器时,扩大现代 AI 集群的物理挑战在于数据流量。如果数据无法在数千个图形处理器之间足够快地传输,整个系统就会停摆。
As you know, when Nvidia designs, for example, graphics processing units, the physical challenge of scaling up modern AI clusters is data traffic. If the data cannot move between thousands of graphics processing units quickly enough, the entire system shuts down.
观察点
这个频道对 $NVDA 的历次判断
The Motley Fool 在这只股票上共 3 条判断,这里只列相邻的几条。