WEBVTT - Instant Reaction: Nvidia Delivers Solid Earnings

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news fourth.

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<v Speaker 2>Quarter revenue has beat estimates. Fourth quarter data center revenue

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<v Speaker 2>coming in at thirty five point six billion dollars thirty

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<v Speaker 2>four point oh nine billion dollars. Fourth quarter revenue that

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<v Speaker 2>top line thirty nine point three billion dollars, exceeding estimates

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<v Speaker 2>of thirty eight point twenty five billion dollars. Now coming

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<v Speaker 2>to that revenue estimate for the first quarter. In Video

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<v Speaker 2>C's first quarter revenue plus or minus two percent, uh,

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<v Speaker 2>the estimate was for forty two point twenty six billion dollars.

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<v Speaker 2>Fourth quarter data center revenue coming in at thirty five

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<v Speaker 2>point six percent, the company saying that it ramped up

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<v Speaker 2>massive scale production of Blackwell AI. In the after hour

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<v Speaker 2>shares hire right now by about three point four percent.

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<v Speaker 3>Yeah, actually in Video saying demand for Blackwell is amazing,

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<v Speaker 3>So that's what we talked about in terms of that transition.

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<v Speaker 3>But again the key metrics, as Tim said, stock is

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<v Speaker 3>up almost four percent here in the aftermarket. The first

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<v Speaker 3>quarter revenue, so looking ahead outlook forty three billion dollars

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<v Speaker 3>plus or minus two percent. The estimate was for forty

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<v Speaker 3>two point three billion, and again fourth quarter data center

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<v Speaker 3>so looking at the quarter that they just wrapped up

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<v Speaker 3>data center revenue. That's the bulk of their business, that's

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<v Speaker 3>those hyperscalers and more. Thirty five point six billion. That

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<v Speaker 3>is a beat. Thirty four point zero nine billion was

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<v Speaker 3>what the street was expecting first quarter, justin gross margin

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<v Speaker 3>again looking forward seventy point five percent to seventy one

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<v Speaker 3>point five percent. Street was looking for a little bit more.

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<v Speaker 3>This is a measure of profitability, and the estimate on

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<v Speaker 3>the street was seventy two point one percent. Again, the

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<v Speaker 3>stock now not up as much, In fact, it's down

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<v Speaker 3>just a hair.

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<v Speaker 2>Yeah, shares climbed as much as four percent after this

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<v Speaker 2>first quarter revenue forecast top estimates. We're getting some more

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<v Speaker 2>commentary too, in Vidia saying that Blackwell is achieving billions

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<v Speaker 2>of dollars in sales in the first quarter. The company

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<v Speaker 2>also saying that it's successfully ramped up Blackwell massive production.

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<v Speaker 2>In Vidia also coming out and saying, as Carol mentioned,

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<v Speaker 2>demand for Blackwell is amazing. We're continuing to get more

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<v Speaker 2>numbers here too. Fourth quarter compute revenue coming in above

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<v Speaker 2>estimates at thirty two point five six billion dollars. Fourth

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<v Speaker 2>quarter networking revenue coming in just shy of estimates a

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<v Speaker 2>three point oh two billion dollars.

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<v Speaker 3>Ye, now the stock is down about one percent here,

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<v Speaker 3>it's bouncing around a lot, not surprising a lot of

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<v Speaker 3>investors in this name. So you're going to see a

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<v Speaker 3>lot of movement as we get tick by tick, headline

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<v Speaker 3>by headline. But again, the key ones right now, it

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<v Speaker 3>has to do with the fourth quarter data center revenue.

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<v Speaker 3>Excuse me, thirty five point six billion. Again, that's above

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<v Speaker 3>what the Street was expecting. Street was looking for thirty

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<v Speaker 3>four point zero nine billion. And again key is the

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<v Speaker 3>revenue outlook forty three point zero billion plus or minus

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<v Speaker 3>two percent. Street was at forty two point three billion.

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<v Speaker 4>And again we.

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<v Speaker 3>Got some context context, if you will, in terms of

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<v Speaker 3>demand for Blackwell being amazing, successfully ramping up the Blackwell

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<v Speaker 3>massive production, Blackwell achieving billions of dollars in sales in

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<v Speaker 3>the first quarter and ramping up the massive scale production

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<v Speaker 3>of Blackwell AI.

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<v Speaker 2>If the company else is saying it to lilivered eleven

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<v Speaker 2>billion dollars of Blackwell architecture revenue in the fourth quarter.

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<v Speaker 3>Joining us right now, Red Brown is here in our

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<v Speaker 3>New York studio, Bloomberg News Earnings reporter Caroline Hyde, co

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<v Speaker 3>host of Bloomberg Technology, also here in studio. You know, Red,

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<v Speaker 3>I want to bring you into this conversation. You keep

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<v Speaker 3>a watch on earnings, just you know, your initial thoughts

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<v Speaker 3>and what we're seeing in the trade because the stock

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<v Speaker 3>is bouncing around a lot.

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<v Speaker 5>Yeah, I mean I do feel like we got to

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<v Speaker 5>like kind of take a cyber relief here because they

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<v Speaker 5>did check off all of the boxes kind of what

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<v Speaker 5>Kun John answer the question marks Kun John has kind

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<v Speaker 5>of touched on there. The outlook is solid, the fourth

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<v Speaker 5>quarter was solid, and there seems to be real kind

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<v Speaker 5>of optimism around the progress with Blackwell. So yeah, I

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<v Speaker 5>think overall this kind of was in line with what

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<v Speaker 5>analysts were expecting, and the markets maybe been a little

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<v Speaker 5>bit down going into this court into this report, but yeah,

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<v Speaker 5>kind of a cyber relief I think for everybody.

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<v Speaker 2>The company did give an up eat forecast. It is

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<v Speaker 2>a sign that the AI build out is strong. Carolin Heid,

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<v Speaker 2>I want to bring you in, co host of Bloomberg

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<v Speaker 2>Technology on Bloomberg TV Weekday at eleven am Wall Street time.

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<v Speaker 2>I do want to ask about is there is the

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<v Speaker 2>sigh of relief sort of coming too early? Did we

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<v Speaker 2>get any answers about the impact of deep seek here.

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<v Speaker 4>Well, I think there's flies in the ointment.

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<v Speaker 1>I don't know how much you've talked about them, but I

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<v Speaker 1>think the gross margin is clearly a sign that we're

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<v Speaker 1>having perhaps a slight air pocket that many had talked

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<v Speaker 1>about is where you flip from Hopper to Blackwell. And indeed,

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<v Speaker 1>how much expense is spent on making sure that Blackwell

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<v Speaker 1>is easy to use and get up and running as

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<v Speaker 1>quickly as possible.

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<v Speaker 4>That could be an issue. And you have also got.

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<v Speaker 1>This potential guide of slightly weaker on the revenue for

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<v Speaker 1>the fiscal first quarter plus or minus forty three billion.

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<v Speaker 1>If they come into the low end, that does indeed

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<v Speaker 1>just slightly lose out. But I think we are trying

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<v Speaker 1>to hear ultimately whether that insane demand is now an

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<v Speaker 1>amazing amount of demand and does that basically put off

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<v Speaker 1>any concerns that we had about whether or not more

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<v Speaker 1>can be done with less in the future. And I

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<v Speaker 1>think we'll hear on the call, particularly from Jensen, as

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<v Speaker 1>to ultimately whether inferenced demand is really there for his

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<v Speaker 1>very expensive chick tyrol.

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<v Speaker 2>It is like reading a statement from the Federal Reserve

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<v Speaker 2>insane versus amazing.

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<v Speaker 3>This is what I was going to say ask you,

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<v Speaker 3>is that you know you follow this company so closely,

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<v Speaker 3>and it's how do you read the tea leaves because

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<v Speaker 3>he does tend to be very enthusiastic and maybe changes

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<v Speaker 3>the word and maybe there's a nuance to that change,

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<v Speaker 3>But how do you kind of read through what he says,

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<v Speaker 3>because we know he's going to be a beat.

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<v Speaker 1>I think he's going to be saying, look, trust us

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<v Speaker 1>with this R and D, trust us on a slightly

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<v Speaker 1>lower margin because we have got quote the fastest product

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<v Speaker 1>ramp in our countries.

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<v Speaker 4>His company's history.

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<v Speaker 1>This is a company that suddenly become like Apple and

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<v Speaker 1>giving us a new chip.

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<v Speaker 4>Every year that ever used to happen before.

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<v Speaker 1>There's an extraordinary pace which they're trying to innovate that

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<v Speaker 1>costs money. And indeed, of course you have to be

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<v Speaker 1>patient that sometimes there's going to be a slight friction

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<v Speaker 1>when you come to actually putting these Blackwell supercomputers into

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<v Speaker 1>the mix.

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<v Speaker 2>She shares, we're as high as four percent higher in

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<v Speaker 2>the after hours, now down about four tenths of one percent. Yeah,

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<v Speaker 2>not so much, like though investors are really trying to

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<v Speaker 2>make sense of these numbers. Yeah, it's not going and

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<v Speaker 2>it's not moving in a clear direction.

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<v Speaker 1>I think the clear direction is still always growth, isn't it?

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<v Speaker 1>And the idea that sure and one hundred percent increase

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<v Speaker 1>in revenue that got for their fiscal twenty twenty five,

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<v Speaker 1>which is the one that's just gone, and the one

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<v Speaker 1>prior to that, for two straight years we've had a

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<v Speaker 1>doubling of revenue.

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<v Speaker 4>We're going to have to start to get used.

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<v Speaker 1>To a fifty percent increase in revenue and then a

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<v Speaker 1>twenty three percent growth in revenue. The key question I

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<v Speaker 1>think there is still going to be what about the

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<v Speaker 1>cheap alternatives? What about Trainium too that Amazon has that

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<v Speaker 1>is much cheaper, What about some of these startups that.

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<v Speaker 2>You're seeing, does Tridium too, does that compare with Hopper?

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<v Speaker 2>Does it compare with black?

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<v Speaker 4>Well? About inference much more as well?

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<v Speaker 1>And so this is when they're trying to say, hey,

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<v Speaker 1>you've got your beautiful large language model, come and now

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<v Speaker 1>use it with us, and we will save you so

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<v Speaker 1>much more money about thirty percent.

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<v Speaker 2>So after you've used Nvidia to train it, yes, we

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<v Speaker 2>will process those requests for you exactly.

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<v Speaker 4>And I think that's where you're to start to get

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<v Speaker 4>the edge.

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<v Speaker 1>And in fact, there was an interesting interview done with

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<v Speaker 1>a rival with our CEO of course knows data centers

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<v Speaker 1>and mobiles deeply, and his own design work of course

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<v Speaker 1>helping a lot of those out there, including in Video,

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<v Speaker 1>but he himself saying, look, this is where the opening

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<v Speaker 1>is for competitors.

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<v Speaker 4>It's the inference stage. No one can really compete with the.

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<v Speaker 1>GPU power that in Video has when it comes to

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<v Speaker 1>training these models. But the next layer, when we actually

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<v Speaker 1>get it in and use these incredibly powerful things, that's

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<v Speaker 1>where the edge can come.

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<v Speaker 3>I mean, I don't know. In terms of market expectations,

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<v Speaker 3>not bad.

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<v Speaker 1>Yeah, signaling life kind of everyone was on the money,

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<v Speaker 1>alas did their job well. Jensen's done his job well

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<v Speaker 1>in terms of guiding. But had we got used to

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<v Speaker 1>beaten raises. But look look back to when we were

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<v Speaker 1>sit here together with Meta and Meta's numbers were a

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<v Speaker 1>really late be in miss the forecast, and then Zuck

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<v Speaker 1>gone on and just talked really optimistically and we all

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<v Speaker 1>bought it.

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<v Speaker 2>Yeah that's a good point. Yeah, wait to see what

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<v Speaker 2>happens in the cash session. Wait to hear from Jensen

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<v Speaker 2>a little later. We can only take the moves as

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<v Speaker 2>soon as the numbers come out with a grain of

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<v Speaker 2>solid red brown.

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<v Speaker 3>I put deep seek in the search and nothing, nothing's

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<v Speaker 3>coming up.

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<v Speaker 2>Let's just say it'll likely be asked about by at

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<v Speaker 2>least one analyst tonight.

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<v Speaker 3>Red round.

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<v Speaker 2>I want to bring you in here on sort of

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<v Speaker 2>the broader market reaction to this. There was this idea

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<v Speaker 2>that given the segiment we've seen in the last five

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<v Speaker 2>six days, uh in the broader market, the cell off

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<v Speaker 2>that we've seen in the megacap tech companies this year

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<v Speaker 2>and in the last few days, this would sort of

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<v Speaker 2>change the tone, does it.

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<v Speaker 5>I mean, it doesn't really seem like the tone has

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<v Speaker 5>changed at all. We're looking at the numbers is flat right,

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<v Speaker 5>kind of across the board, with everybody not really reacting.

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<v Speaker 5>You know, I think a lot of the narrative kind

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<v Speaker 5>of has been said. You know, the spending is still there.

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<v Speaker 5>I think if we read all the analysts reports heading

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<v Speaker 5>into this, that was the one data point that everyone

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<v Speaker 5>was hanging on to that there hasn't been anyone coming

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<v Speaker 5>out and saying, you know, we're going to be adjusting

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<v Speaker 5>our AI spending. They've stuck to you know, those massive

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<v Speaker 5>capex numbers that we saw throughout the quarter, so I think, yeah,

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<v Speaker 5>maybe a little bit of a wait and see still unfortunately,

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<v Speaker 5>you know, for the time being.

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<v Speaker 3>Well, and they did note I'm looking at our live

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<v Speaker 3>blog noted margins are being squeezed by the cost of

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<v Speaker 3>bringing new, more complicated products to market, and it sounds

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<v Speaker 3>like what.

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<v Speaker 2>Well, Carolyn explained that means because you know Kunjohn also

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<v Speaker 2>mentioned this idea of an air pocket or the transition

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<v Speaker 2>from Harper to Blackwell. What exactly happens behind the scenes

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<v Speaker 2>here and why is it so expensive?

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<v Speaker 1>Well, I think you've just ultimately got to make sure

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<v Speaker 1>that it works hardware seamlessly with the software that you've

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<v Speaker 1>got going, and ultimately that becomes more a powerful piece

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<v Speaker 1>of equipment that is able to use your data and

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<v Speaker 1>do what you want with it. I think when it

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<v Speaker 1>came to Hopper, there was that was working beautifully for many,

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<v Speaker 1>but everyone got deeply excited about the fact that there

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<v Speaker 1>was the latest greatest innovation suddenly coming out and sort

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<v Speaker 1>of decided to go long on Blackwell instead. We actually

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<v Speaker 1>saw a repositioning of that by many customers when they realized, oh,

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<v Speaker 1>actually this is going to take work for everyone to

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<v Speaker 1>ensure to pull this in, to get this into my

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<v Speaker 1>data centers, and to ultimately make sure that.

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<v Speaker 4>It's doing what it wants to do with the most efficiency.

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<v Speaker 1>Heating problems for example, just some of the technicalities that

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<v Speaker 1>they hadn't been able to stress test at this rapid

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<v Speaker 1>rate of innovation.

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<v Speaker 3>All right, just to rehash, Nvidier giving a bullish revenue

0:10:00.000 --> 0:10:02.960
<v Speaker 3>forecast for the current quarter, reassuring investors that spending on

0:10:03.000 --> 0:10:06.240
<v Speaker 3>AI computing remains strung. Just reading some of the reporting

0:10:06.280 --> 0:10:08.840
<v Speaker 3>out by our Oni and King, who follows this sector,

0:10:08.920 --> 0:10:11.200
<v Speaker 3>sales will be about forty three billion in the fiscal

0:10:11.240 --> 0:10:14.320
<v Speaker 3>first quarter, which runs through April. Analystaid An estimated about

0:10:14.360 --> 0:10:17.040
<v Speaker 3>forty two point three billion on average, with some projections

0:10:17.440 --> 0:10:19.680
<v Speaker 3>ranging as high as forty eight billion. So there were

0:10:19.760 --> 0:10:24.360
<v Speaker 3>some outliers and some very high expectations. Carolyn, how are

0:10:24.400 --> 0:10:26.600
<v Speaker 3>you thinking about this story? Obviously we want to see

0:10:26.920 --> 0:10:29.400
<v Speaker 3>what more commentary we get on the call the follow through.

0:10:29.440 --> 0:10:31.880
<v Speaker 3>In terms of the trade, like I'm looking at NASDAQ

0:10:31.880 --> 0:10:36.480
<v Speaker 3>one hundred mini futures, they're relatively little change, maybe up

0:10:36.480 --> 0:10:40.240
<v Speaker 3>about one tenth of one percent. S and P five

0:10:40.280 --> 0:10:43.240
<v Speaker 3>hundred mini futures, they are just a hair lower, pretty flat,

0:10:43.280 --> 0:10:46.719
<v Speaker 3>So it's really very calm. It feels like you're in

0:10:46.760 --> 0:10:47.520
<v Speaker 3>the aftermarket.

0:10:47.640 --> 0:10:49.480
<v Speaker 1>And maybe we just sort of braced ourselves because the

0:10:49.559 --> 0:10:52.839
<v Speaker 1>volatility they experienced yesterday, and then say we got used

0:10:52.880 --> 0:10:55.560
<v Speaker 1>to the fact that the market is trying to find

0:10:55.559 --> 0:10:58.400
<v Speaker 1>its direction when it comes to what is the question

0:10:58.480 --> 0:11:00.280
<v Speaker 1>of capacity, then we've got to go back to what

0:11:00.320 --> 0:11:01.679
<v Speaker 1>happened in the beginning of the week, and we're all

0:11:01.720 --> 0:11:05.119
<v Speaker 1>asking questions about TD Cowan's note over the weekend about Microsoft.

0:11:05.640 --> 0:11:08.280
<v Speaker 1>I'm sure that it will be questions put to Jensen

0:11:08.360 --> 0:11:12.360
<v Speaker 1>about ultimately is there a capacity over stretch or underreach

0:11:12.400 --> 0:11:14.360
<v Speaker 1>at the moment, and what about these so called scaling

0:11:14.440 --> 0:11:16.720
<v Speaker 1>rules that he's trying to combat in every feat, whether

0:11:16.800 --> 0:11:18.760
<v Speaker 1>or not it's about the scaling rules of how much

0:11:18.760 --> 0:11:21.199
<v Speaker 1>better llms can become with the amount of data on

0:11:21.280 --> 0:11:23.920
<v Speaker 1>compute you throw at it, but ultimately also the scaling

0:11:24.000 --> 0:11:26.600
<v Speaker 1>rules of China or whether that becomes something you can

0:11:26.679 --> 0:11:28.720
<v Speaker 1>still scale into in any way with an H twenty.

0:11:28.880 --> 0:11:30.320
<v Speaker 2>I'm glad he brought that up because one of the

0:11:30.360 --> 0:11:33.320
<v Speaker 2>questions that kun John mentioned was getting more detail on

0:11:33.400 --> 0:11:36.679
<v Speaker 2>views of more US restrictions, specifically with regard to China.

0:11:36.760 --> 0:11:40.240
<v Speaker 2>Read I know you've been doing some searching within the

0:11:40.360 --> 0:11:43.280
<v Speaker 2>press release. Are you seeing anything in there about China sales,

0:11:43.320 --> 0:11:45.000
<v Speaker 2>about a commentary about China.

0:11:44.800 --> 0:11:46.920
<v Speaker 5>No mention about China. So then Kunjohn is correct that

0:11:46.920 --> 0:11:48.560
<v Speaker 5>we that's definitely going to be a top of mind

0:11:49.200 --> 0:11:53.040
<v Speaker 5>topic for analysts on the call. You know right now

0:11:53.080 --> 0:11:54.960
<v Speaker 5>there's a lot of question marks looming around what they

0:11:55.000 --> 0:11:56.720
<v Speaker 5>can do there. It gets they get around twelve percent

0:11:56.760 --> 0:11:58.920
<v Speaker 5>of their sales over the past few years, most of

0:11:58.920 --> 0:12:01.439
<v Speaker 5>that coming across from game being automotive end data centers.

0:12:01.480 --> 0:12:03.600
<v Speaker 5>So I think there will be questions about, you know,

0:12:03.720 --> 0:12:06.760
<v Speaker 5>what sort of contingencies maybe they have in place if

0:12:07.080 --> 0:12:09.800
<v Speaker 5>any sort of rediction restrictions do come down.

0:12:10.000 --> 0:12:12.240
<v Speaker 3>Well, and Caroline, I mean jensenmong has made his way

0:12:12.280 --> 0:12:15.120
<v Speaker 3>to the way that's read. He said, conversations with President

0:12:15.160 --> 0:12:17.439
<v Speaker 3>Trump about these issues and his concerns.

0:12:17.679 --> 0:12:21.199
<v Speaker 1>Yeah, certainly, and that had been pre premeditated. He'd been

0:12:21.200 --> 0:12:23.800
<v Speaker 1>going to go and see President Trump. We know that

0:12:23.840 --> 0:12:25.960
<v Speaker 1>he'd wanted to. When our own ed Ludlow sat down

0:12:25.960 --> 0:12:28.400
<v Speaker 1>with him previously, he said, I'm ready willing and able

0:12:28.440 --> 0:12:30.400
<v Speaker 1>to go and meet President Trump, and certainly they wanted

0:12:30.440 --> 0:12:32.280
<v Speaker 1>me to go. She because remembers the end of the administration,

0:12:32.360 --> 0:12:35.560
<v Speaker 1>the Biden administration that's suddenly added all these curtailments to

0:12:35.559 --> 0:12:39.400
<v Speaker 1>how much they can place chips in other geographies, not

0:12:39.440 --> 0:12:41.360
<v Speaker 1>just China, because there's this worry that you sell into

0:12:41.360 --> 0:12:44.080
<v Speaker 1>a different nation to Singapore, and actually that's suddenly how

0:12:44.080 --> 0:12:47.199
<v Speaker 1>it's getting dispersed into China as well. So he's got

0:12:47.240 --> 0:12:50.319
<v Speaker 1>a lot to be debating. I do note in I mean,

0:12:50.320 --> 0:12:52.079
<v Speaker 1>I hate to be a cynic when you're looking at

0:12:52.120 --> 0:12:56.000
<v Speaker 1>these press releases, but he really only mentions US companies

0:12:56.040 --> 0:12:57.920
<v Speaker 1>at the beginning of how much that they're working with

0:12:58.000 --> 0:13:01.920
<v Speaker 1>the HWS is the Cisco's the verizons. I mean, it

0:13:02.000 --> 0:13:04.600
<v Speaker 1>really is a focus in on us.

0:13:04.760 --> 0:13:06.920
<v Speaker 3>It's just this week things I think now increasing a

0:13:07.000 --> 0:13:08.439
<v Speaker 3>partnership right with Cisco.

0:13:08.280 --> 0:13:10.679
<v Speaker 1>Exactly to get the networking better again, just get these

0:13:10.720 --> 0:13:12.240
<v Speaker 1>things into people's hands more efficiently.

0:13:12.400 --> 0:13:15.480
<v Speaker 2>We've talked about hop Hopper, We've talked a lot about Blackwell.

0:13:15.760 --> 0:13:17.360
<v Speaker 2>Is it too early for us to be talking about

0:13:17.360 --> 0:13:19.400
<v Speaker 2>Reuben I don't.

0:13:19.440 --> 0:13:23.640
<v Speaker 1>I mean, what in the next innovation, This is the

0:13:23.720 --> 0:13:26.240
<v Speaker 1>next year, this is the next I don't think Jadson

0:13:26.320 --> 0:13:27.960
<v Speaker 1>is ever too early to talk about what he's got

0:13:28.040 --> 0:13:28.720
<v Speaker 1>up next to sleep.

0:13:28.880 --> 0:13:31.200
<v Speaker 2>So that's that's the question. I mean, our investors looking

0:13:31.320 --> 0:13:33.240
<v Speaker 2>for you know, this is this is the This is

0:13:33.280 --> 0:13:36.040
<v Speaker 2>what happens with compute, right, You build something and then

0:13:36.040 --> 0:13:37.920
<v Speaker 2>you build something better, and you build something better. That

0:13:38.040 --> 0:13:40.280
<v Speaker 2>just happens over and over again, and it costs money.

0:13:40.400 --> 0:13:43.480
<v Speaker 2>It costs money. So how important is you know the

0:13:43.559 --> 0:13:47.240
<v Speaker 2>next generation what comes after blackwell apparently code named Rubin.

0:13:47.440 --> 0:13:50.000
<v Speaker 2>How important is that to where we are in the

0:13:50.040 --> 0:13:51.000
<v Speaker 2>timeline of Nvidia.

0:13:52.280 --> 0:13:56.040
<v Speaker 1>I think it's important to show that they are continuing

0:13:56.240 --> 0:13:59.719
<v Speaker 1>to just innovate ahead of any of the competition. That

0:14:00.120 --> 0:14:02.400
<v Speaker 1>the more it's more Lisa Sue who pays attention to

0:14:02.480 --> 0:14:06.120
<v Speaker 1>Ruben and things up like, yeah, how am I managing

0:14:06.200 --> 0:14:07.959
<v Speaker 1>to get any sort of in here in terms of

0:14:08.080 --> 0:14:10.559
<v Speaker 1>owning the data center space when it comes to just

0:14:10.679 --> 0:14:14.000
<v Speaker 1>the ability that Jensen has had to see around corners,

0:14:14.000 --> 0:14:15.679
<v Speaker 1>when it comes to the use and application of his

0:14:15.800 --> 0:14:17.360
<v Speaker 1>GPUs for gaming.

0:14:17.080 --> 0:14:19.200
<v Speaker 4>For crypto and then for generative AI.

0:14:19.760 --> 0:14:22.600
<v Speaker 1>But maybe Lisa Su starts to play the tack of okay,

0:14:22.680 --> 0:14:25.080
<v Speaker 1>but it's me with cheaper price points, and I wonder

0:14:25.080 --> 0:14:27.400
<v Speaker 1>whether the margin starts to creep into that narrative as

0:14:27.440 --> 0:14:30.480
<v Speaker 1>well as maybe yes, it's a deeply expensive piece of

0:14:30.560 --> 0:14:32.760
<v Speaker 1>kit with everyone offering cheaper alternatives.

0:14:32.840 --> 0:14:33.200
<v Speaker 6>What do you do?

0:14:33.280 --> 0:14:33.960
<v Speaker 4>How do you respond?

0:14:34.040 --> 0:14:36.000
<v Speaker 3>All right, folks, we're talking with Caroline Hyde, co host

0:14:36.000 --> 0:14:39.200
<v Speaker 3>of Bloomberg Technology on Bloomberg TV at eleven am Wall

0:14:39.280 --> 0:14:42.720
<v Speaker 3>Street Time. Let's bring into the conversation Mandy Seeing walking

0:14:42.800 --> 0:14:46.200
<v Speaker 3>into our studio Bloomberg Intelligence, Senior Tech Industry Analysis. He

0:14:46.240 --> 0:14:48.000
<v Speaker 3>walked in because we asked him to and we were

0:14:48.760 --> 0:14:51.400
<v Speaker 3>hoping you would. Hey, and video shares have been bouncing around.

0:14:51.920 --> 0:14:54.960
<v Speaker 3>Should any of us who are thinking about the AI industry?

0:14:55.080 --> 0:14:56.400
<v Speaker 3>Is this a dose of optimism?

0:14:57.440 --> 0:15:00.400
<v Speaker 7>It is? But when it comes to Nvidia specific I

0:15:00.480 --> 0:15:04.160
<v Speaker 7>would say, you know, the fact that networking revenue declines

0:15:04.240 --> 0:15:07.720
<v Speaker 7>sequentially for the second quarter in a row again in

0:15:07.840 --> 0:15:11.240
<v Speaker 7>Vidio is very high bar. And you know, given their

0:15:11.280 --> 0:15:14.800
<v Speaker 7>bed and raises, everyone expects them to do, you know,

0:15:14.960 --> 0:15:18.000
<v Speaker 7>well on every line. So networking going down, to me,

0:15:18.120 --> 0:15:21.680
<v Speaker 7>that's a sticking point, along with gross margins going down

0:15:22.200 --> 0:15:25.240
<v Speaker 7>and just the sequential increases that we have seen in

0:15:25.320 --> 0:15:29.280
<v Speaker 7>the past quarters. It looks like it's tapering again. It's

0:15:29.480 --> 0:15:32.560
<v Speaker 7>double digit. But when it comes to the overall growth rate,

0:15:32.680 --> 0:15:35.440
<v Speaker 7>it feels like it's decelerating. And the last data point

0:15:35.480 --> 0:15:40.520
<v Speaker 7>I would offer is the cloud exposure, the hyperscale cloud exposure.

0:15:40.800 --> 0:15:44.600
<v Speaker 7>It was forty five percent before now it's fifty percent Now.

0:15:44.760 --> 0:15:47.880
<v Speaker 7>What it tells you is they kind of we are exposed.

0:15:48.480 --> 0:15:51.520
<v Speaker 7>And so the fact that you know networking is going down,

0:15:51.640 --> 0:15:56.960
<v Speaker 7>it's a sign that you know, training versus inferencing component

0:15:57.560 --> 0:16:01.200
<v Speaker 7>that seems to be really in question here because networking

0:16:01.280 --> 0:16:06.040
<v Speaker 7>does well. If training is growing, if networking is going down,

0:16:06.240 --> 0:16:09.560
<v Speaker 7>that's a sign that they may be facing some sort

0:16:09.640 --> 0:16:13.960
<v Speaker 7>of challenges or starting to get more questions around the

0:16:14.000 --> 0:16:16.200
<v Speaker 7>scale of training. And I think that's a big question,

0:16:16.320 --> 0:16:16.840
<v Speaker 7>So go.

0:16:16.920 --> 0:16:19.240
<v Speaker 2>Deeper on that with training versus inference. We're talking a

0:16:19.240 --> 0:16:22.920
<v Speaker 2>little bit about it with Caroline context Amazon and what

0:16:23.000 --> 0:16:26.880
<v Speaker 2>Amazon has when it comes to in France. But what

0:16:27.000 --> 0:16:28.960
<v Speaker 2>do we learn in video within Vidia today.

0:16:29.440 --> 0:16:33.680
<v Speaker 7>Look, if you're setting up a giant cluster like Xai

0:16:33.880 --> 0:16:36.400
<v Speaker 7>has with you know, one hundred and two hundred thousand GPUs,

0:16:36.680 --> 0:16:38.760
<v Speaker 7>you need a lot of networking there. But if you

0:16:38.800 --> 0:16:41.240
<v Speaker 7>are setting up a data center with let's say a thousand,

0:16:41.320 --> 0:16:45.120
<v Speaker 7>two thousand GPUs, you don't need as much of Nvidia

0:16:45.160 --> 0:16:49.040
<v Speaker 7>as networking, and that's where you know, training versus inferencing

0:16:49.120 --> 0:16:53.600
<v Speaker 7>really matters, because if you know, companies are leaning towards

0:16:53.640 --> 0:16:58.840
<v Speaker 7>setting up more data centers with fewer chips. I mean

0:16:58.880 --> 0:17:00.800
<v Speaker 7>when I say, if you are still thousands of chips

0:17:00.840 --> 0:17:03.120
<v Speaker 7>but not to the scale of one hundred thousand, then

0:17:03.280 --> 0:17:05.720
<v Speaker 7>networking won't do as well. And that's the whole debate

0:17:05.760 --> 0:17:08.600
<v Speaker 7>about training versus inferencing. So to my mind, you know,

0:17:08.800 --> 0:17:13.000
<v Speaker 7>deep seek and all the recent developments from hyperscalers suggests

0:17:13.040 --> 0:17:17.040
<v Speaker 7>that you may not need giant clusters and that is

0:17:17.520 --> 0:17:21.240
<v Speaker 7>I think going to affect Nvidia going forward. So when

0:17:21.280 --> 0:17:22.920
<v Speaker 7>I look at their guide, when I look at the

0:17:23.040 --> 0:17:26.760
<v Speaker 7>fact that you know, networking declined sequentially, again, it's a

0:17:26.880 --> 0:17:30.760
<v Speaker 7>great print, but to me, the path seems to be

0:17:31.000 --> 0:17:33.560
<v Speaker 7>that it will slow down on the networking side, and

0:17:33.600 --> 0:17:36.080
<v Speaker 7>then you have to ask yourself where will the upside

0:17:36.160 --> 0:17:38.919
<v Speaker 7>come from. Maybe on the call they expand on starlink

0:17:39.119 --> 0:17:42.359
<v Speaker 7>and you know, the sovereigns that is a big pocket.

0:17:42.440 --> 0:17:45.480
<v Speaker 7>If that pans out in terms of training, like setting

0:17:45.600 --> 0:17:49.280
<v Speaker 7>up big clusters that Sam Altman has talked about, you know,

0:17:49.400 --> 0:17:52.160
<v Speaker 7>with projects started, then you will start to see networking

0:17:52.200 --> 0:17:55.000
<v Speaker 7>bounce but for me, there is a clear connection between

0:17:55.040 --> 0:17:58.000
<v Speaker 7>networking and size of cluster and also software. There was

0:17:58.119 --> 0:18:01.200
<v Speaker 7>nothing in the print around software, even though it's you know,

0:18:01.320 --> 0:18:04.080
<v Speaker 7>two billion dollars in revenue when you look at a

0:18:04.200 --> 0:18:07.040
<v Speaker 7>data center, you know, aligne, which with over one hundred

0:18:07.040 --> 0:18:10.320
<v Speaker 7>and fifteen billion dollars two billion is very great small,

0:18:10.440 --> 0:18:13.800
<v Speaker 7>but they didn't mention anything around software. So there's still

0:18:13.840 --> 0:18:17.639
<v Speaker 7>a chip company that depends on you know, companies buying

0:18:17.720 --> 0:18:22.040
<v Speaker 7>their their chips in bulk and also leering and networking.

0:18:22.160 --> 0:18:25.120
<v Speaker 7>So to me that the networking part is critical here.

0:18:25.240 --> 0:18:27.760
<v Speaker 3>You know, one of our on our live blog are

0:18:27.880 --> 0:18:31.360
<v Speaker 3>Carmin Rhinikey saying, you know, bringing kind of salesforce into

0:18:31.359 --> 0:18:33.600
<v Speaker 3>the mix, noting that shares of Salesforce are down more

0:18:33.640 --> 0:18:36.560
<v Speaker 3>than five percent in post market trading after it reported

0:18:36.720 --> 0:18:40.200
<v Speaker 3>we growth outlooks, stoking worry about its new AI product.

0:18:40.240 --> 0:18:41.920
<v Speaker 3>Like you know, you do think about kind of the

0:18:42.000 --> 0:18:45.520
<v Speaker 3>whole infrastructure, the whole community. Caroline, come on in the

0:18:45.560 --> 0:18:47.960
<v Speaker 3>conversation following off mandypin if you've got a question.

0:18:48.000 --> 0:18:51.040
<v Speaker 1>Well, I do think that that's interesting about agent KI

0:18:51.160 --> 0:18:53.960
<v Speaker 1>and this is where salesforce and agent force is in

0:18:54.040 --> 0:18:56.880
<v Speaker 1>the front and center and look, Jensen pays lip service

0:18:56.960 --> 0:18:59.040
<v Speaker 1>to it in the statement saying AI is advancing at

0:18:59.119 --> 0:19:02.040
<v Speaker 1>light speed as a GENTKI and physical AI set the

0:19:02.080 --> 0:19:04.080
<v Speaker 1>stage for the next wave, but he's got to keep

0:19:04.160 --> 0:19:07.680
<v Speaker 1>talking about scaling laws when it comes to training. That

0:19:07.880 --> 0:19:09.639
<v Speaker 1>is going back to a reasoning AI. He's trying to

0:19:09.640 --> 0:19:12.119
<v Speaker 1>find new ways to galvanize us all to be excited.

0:19:12.160 --> 0:19:14.399
<v Speaker 1>But if the agents aren't selling that well as far

0:19:14.480 --> 0:19:15.520
<v Speaker 1>as we thought about.

0:19:15.520 --> 0:19:18.520
<v Speaker 7>Is reasoning really that good for Nvidia? In my mind,

0:19:18.840 --> 0:19:23.200
<v Speaker 7>if the pivot has happened towards more reasoning, huh, that's

0:19:23.359 --> 0:19:26.320
<v Speaker 7>not a positive for Nvidia because when you're doing reasoning,

0:19:26.400 --> 0:19:30.359
<v Speaker 7>you are doing more inference compute. And I mean, based

0:19:30.400 --> 0:19:33.840
<v Speaker 7>on Jensen's past comments, Nvidia has a forty percent share

0:19:33.920 --> 0:19:38.200
<v Speaker 7>in inferencing. Sixty percent is training, right, So how can

0:19:38.280 --> 0:19:40.960
<v Speaker 7>it be better if you're doing more training, you know,

0:19:41.160 --> 0:19:44.800
<v Speaker 7>using that reasoning approach. So those are like very small nuggets,

0:19:45.160 --> 0:19:47.640
<v Speaker 7>but I think in the grand scheme of things they matter.

0:19:47.960 --> 0:19:51.200
<v Speaker 2>You mentioned agentic AGENTIC AI. You got to explain what

0:19:51.359 --> 0:19:53.560
<v Speaker 2>that is for people, especially in the context of what

0:19:53.720 --> 0:19:56.480
<v Speaker 2>you talked about with Panos Pane earlier and what Amazon

0:19:56.560 --> 0:19:57.399
<v Speaker 2>released today, and.

0:19:57.440 --> 0:20:02.360
<v Speaker 1>I think this is how ultimately starts being more helpful

0:20:02.520 --> 0:20:06.760
<v Speaker 1>that a not only will your chatbot basically go away

0:20:06.800 --> 0:20:10.040
<v Speaker 1>and take longer thoughts about things, thoughts quote unquote, you know,

0:20:10.320 --> 0:20:12.920
<v Speaker 1>trying to or personify these these pits of tar and

0:20:13.000 --> 0:20:15.680
<v Speaker 1>it is real, it is real, and person fall in

0:20:15.760 --> 0:20:20.320
<v Speaker 1>love with it. But she if it's ass then is

0:20:20.400 --> 0:20:22.800
<v Speaker 1>going to go off and start actioning stuff for you.

0:20:23.080 --> 0:20:24.840
<v Speaker 1>Not only are they going to tell you the best restaurant,

0:20:24.880 --> 0:20:26.840
<v Speaker 1>they go book it for you. They're going to potentially

0:20:26.880 --> 0:20:31.200
<v Speaker 1>start booking flights, paying for them. Agents can take ultimately

0:20:31.480 --> 0:20:34.880
<v Speaker 1>still relatively basic needs, but run with them and complete

0:20:34.920 --> 0:20:38.119
<v Speaker 1>the task. And that's ultimately where Salesforce and these enterprise

0:20:38.200 --> 0:20:40.760
<v Speaker 1>software companies have started to really see. They're in the

0:20:40.960 --> 0:20:43.680
<v Speaker 1>question for many which has is always being asked is

0:20:43.720 --> 0:20:46.200
<v Speaker 1>how they price for it? And Salesforce sort of stick

0:20:46.240 --> 0:20:48.440
<v Speaker 1>the cell and sells on a limb and started saying, well,

0:20:48.520 --> 0:20:50.440
<v Speaker 1>this is how much going to pay per per user

0:20:50.520 --> 0:20:52.400
<v Speaker 1>or indeed per amount that you actually use.

0:20:52.480 --> 0:20:54.440
<v Speaker 4>But all of this is the return on AI that

0:20:54.520 --> 0:20:56.040
<v Speaker 4>we keep questioning in so many ways.

0:20:56.280 --> 0:20:59.359
<v Speaker 7>I mean, you have to ask yourself, why is Nvidia's

0:20:59.400 --> 0:21:00.760
<v Speaker 7>growth smart going down?

0:21:01.000 --> 0:21:01.119
<v Speaker 6>Right?

0:21:01.800 --> 0:21:04.600
<v Speaker 7>You know, obviously they release a new product that should

0:21:04.640 --> 0:21:07.960
<v Speaker 7>command premium pricing, and look they guided to that. So

0:21:08.160 --> 0:21:11.200
<v Speaker 7>they're saying in the second half you will see gross

0:21:11.240 --> 0:21:14.880
<v Speaker 7>margins rebound, but they're going down for a reason. Either

0:21:15.600 --> 0:21:19.440
<v Speaker 7>they're paying up more for foundry costs to DSMC or

0:21:19.680 --> 0:21:23.840
<v Speaker 7>they're just incanctivizing their customers to buy more. And you know,

0:21:24.359 --> 0:21:27.040
<v Speaker 7>given black Belt did so well in the quarter, there

0:21:27.119 --> 0:21:30.119
<v Speaker 7>could be some you know pricing aspect to it in

0:21:30.240 --> 0:21:33.200
<v Speaker 7>terms of just driving demand and you know, shipping morels.

0:21:33.280 --> 0:21:35.440
<v Speaker 4>Is that because we're getting more competition as well in

0:21:35.480 --> 0:21:35.959
<v Speaker 4>the future.

0:21:36.400 --> 0:21:40.399
<v Speaker 7>I mean CSPs, the four CSPs make fifty percent of

0:21:40.480 --> 0:21:45.520
<v Speaker 7>their revenue hyperscalers, the hyperscalers.

0:21:44.920 --> 0:21:48.920
<v Speaker 3>So all you're talking about your alphabet, you're talking about

0:21:48.920 --> 0:21:51.680
<v Speaker 3>your Microsoft microsycroso.

0:21:51.960 --> 0:21:55.040
<v Speaker 7>Yeah, and Amazon so and it was forty five percent

0:21:55.600 --> 0:21:58.920
<v Speaker 7>last quarter, So that exporture grew, right, I mean, and

0:21:59.200 --> 0:22:01.879
<v Speaker 7>they're shipping more blackwell. So when you connect it to

0:22:02.359 --> 0:22:06.399
<v Speaker 7>clearly there is and these are customers that are buying

0:22:06.480 --> 0:22:10.040
<v Speaker 7>chips in bulk, so they need some pricing, you know.

0:22:10.119 --> 0:22:13.000
<v Speaker 3>To Does that play to the margin that they're getting

0:22:13.000 --> 0:22:13.320
<v Speaker 3>a break?

0:22:14.680 --> 0:22:17.320
<v Speaker 7>I would assume? So, right, Yeah, if you are a

0:22:17.440 --> 0:22:20.600
<v Speaker 7>customer that is paying, you know, twenty billion dollars a

0:22:20.760 --> 0:22:23.400
<v Speaker 7>year or two in Vidia, you want some pricing break

0:22:23.440 --> 0:22:24.840
<v Speaker 7>compared to the other customers, not.

0:22:24.920 --> 0:22:25.800
<v Speaker 3>Just a free basket.

0:22:26.200 --> 0:22:28.320
<v Speaker 1>It was a question that I couldn't answer fully because

0:22:28.359 --> 0:22:29.639
<v Speaker 1>I don't have the depth of knowledge that you do

0:22:29.800 --> 0:22:33.360
<v Speaker 1>Man deep And ultimately, the issue of getting to Blackwell

0:22:33.440 --> 0:22:35.800
<v Speaker 1>and the heating issues that we've seen and the ultimate rollout,

0:22:36.160 --> 0:22:38.360
<v Speaker 1>has that cost them any margin? And does it cost

0:22:38.400 --> 0:22:40.280
<v Speaker 1>them to have top going back and fixing things or

0:22:40.400 --> 0:22:43.200
<v Speaker 1>is it on someone else to keep using ensuring it's working.

0:22:43.400 --> 0:22:46.280
<v Speaker 7>So there were concerns around Blackwell, and look, if you're

0:22:46.280 --> 0:22:49.520
<v Speaker 7>a customer, you would want to wait until they resolve

0:22:49.600 --> 0:22:52.879
<v Speaker 7>all these issues. But in Media moved at a pretty

0:22:52.920 --> 0:22:55.800
<v Speaker 7>fast pace in terms of fixing those issues and actually

0:22:56.000 --> 0:22:58.760
<v Speaker 7>getting eleven billion dollars of revenue in the quarter. So

0:22:58.920 --> 0:23:01.199
<v Speaker 7>the fact that they were to do it so quickly

0:23:01.880 --> 0:23:04.920
<v Speaker 7>shows good execution. But they're shipping a lot of these

0:23:05.000 --> 0:23:08.879
<v Speaker 7>chips to the hyperscalers, who again I feel, have to

0:23:08.960 --> 0:23:13.320
<v Speaker 7>be incentivized to take those bulk shipments, and that could

0:23:13.359 --> 0:23:15.479
<v Speaker 7>have played in terms of the lower margins.

0:23:15.520 --> 0:23:18.960
<v Speaker 2>And we're the concerns about overbuild answered where they put

0:23:19.000 --> 0:23:19.320
<v Speaker 2>to rest.

0:23:19.520 --> 0:23:23.560
<v Speaker 7>I mean they look at all of their suppliers TSMC,

0:23:24.000 --> 0:23:26.760
<v Speaker 7>Micron on the HBM side, all of them are still

0:23:26.800 --> 0:23:29.680
<v Speaker 7>supply constraints, so I can't imagine, you know, there is

0:23:29.760 --> 0:23:33.240
<v Speaker 7>any chance of an overbuild here. There's clearly more demand

0:23:33.359 --> 0:23:36.800
<v Speaker 7>than supply and all the suppliers are continuing to expand capacity.

0:23:37.080 --> 0:23:39.480
<v Speaker 7>So that is the least of my concern here. It's

0:23:39.560 --> 0:23:43.000
<v Speaker 7>more the competition and the lower gross margins and the

0:23:43.119 --> 0:23:46.240
<v Speaker 7>training versus inferencing is the key point that I hope

0:23:46.440 --> 0:23:48.760
<v Speaker 7>he addresses on the call in relation to deep sea.

0:23:48.920 --> 0:23:50.879
<v Speaker 3>I'm just again going to people who maybe are not

0:23:51.080 --> 0:23:54.359
<v Speaker 3>so in it, like you guys are the training versus inferencing,

0:23:54.680 --> 0:23:56.760
<v Speaker 3>Like what do they need to kind of understand. I

0:23:56.840 --> 0:23:58.240
<v Speaker 3>want to go back there because I do feel like

0:23:58.320 --> 0:23:59.480
<v Speaker 3>that's the big factor here.

0:24:00.080 --> 0:24:04.119
<v Speaker 7>Building one million GPU clusters right now, the largest sized

0:24:04.119 --> 0:24:08.000
<v Speaker 7>cluster is a two hundred K cluster that XCAI has built,

0:24:08.080 --> 0:24:09.919
<v Speaker 7>and I think META is also a building, and.

0:24:09.960 --> 0:24:12.119
<v Speaker 2>That's for training or for enfortan training training.

0:24:12.160 --> 0:24:15.560
<v Speaker 7>You build a one million or one hundred thousand chip cluster,

0:24:16.000 --> 0:24:18.560
<v Speaker 7>you're using it for training, You're not doing inferencing because

0:24:18.640 --> 0:24:22.560
<v Speaker 7>inferencing patterns are very volatile, and inferencing is more tied

0:24:22.600 --> 0:24:26.719
<v Speaker 7>to usage. You know, if I am using a chat

0:24:26.800 --> 0:24:29.959
<v Speaker 7>gipt during the day, the traffic will be more, at

0:24:30.080 --> 0:24:31.680
<v Speaker 7>night it will be less. So I'm not going to

0:24:31.960 --> 0:24:35.560
<v Speaker 7>keep the chips under utilized. I want one hundred thousand

0:24:35.680 --> 0:24:39.360
<v Speaker 7>chips to be utilized at maximum capacity. That's why training

0:24:39.760 --> 0:24:42.240
<v Speaker 7>is what is used for, you know, the large GPU clusters.

0:24:42.359 --> 0:24:45.000
<v Speaker 2>But to that point, even to the inference point we learn,

0:24:45.280 --> 0:24:47.320
<v Speaker 2>I think today that deep seek is sort of doing

0:24:47.440 --> 0:24:50.399
<v Speaker 2>surge pricing when it comes to when you're using the

0:24:50.560 --> 0:24:53.040
<v Speaker 2>app because they want people to use it not during

0:24:53.119 --> 0:24:54.760
<v Speaker 2>peak times because that is expensive.

0:24:54.960 --> 0:24:57.040
<v Speaker 7>Yeah, I mean look, and that goes to the under

0:24:57.119 --> 0:24:59.760
<v Speaker 7>supply aspect, right, so the market is still under some

0:25:00.359 --> 0:25:03.119
<v Speaker 7>and that's where wherever you can find capacity, you use it.

0:25:03.359 --> 0:25:05.119
<v Speaker 3>We know, you guys both have to go. Caroline, So

0:25:05.320 --> 0:25:07.320
<v Speaker 3>you're sitting down with Jensen, what do you want to know?

0:25:08.200 --> 0:25:10.399
<v Speaker 1>I want to know about For me, I want to

0:25:10.440 --> 0:25:13.280
<v Speaker 1>know about China, and I also want to know about

0:25:13.480 --> 0:25:17.200
<v Speaker 1>this capacity issue that we keep talking about and how

0:25:18.000 --> 0:25:21.520
<v Speaker 1>ultimately at Easy is with the amount that demand he

0:25:21.600 --> 0:25:22.840
<v Speaker 1>still go going all.

0:25:22.760 --> 0:25:24.440
<v Speaker 3>Right, same thing for you, man, Deep, you're sitting down

0:25:24.440 --> 0:25:24.800
<v Speaker 3>with Jensen.

0:25:24.880 --> 0:25:28.919
<v Speaker 7>Hey, right, training, Just tell me your training share right now?

0:25:29.040 --> 0:25:31.360
<v Speaker 7>Is there still sixty forty? Has it changed? And what's

0:25:31.440 --> 0:25:31.960
<v Speaker 7>the outlook?

0:25:32.200 --> 0:25:32.520
<v Speaker 3>All right?

0:25:32.600 --> 0:25:33.200
<v Speaker 4>Guys, you rock.

0:25:33.600 --> 0:25:36.000
<v Speaker 3>Thank you so much. Man Deep seeing Bloomberg Intelligence senior

0:25:36.040 --> 0:25:39.200
<v Speaker 3>tech industry analyst here in studio along with Caroline Hide

0:25:39.240 --> 0:25:42.359
<v Speaker 3>Coast of Bloomberg Technology and Bloomberg TV. Check out Man

0:25:42.400 --> 0:25:44.880
<v Speaker 3>Deep's research. It'll be on the Bloomberg tomorrow. Caroline will

0:25:44.920 --> 0:25:47.199
<v Speaker 3>be all over it on Bloomberg Technology. That comes your

0:25:47.200 --> 0:25:50.000
<v Speaker 3>way at eleven am Wall Street time on Bloomberg TV.

0:25:50.440 --> 0:25:53.200
<v Speaker 2>All right, well, you heard Caroline mention China just now,

0:25:53.280 --> 0:25:54.840
<v Speaker 2>and that's kind of what we want to talk about

0:25:54.880 --> 0:25:57.960
<v Speaker 2>with Michael Shepherd. He's Bloomberg News senior editor for Technology

0:25:58.000 --> 0:26:00.320
<v Speaker 2>and Strategic Industries. He joins us from our wash Rington,

0:26:00.600 --> 0:26:04.200
<v Speaker 2>DC bureau. As Red Brown pointed out to us, Michael

0:26:04.359 --> 0:26:06.560
<v Speaker 2>just a few moments ago, no mention of China in

0:26:06.680 --> 0:26:09.920
<v Speaker 2>the press release. We are waiting for Jensen to take

0:26:10.040 --> 0:26:15.400
<v Speaker 2>questions from analysts about that. What are the concerns around potential.

0:26:15.560 --> 0:26:18.800
<v Speaker 2>I don't want to use the term sanctions, but restrictions

0:26:19.119 --> 0:26:20.760
<v Speaker 2>on what in Nvidia can sell to China.

0:26:21.560 --> 0:26:24.000
<v Speaker 6>Well, that's a better way of putting it, Tim, because

0:26:24.359 --> 0:26:27.119
<v Speaker 6>really what in Vidia has confronted it's not some it

0:26:27.240 --> 0:26:32.120
<v Speaker 6>sanctions or penalties, but limits on the types and quantities

0:26:32.160 --> 0:26:34.760
<v Speaker 6>of chips that can sell to Chinese entities. And of

0:26:34.840 --> 0:26:39.600
<v Speaker 6>course this is in response to the challenge that the

0:26:39.680 --> 0:26:44.440
<v Speaker 6>world's second largest economy poses to the US in advanced technology,

0:26:44.760 --> 0:26:49.000
<v Speaker 6>but especially in this emerging area of artificial intelligence. And

0:26:49.560 --> 0:26:53.200
<v Speaker 6>Donald Trump upon taking office, he made it a national

0:26:53.280 --> 0:26:57.720
<v Speaker 6>priority to preserve dominance and artificial intelligence. But that was

0:26:57.880 --> 0:27:01.159
<v Speaker 6>also a theme during the Biden administration, and some of

0:27:01.200 --> 0:27:05.520
<v Speaker 6>these restrictions that have really been deviled in Vidia at

0:27:05.600 --> 0:27:09.119
<v Speaker 6>times date to the Biden era and President Joe Biden,

0:27:09.320 --> 0:27:11.840
<v Speaker 6>a week before leaving office and handing over the reigns

0:27:11.880 --> 0:27:15.879
<v Speaker 6>of power to Donald Trump, imposed a three tiered system

0:27:16.000 --> 0:27:21.600
<v Speaker 6>of limits on country's access to sensitive chips for AI

0:27:21.840 --> 0:27:25.639
<v Speaker 6>of the likes of which that in Nvidia produces. And

0:27:25.840 --> 0:27:29.120
<v Speaker 6>so we are waiting to see what Jensen Wang will

0:27:29.200 --> 0:27:32.400
<v Speaker 6>have to say about this, what sort of challenge as

0:27:32.440 --> 0:27:34.959
<v Speaker 6>opposed to the business, and what sorts of steps has

0:27:35.000 --> 0:27:37.120
<v Speaker 6>he taken then maybe try to talk Donald Trump out

0:27:37.160 --> 0:27:37.280
<v Speaker 6>of it.

0:27:39.640 --> 0:27:41.600
<v Speaker 3>Has he been so has he been to the White

0:27:41.640 --> 0:27:42.320
<v Speaker 3>House yet.

0:27:43.240 --> 0:27:45.840
<v Speaker 6>And he was one of the last of the big

0:27:46.040 --> 0:27:49.280
<v Speaker 6>tech executives to pay a visit to the White House

0:27:49.320 --> 0:27:52.399
<v Speaker 6>and see Donald Trump. There was no visit by Jensen

0:27:52.520 --> 0:27:56.280
<v Speaker 6>Wang to mar Lago during the transition, and it wasn't

0:27:56.359 --> 0:28:00.439
<v Speaker 6>until January thirty first, that week when deep seek really

0:28:00.640 --> 0:28:04.119
<v Speaker 6>shook the markets, and especially in Vidia. It was a

0:28:04.280 --> 0:28:07.000
<v Speaker 6>Friday that he went in to go meet with the

0:28:07.119 --> 0:28:12.119
<v Speaker 6>President and talk generally about artificial intelligence, of course, but

0:28:12.240 --> 0:28:15.560
<v Speaker 6>you had to imagine that export controls came up. Nvidia

0:28:15.680 --> 0:28:19.520
<v Speaker 6>certainly has railed against them. We saw statements coming from

0:28:19.840 --> 0:28:23.280
<v Speaker 6>their spokespeople, as you know, we heard the Biden folks

0:28:23.680 --> 0:28:27.080
<v Speaker 6>talk more about them. And then as the Trump team

0:28:27.240 --> 0:28:30.600
<v Speaker 6>came in and saw a deep Seek's breakthrough and thought, hey,

0:28:30.800 --> 0:28:33.399
<v Speaker 6>we have to do something ourselves. We may need to

0:28:33.640 --> 0:28:36.720
<v Speaker 6>further tighten these restrictions. Well they weighed in again. But

0:28:36.840 --> 0:28:39.840
<v Speaker 6>Jensen Wong has been quiet about it. So this will

0:28:39.840 --> 0:28:41.320
<v Speaker 6>be a moment for him to say something.

0:28:41.760 --> 0:28:43.560
<v Speaker 2>You know, I think it was Caroline, I can't remember

0:28:43.600 --> 0:28:45.560
<v Speaker 2>exactly who it was on our on our Eric Carrol

0:28:45.600 --> 0:28:48.280
<v Speaker 2>who mentioned that in the press release, the names that

0:28:48.360 --> 0:28:52.640
<v Speaker 2>are mentioned cloud service providers aws Core Weave, Google Cloud Platform,

0:28:52.960 --> 0:29:01.719
<v Speaker 2>Microsoft Aser, Oral Cloud, Oracle Cloud Infrastructure, AWS, Cisco companies,

0:29:01.760 --> 0:29:04.959
<v Speaker 2>all US companies, And I don't know if it's if

0:29:05.040 --> 0:29:07.600
<v Speaker 2>it's a political statement or if it's just a statement

0:29:07.680 --> 0:29:11.120
<v Speaker 2>of the fact that these most prominent companies are based

0:29:11.160 --> 0:29:14.640
<v Speaker 2>in the US. Is there a read into this, Michael,

0:29:14.680 --> 0:29:17.280
<v Speaker 2>that this is a company that's making sure it's touting

0:29:17.520 --> 0:29:18.720
<v Speaker 2>its American connections.

0:29:19.080 --> 0:29:21.760
<v Speaker 6>So many companies, Tim McCarroll, are trying to get on

0:29:21.800 --> 0:29:23.800
<v Speaker 6>the right side of Trump in that sense, and in

0:29:23.920 --> 0:29:27.960
<v Speaker 6>this case, the facts may be conveniently aligned to whatever

0:29:28.160 --> 0:29:32.720
<v Speaker 6>Trump and the new administration may want to hear about

0:29:32.960 --> 0:29:37.960
<v Speaker 6>American companies buying from an American provider, namely in Vidio.

0:29:38.040 --> 0:29:40.800
<v Speaker 6>But of course, so many of Nvidia's chips are made

0:29:40.840 --> 0:29:44.640
<v Speaker 6>in Taiwan by TSMC, so that has to be another

0:29:44.840 --> 0:29:48.440
<v Speaker 6>area of concern for Jensen Wong as he hears Donald

0:29:48.440 --> 0:29:52.920
<v Speaker 6>Trump talk about potential tariffs on semiconductor imports. He hasn't

0:29:52.960 --> 0:29:55.680
<v Speaker 6>imposed him aet he hasn't really announced him yet, but

0:29:55.800 --> 0:29:58.160
<v Speaker 6>it is something that we are watching for in the

0:29:58.280 --> 0:30:01.360
<v Speaker 6>coming weeks, and of course, as it will be delivering

0:30:01.760 --> 0:30:06.040
<v Speaker 6>this address to Congress next Tuesday, evening, and that could

0:30:06.040 --> 0:30:08.640
<v Speaker 6>be a moment where we hear him talk in somewhat

0:30:08.720 --> 0:30:13.080
<v Speaker 6>more detail about this. Remember, the semiconductor supply chain is

0:30:13.240 --> 0:30:19.760
<v Speaker 6>so interconnected globally. You have foundries in Taiwan making chips

0:30:19.840 --> 0:30:22.680
<v Speaker 6>that are designed here in the US, and and so

0:30:22.880 --> 0:30:25.520
<v Speaker 6>all the production and design are happening in a lot

0:30:25.640 --> 0:30:29.280
<v Speaker 6>of different places. So when you see tariffs and export

0:30:29.400 --> 0:30:33.000
<v Speaker 6>controls imposed, you know, the trade flows and the impacts

0:30:33.160 --> 0:30:37.040
<v Speaker 6>really ricochet through the supply chain and all the way through.

0:30:37.640 --> 0:30:39.840
<v Speaker 6>You know, when you get to end use products like

0:30:40.200 --> 0:30:42.880
<v Speaker 6>computers and like cars, you know where we're going beyond

0:30:42.920 --> 0:30:45.120
<v Speaker 6>the data centers that we think of with Nvidio, But

0:30:45.600 --> 0:30:49.960
<v Speaker 6>speaking more broadly on the semiconductor sector, the ripple effect

0:30:50.080 --> 0:30:53.080
<v Speaker 6>through the supply chain will be really strong.

0:30:53.280 --> 0:30:53.600
<v Speaker 4>Michael.

0:30:53.720 --> 0:30:56.200
<v Speaker 3>And you know, certainly something you guys and you are,

0:30:56.440 --> 0:30:58.440
<v Speaker 3>you know, on top of on a regular basis in

0:30:58.520 --> 0:31:00.040
<v Speaker 3>terms of things coming out of the White Houspital. Do

0:31:00.120 --> 0:31:03.040
<v Speaker 3>you wonder about when it comes to ai and what

0:31:03.480 --> 0:31:06.720
<v Speaker 3>President Trump wants to see. Obviously he wants to protect

0:31:07.160 --> 0:31:10.520
<v Speaker 3>the US industry, the US chip industry, but so many

0:31:10.560 --> 0:31:13.680
<v Speaker 3>of these big tech companies here in the United States

0:31:13.720 --> 0:31:17.200
<v Speaker 3>are global players. It's a fine dance, right in terms

0:31:17.280 --> 0:31:21.680
<v Speaker 3>of their top line, their revenue, their growth. Yes, the

0:31:21.800 --> 0:31:25.040
<v Speaker 3>US market obviously important, but global markets are important as well.

0:31:25.880 --> 0:31:28.120
<v Speaker 6>That's a great point, Carol, because when you think about

0:31:28.240 --> 0:31:32.480
<v Speaker 6>one of the best known US chip companies, it also

0:31:32.640 --> 0:31:37.080
<v Speaker 6>happens to be one that is struggling existentially right now,

0:31:37.120 --> 0:31:40.600
<v Speaker 6>and that is Intel. And it has sales overseas, but

0:31:40.920 --> 0:31:46.040
<v Speaker 6>including in China. So any export restrictions, any move that

0:31:46.280 --> 0:31:49.640
<v Speaker 6>could affect its ability to do business in China could

0:31:49.760 --> 0:31:52.880
<v Speaker 6>be bad for Intel and in Vidia as well. You

0:31:52.960 --> 0:31:55.280
<v Speaker 6>know the You know, it's not like Nvidia has no

0:31:55.600 --> 0:32:00.320
<v Speaker 6>business in China, but the most sophisticated chips are or

0:32:00.440 --> 0:32:04.600
<v Speaker 6>off limits. Now the administration is wighing weather to lower

0:32:04.680 --> 0:32:09.760
<v Speaker 6>the threshold on those limits, making even less advanced ships

0:32:09.840 --> 0:32:13.320
<v Speaker 6>made by Nvidia and other makers too off limits for

0:32:13.480 --> 0:32:18.160
<v Speaker 6>Chinese buyers, barring a license of permission from the US

0:32:18.240 --> 0:32:21.040
<v Speaker 6>Commerce Department. So they are thinking about this, and we're

0:32:21.080 --> 0:32:24.000
<v Speaker 6>looking at a series of restrictions too, and these include

0:32:24.600 --> 0:32:28.440
<v Speaker 6>getting Japan and the Netherlands to get companies like Tokyo

0:32:28.520 --> 0:32:32.240
<v Speaker 6>Electron and ASML. These are the businesses that make the

0:32:32.400 --> 0:32:37.760
<v Speaker 6>semiconductor manufacturing equipment, these huge photo lithography machines that are

0:32:37.840 --> 0:32:41.120
<v Speaker 6>really finicky and expensive. What they want is they want

0:32:41.240 --> 0:32:46.840
<v Speaker 6>Japan and the Netherlands to limit maintenance of these machines

0:32:46.880 --> 0:32:49.520
<v Speaker 6>that have already been sold to China. You know, they're

0:32:49.560 --> 0:32:53.200
<v Speaker 6>looking at every which way to contain China in this area.

0:32:53.440 --> 0:32:54.840
<v Speaker 3>Michael, hang on for a second. I just want to

0:32:54.880 --> 0:32:57.400
<v Speaker 3>recap because we are seeing shares of Nvidia up about

0:32:57.440 --> 0:33:02.000
<v Speaker 3>two point two percent now in the postmarket trade, after

0:33:02.080 --> 0:33:05.360
<v Speaker 3>market trade. They've been bouncing around a lot gains and losses,

0:33:05.400 --> 0:33:07.840
<v Speaker 3>but it does look like they're kind of holding at

0:33:07.880 --> 0:33:10.800
<v Speaker 3>this level again, a two point two percent gain. Keep

0:33:10.840 --> 0:33:13.160
<v Speaker 3>in mind, I'm looking at our Ian King his reporting

0:33:14.080 --> 0:33:17.440
<v Speaker 3>and video giving solid quarterly results and a bullish revenue

0:33:17.480 --> 0:33:20.680
<v Speaker 3>forecast for the current period, even if the numbers didn't

0:33:20.760 --> 0:33:23.800
<v Speaker 3>reach the blowout level that some investors were banking on.

0:33:23.920 --> 0:33:26.680
<v Speaker 3>And of course we're waiting for some headlines tim here

0:33:27.040 --> 0:33:30.200
<v Speaker 3>as the call will get underway soon with the C

0:33:30.360 --> 0:33:32.560
<v Speaker 3>suite and Jensen Wong of Nvidia so big.

0:33:32.680 --> 0:33:35.040
<v Speaker 2>I think the big question that I have is how

0:33:35.120 --> 0:33:37.440
<v Speaker 2>much Insight will get And we don't know this yet, Michael,

0:33:37.480 --> 0:33:39.800
<v Speaker 2>but how much Insight will get on the call into

0:33:40.320 --> 0:33:46.239
<v Speaker 2>invidious relationship with China and to what extent restrictions are

0:33:46.360 --> 0:33:47.760
<v Speaker 2>set to affect the company.

0:33:49.360 --> 0:33:52.720
<v Speaker 6>And that is a key question for investors going into

0:33:52.800 --> 0:33:57.080
<v Speaker 6>this because when Deep Seek emerged onto the scene, and

0:33:57.200 --> 0:33:59.840
<v Speaker 6>remember Deep Seek was a trigger for the Trump administration

0:34:00.080 --> 0:34:04.080
<v Speaker 6>to think about tougher restrictions on Nvidia's chips, and it

0:34:04.200 --> 0:34:09.080
<v Speaker 6>was also an existential moment for in Vidia itself. You know,

0:34:09.200 --> 0:34:12.719
<v Speaker 6>Deepseeak was able to produce its chatbot on the cheap,

0:34:12.960 --> 0:34:16.800
<v Speaker 6>undermining this whole idea that hey, we need Manhattan Project

0:34:16.960 --> 0:34:21.600
<v Speaker 6>level CAPEX to be able to produce these breakthroughs in AI,

0:34:21.760 --> 0:34:24.560
<v Speaker 6>and of course to do that you need tons and

0:34:24.680 --> 0:34:29.839
<v Speaker 6>tons of Nvidia accelerators. Deep Seek raise questions about, well,

0:34:30.000 --> 0:34:33.920
<v Speaker 6>maybe we don't need quite so many work quite so much. Nonetheless,

0:34:34.000 --> 0:34:38.280
<v Speaker 6>we've seen the hyperscalers all, you know, reinforce their commitment

0:34:38.440 --> 0:34:42.120
<v Speaker 6>to heavy CAPEX tens and tens of billions of dollars

0:34:42.760 --> 0:34:45.880
<v Speaker 6>in plans for data centers and chip purchases.

0:34:46.360 --> 0:34:49.000
<v Speaker 3>All right, So appreciate being able to get this perspective

0:34:49.040 --> 0:34:50.440
<v Speaker 3>and roll it in. It's such a big part of

0:34:50.480 --> 0:34:53.880
<v Speaker 3>the Nvidia story. Michael Sheppard, thank you, as always, Senior

0:34:53.960 --> 0:34:57.400
<v Speaker 3>editor for Technology and Strategic Industries out there in our

0:34:57.440 --> 0:34:59.080
<v Speaker 3>Bloomberg News Bureau in DC,