1
00:00:02,520 --> 00:00:07,080
Speaker 1: Bloomberg Audio Studios, Podcasts, radio News.

2
00:00:07,400 --> 00:00:09,520
Speaker 2: So we did talk about AI there with Kate a

3
00:00:09,520 --> 00:00:12,639
Speaker 2: little bit in a broader conversation. It is a very

4
00:00:12,680 --> 00:00:15,800
Speaker 2: big theme for us on this Tuesday. This says we

5
00:00:15,840 --> 00:00:19,520
Speaker 2: are seeing shares of Nokia ADR soaring our news today

6
00:00:19,920 --> 00:00:22,120
Speaker 2: on the news that Nvidia plans to make a one

7
00:00:22,160 --> 00:00:25,760
Speaker 2: billion dollar equity investment in Nokia. It's an apparent vindication

8
00:00:25,840 --> 00:00:29,200
Speaker 2: of the finished company's pivot from mobile networking kit into

9
00:00:29,480 --> 00:00:34,480
Speaker 2: artificial intelligence by the sector's kingmaker. We've got all the details.

10
00:00:33,960 --> 00:00:37,280
Speaker 1: And in Vidio and Video CEO Jensen Wong, he's the

11
00:00:37,320 --> 00:00:40,000
Speaker 1: co founder, president CEO of Nvidia. He's sitting down right

12
00:00:40,000 --> 00:00:43,360
Speaker 1: now with Justin Hothard, President and CEO of Nokia, along

13
00:00:43,400 --> 00:00:46,720
Speaker 1: with Bloomberg Tech co host ed Ludlow Take it Away, Ed.

14
00:00:47,479 --> 00:00:51,760
Speaker 3: Wow, fantastic, Thank you team, Jensen. I'll start with you

15
00:00:51,800 --> 00:00:54,160
Speaker 3: if I may. I want to try and understand something

16
00:00:54,200 --> 00:00:57,760
Speaker 3: you mentioned very briefly, which is the strategic importance of

17
00:00:57,840 --> 00:01:01,600
Speaker 3: not just the equity state partnership on technology, and not

18
00:01:01,720 --> 00:01:04,360
Speaker 3: just for Nvidia, but for America. Why are you moving

19
00:01:04,400 --> 00:01:05,160
Speaker 3: into this domain?

20
00:01:05,600 --> 00:01:05,959
Speaker 4: One?

21
00:01:06,520 --> 00:01:10,520
Speaker 5: We announced a brand new platform for a new market.

22
00:01:10,520 --> 00:01:12,880
Speaker 5: We've never been in and so that's number one. Number two,

23
00:01:13,600 --> 00:01:16,960
Speaker 5: if we take advantage of this transition from general purpose

24
00:01:17,000 --> 00:01:21,240
Speaker 5: computing to accelerated computing, from old types of all types

25
00:01:21,280 --> 00:01:23,680
Speaker 5: of software to AI, we can take advantage of this

26
00:01:23,720 --> 00:01:27,280
Speaker 5: transition of AI and six G for America to win

27
00:01:27,440 --> 00:01:31,039
Speaker 5: back telecommunications again. It's been a long time since the

28
00:01:31,120 --> 00:01:34,120
Speaker 5: American telecommunication network has been built on American technology.

29
00:01:34,440 --> 00:01:36,280
Speaker 4: Way national security, I believe for.

30
00:01:36,319 --> 00:01:39,120
Speaker 5: National security reasons, for economic reasons, our industry should be

31
00:01:39,160 --> 00:01:41,399
Speaker 5: built on American technology. And for the very first time,

32
00:01:41,440 --> 00:01:43,240
Speaker 5: we can do that. We have a brand new product

33
00:01:43,280 --> 00:01:46,560
Speaker 5: line that takes advantage of computing, accelerated computing and AI,

34
00:01:47,000 --> 00:01:49,360
Speaker 5: and we have a great partner to help us deal

35
00:01:49,360 --> 00:01:50,080
Speaker 5: it with Nokia.

36
00:01:51,040 --> 00:01:54,440
Speaker 3: The market reaction kind of speaks for itself. There was

37
00:01:54,440 --> 00:01:57,880
Speaker 3: a time where Nokia was already looking to America. You've

38
00:01:57,880 --> 00:01:59,960
Speaker 3: been in the role since April, But may I stop

39
00:02:00,080 --> 00:02:03,160
Speaker 3: asking you what role the administration played in bringing you

40
00:02:03,200 --> 00:02:06,720
Speaker 3: both together? If this is indeed a strategic priority, I.

41
00:02:06,720 --> 00:02:09,400
Speaker 6: Don't think there was anything specific that the administration did

42
00:02:09,840 --> 00:02:13,320
Speaker 6: other than they've created the environment to support innovation. I mean,

43
00:02:13,400 --> 00:02:16,040
Speaker 6: Jensen's talked about manufacturing, but it's also about R and

44
00:02:16,120 --> 00:02:20,000
Speaker 6: D and innovation and technology leadership. And if you think

45
00:02:20,040 --> 00:02:22,799
Speaker 6: about where this world is going and all those incredible

46
00:02:22,800 --> 00:02:26,120
Speaker 6: devices are going to be built on in video platforms, robotics,

47
00:02:26,160 --> 00:02:30,720
Speaker 6: autonomous vehicles, augmented reality, virtual reality, we need a different

48
00:02:30,800 --> 00:02:33,520
Speaker 6: kind of network in the future. And that's what we realized,

49
00:02:33,840 --> 00:02:36,080
Speaker 6: and that's why we wanted to forge this partnership so

50
00:02:36,120 --> 00:02:41,799
Speaker 6: that we're building a network leveraging AI for AI services

51
00:02:41,880 --> 00:02:43,359
Speaker 6: and that's really the big change here.

52
00:02:43,680 --> 00:02:45,280
Speaker 4: The technology is flowing both ways.

53
00:02:45,320 --> 00:02:46,640
Speaker 3: I mean, what is it that you will be able

54
00:02:46,680 --> 00:02:49,520
Speaker 3: to do with Nokia Jensen un't able to do on

55
00:02:49,560 --> 00:02:49,920
Speaker 3: your own.

56
00:02:50,120 --> 00:02:53,240
Speaker 5: Well, first of all, Nokia is in all of the

57
00:02:53,240 --> 00:02:56,880
Speaker 5: world's base stations, and this air scale platform of Nokia's

58
00:02:56,960 --> 00:02:59,639
Speaker 5: millions of base stations around the world. If our computers

59
00:02:59,639 --> 00:03:02,080
Speaker 5: are not inside that base station doesn't help. It's no

60
00:03:02,120 --> 00:03:05,079
Speaker 5: different than in videos tech computing platforms not inside a car,

61
00:03:05,160 --> 00:03:07,160
Speaker 5: it doesn't help. And so the first thing is we

62
00:03:07,240 --> 00:03:09,600
Speaker 5: need a partner to get us into the world's base stations.

63
00:03:10,040 --> 00:03:14,680
Speaker 5: We also remember we're bringing AI to radio networks, AI

64
00:03:14,720 --> 00:03:18,120
Speaker 5: to RAM so that we can make wireless tech communications

65
00:03:18,160 --> 00:03:22,200
Speaker 5: a lot more efficient. Second, we're bringing AI for the radio,

66
00:03:22,280 --> 00:03:25,560
Speaker 5: meaning on top of these radio networks and these telecommunication

67
00:03:25,840 --> 00:03:28,359
Speaker 5: network we're going to be able to provide AI services,

68
00:03:28,639 --> 00:03:30,120
Speaker 5: which is going to be able to make it easier

69
00:03:30,160 --> 00:03:33,160
Speaker 5: for us to do robotics and autonomous vehicles and industrial

70
00:03:33,200 --> 00:03:36,920
Speaker 5: automation and reach all of the different places around the world.

71
00:03:37,080 --> 00:03:40,280
Speaker 5: That's kind of hard to deal with Wi Fi, cellular reads, everything,

72
00:03:40,760 --> 00:03:43,560
Speaker 5: and so we now have this fabric that we can

73
00:03:43,800 --> 00:03:48,360
Speaker 5: deploy AI computing services on top of it. It's going

74
00:03:48,400 --> 00:03:50,600
Speaker 5: to be completely revolutionary in.

75
00:03:50,520 --> 00:03:54,600
Speaker 3: Your world and in your market. Huawei is an influential player,

76
00:03:54,880 --> 00:03:56,720
Speaker 3: not just in Europe. I think also about the Middle

77
00:03:56,760 --> 00:04:01,920
Speaker 3: East and Africa. How important is the relationship with Nvidia

78
00:04:02,240 --> 00:04:05,040
Speaker 3: to be able to counter, you know, what Huawei does

79
00:04:05,040 --> 00:04:05,960
Speaker 3: in those markets.

80
00:04:06,600 --> 00:04:08,800
Speaker 6: Yeah. Look, I think for us, one of the principles

81
00:04:08,840 --> 00:04:10,640
Speaker 6: I've had with my team since coming in has been

82
00:04:11,200 --> 00:04:13,400
Speaker 6: do what we can do that no one else can do,

83
00:04:13,800 --> 00:04:15,920
Speaker 6: and that is air scale what we do with any

84
00:04:16,000 --> 00:04:18,000
Speaker 6: RAND software, the software that runs on it that we're

85
00:04:18,000 --> 00:04:21,080
Speaker 6: going to be putting on on the Nvidia ARC platform,

86
00:04:21,680 --> 00:04:24,040
Speaker 6: that do what we can do well and partner with

87
00:04:24,080 --> 00:04:26,640
Speaker 6: the best everywhere else. And this is a this is

88
00:04:26,680 --> 00:04:29,840
Speaker 6: a clear opportunity to partner with the best, and by

89
00:04:29,839 --> 00:04:33,640
Speaker 6: the way, that's where America and the Western world succeeds

90
00:04:33,880 --> 00:04:37,520
Speaker 6: because we don't necessarily have one company doing everything like Huawei.

91
00:04:37,760 --> 00:04:40,919
Speaker 6: We succeed because we partner aggressively. And you if you

92
00:04:40,920 --> 00:04:43,479
Speaker 6: watch GTT today, it was hard to not find it

93
00:04:43,520 --> 00:04:46,960
Speaker 6: obvious that you're partnering with everybody. But that's the advantage

94
00:04:47,040 --> 00:04:49,719
Speaker 6: is this partnership. So we do what we do best,

95
00:04:50,000 --> 00:04:52,000
Speaker 6: we let in Video do what they do best, and

96
00:04:52,080 --> 00:04:56,080
Speaker 6: ultimately our customers win, and ultimately for America. I think

97
00:04:56,080 --> 00:04:58,479
Speaker 6: America will win because there'll be more innovation faster.

98
00:04:58,760 --> 00:05:02,640
Speaker 5: Nobody knows telecommunity locations better than Nokia. They've been at

99
00:05:02,680 --> 00:05:04,440
Speaker 5: it for a long time. They're all over the world.

100
00:05:04,760 --> 00:05:08,440
Speaker 5: And between our two partnerships, we know how wireless total communications.

101
00:05:08,960 --> 00:05:12,640
Speaker 5: We have AI, and we have accelerated computing all in

102
00:05:12,680 --> 00:05:15,520
Speaker 5: this partnership, and so all of that capability is going

103
00:05:15,560 --> 00:05:17,960
Speaker 5: to be brought to bear for the next generation of

104
00:05:18,000 --> 00:05:20,520
Speaker 5: six G and I think that's a this is a

105
00:05:20,760 --> 00:05:22,920
Speaker 5: this is the capabilities we bring together, and this partnership

106
00:05:22,960 --> 00:05:26,000
Speaker 5: is quite unique and informatible, inform formidable.

107
00:05:26,120 --> 00:05:28,800
Speaker 3: Why was it important Jensen that Nvidia ends up with

108
00:05:28,960 --> 00:05:30,600
Speaker 3: almost three percent of Nokia.

109
00:05:30,720 --> 00:05:32,160
Speaker 4: What was the rationale behind that?

110
00:05:32,600 --> 00:05:35,640
Speaker 5: The work that we're doing is so intensive and quite frankly,

111
00:05:35,680 --> 00:05:38,160
Speaker 5: I was so optimistic about it and so excited about it,

112
00:05:38,520 --> 00:05:41,120
Speaker 5: and that we wanted to invest in Nokia so that

113
00:05:41,160 --> 00:05:43,840
Speaker 5: we could be part, you know, of this incredible success

114
00:05:43,839 --> 00:05:45,760
Speaker 5: that we're creating together. And I got to tell you

115
00:05:45,800 --> 00:05:47,120
Speaker 5: that that move was pretty genius.

116
00:05:47,120 --> 00:05:50,039
Speaker 3: Once you say, that's not for me to come correct,

117
00:05:50,120 --> 00:05:52,560
Speaker 3: what I'd observe is, you know, twenty five percent jump

118
00:05:52,640 --> 00:05:56,080
Speaker 3: in the ADRs, what does that signal to you? You know?

119
00:05:56,160 --> 00:05:59,359
Speaker 3: In video with respect Gensen, I've known to be about speed.

120
00:05:59,880 --> 00:06:02,640
Speaker 3: Is that giving you a technology that you wouldn't otherwise have?

121
00:06:02,839 --> 00:06:05,080
Speaker 3: Or and have you now a way of just moving faster?

122
00:06:05,640 --> 00:06:09,360
Speaker 6: Yeah? It's both. I mean there's obviously you know, there's

123
00:06:09,400 --> 00:06:11,240
Speaker 6: no way we're going to have in videos technology and

124
00:06:11,279 --> 00:06:14,359
Speaker 6: accelerated computing. I mean, the Kuda software stack, all of

125
00:06:14,400 --> 00:06:17,599
Speaker 6: the capabilities, even the fundamentals of what's in area. The

126
00:06:17,640 --> 00:06:21,279
Speaker 6: software stack that in video is built is an accelerator

127
00:06:21,320 --> 00:06:23,960
Speaker 6: for us. And then it's about speed because now we

128
00:06:24,000 --> 00:06:26,559
Speaker 6: can innovate much faster. And for us, it's that shift

129
00:06:26,600 --> 00:06:29,719
Speaker 6: into adding value in software and thinking more like a

130
00:06:29,760 --> 00:06:31,960
Speaker 6: software company, or really not like a software company, like

131
00:06:32,000 --> 00:06:34,479
Speaker 6: an application company that's going to use AI and AI

132
00:06:34,560 --> 00:06:37,880
Speaker 6: models to continue to innovate and move faster. And I

133
00:06:37,880 --> 00:06:40,359
Speaker 6: think the market recognizes that this is the kind of

134
00:06:40,400 --> 00:06:43,400
Speaker 6: innovation that this industry is needed. Look, this industry has

135
00:06:43,440 --> 00:06:46,760
Speaker 6: a history. Three G. We were building better voice networks

136
00:06:46,800 --> 00:06:49,640
Speaker 6: when the Internet was getting started. Four G, five G

137
00:06:49,800 --> 00:06:52,800
Speaker 6: we were building data networks behind where the market was.

138
00:06:52,839 --> 00:06:55,040
Speaker 6: And today five G when you look at it globally,

139
00:06:55,400 --> 00:06:58,760
Speaker 6: is still only partially deployed. So as you look ahead,

140
00:06:58,800 --> 00:07:01,200
Speaker 6: in order to innovate, got to move much faster, and

141
00:07:01,240 --> 00:07:03,839
Speaker 6: we need to enable our customers to have different and

142
00:07:03,880 --> 00:07:04,640
Speaker 6: better technology.

143
00:07:04,680 --> 00:07:07,360
Speaker 5: And with this partnership, all of a sudden, speaking of speed,

144
00:07:07,600 --> 00:07:09,760
Speaker 5: we're in Blackwell today. It's going to go to Reuben,

145
00:07:09,920 --> 00:07:11,640
Speaker 5: it's going to go Findman, and it's going to go

146
00:07:11,680 --> 00:07:14,440
Speaker 5: on a clip that basically is at the speed of light.

147
00:07:14,520 --> 00:07:16,680
Speaker 4: And I'm going to ask you to clarify something. Jensen.

148
00:07:16,800 --> 00:07:18,120
Speaker 4: You showed a slide.

149
00:07:17,840 --> 00:07:21,160
Speaker 3: Behind you five hundred billion dollars over what I think

150
00:07:21,240 --> 00:07:26,200
Speaker 3: illustrated six financial quarters, but twenty million Blackwell five financial quarters,

151
00:07:26,240 --> 00:07:30,000
Speaker 3: five financial quarters does that figure include networking. We know

152
00:07:30,080 --> 00:07:33,640
Speaker 3: it doesn't include China because it seemed to be technically

153
00:07:33,680 --> 00:07:36,200
Speaker 3: above consensus, right, But you seem to be suggesting that

154
00:07:36,280 --> 00:07:39,760
Speaker 3: there is near term actually an acceleration beyond what you

155
00:07:39,800 --> 00:07:40,520
Speaker 3: were expecting.

156
00:07:41,080 --> 00:07:43,920
Speaker 5: All of that was only data center, justin That's the

157
00:07:43,960 --> 00:07:45,960
Speaker 5: amazing thing. All of that is only data center. Today

158
00:07:45,960 --> 00:07:50,160
Speaker 5: we are now several new platforms, the Nvidia Drive Hyperium platform,

159
00:07:50,400 --> 00:07:54,040
Speaker 5: our Arc platform, our Quantum platform. None of that is

160
00:07:54,080 --> 00:07:57,480
Speaker 5: included in that half a trillion dollars. No networking, no

161
00:07:57,600 --> 00:08:01,160
Speaker 5: networking whatsoever. Well, that's data centers networking and Vida networking

162
00:08:01,200 --> 00:08:04,960
Speaker 5: for data centers, but not wireless networking, not wireless telecommunications.

163
00:08:05,040 --> 00:08:07,560
Speaker 3: When do we see a real world manifestation of the

164
00:08:07,560 --> 00:08:09,080
Speaker 3: work that you're both getting to do together.

165
00:08:09,280 --> 00:08:11,280
Speaker 6: Yeah, there's there's work going already. You can see a

166
00:08:11,280 --> 00:08:13,920
Speaker 6: demo actually at the booth here in GtC. You can.

167
00:08:14,040 --> 00:08:17,440
Speaker 6: You'll also see customer trials early next year, and then

168
00:08:17,480 --> 00:08:21,160
Speaker 6: we think in full commercial production in twenty seven. And

169
00:08:21,280 --> 00:08:23,680
Speaker 6: you know the great thing about the partnership with Jensen

170
00:08:23,720 --> 00:08:25,320
Speaker 6: is I know he'll be pushing me to go faster,

171
00:08:25,440 --> 00:08:27,600
Speaker 6: which and I'll be pushing his team to go faster

172
00:08:27,680 --> 00:08:29,680
Speaker 6: and together that means that we can get to market

173
00:08:30,040 --> 00:08:32,400
Speaker 6: as soon as as soon as practical for our customer.

174
00:08:32,480 --> 00:08:35,719
Speaker 5: ARC is backwards compatible with air Scale, right, and all

175
00:08:35,760 --> 00:08:38,280
Speaker 5: of those millions of base stations could be upgraded to

176
00:08:38,400 --> 00:08:39,760
Speaker 5: six G and AI.

177
00:08:40,760 --> 00:08:43,800
Speaker 3: On six G though right, like we're grawing standards just

178
00:08:43,840 --> 00:08:46,400
Speaker 3: as simple, Yes or no question. Really is the six

179
00:08:46,480 --> 00:08:49,000
Speaker 3: G timeline accelerated because of this partnership.

180
00:08:49,120 --> 00:08:51,160
Speaker 6: I think it is because what you can actually do

181
00:08:51,240 --> 00:08:53,760
Speaker 6: now is you know exactly to what Jensen said you

182
00:08:53,800 --> 00:08:56,680
Speaker 6: can you can deploy with ARC, and then if something happens,

183
00:08:56,720 --> 00:09:00,400
Speaker 6: or the standard evolves, or you know, or there's there's change,

184
00:09:00,840 --> 00:09:03,200
Speaker 6: it'll just be a software model update that we deploy

185
00:09:03,200 --> 00:09:05,920
Speaker 6: in applications. It's a completely different model than what we're

186
00:09:06,000 --> 00:09:08,440
Speaker 6: used to back in the days of deploying these complex

187
00:09:08,480 --> 00:09:12,719
Speaker 6: integrated legacy appliances. It's general purpose accelerated computing. And that's

188
00:09:12,720 --> 00:09:15,000
Speaker 6: why we think it's so compelling. If the standards change,

189
00:09:15,000 --> 00:09:17,400
Speaker 6: you got to go fix a chip. If the standards change,

190
00:09:17,400 --> 00:09:20,400
Speaker 6: you're justin. I just upgrade the software, the Kuda software.

191
00:09:20,440 --> 00:09:22,360
Speaker 6: That's the amazing thing, Jensen.

192
00:09:22,720 --> 00:09:24,680
Speaker 4: You are traveling onwards now to Asia.

193
00:09:25,640 --> 00:09:27,520
Speaker 3: I don't know what your schedule is for the jet

194
00:09:27,559 --> 00:09:29,040
Speaker 3: and I don't know if you and the President will

195
00:09:29,080 --> 00:09:30,560
Speaker 3: be at the same place at the same time. He

196
00:09:30,600 --> 00:09:32,959
Speaker 3: seemed to think you would be. But the main point

197
00:09:33,160 --> 00:09:35,440
Speaker 3: is is that you're here in Washington, DC. We're a

198
00:09:35,440 --> 00:09:37,720
Speaker 3: few blocks from the White House. You called it the

199
00:09:37,760 --> 00:09:40,520
Speaker 3: AI super Bowl. Others called it that too, But everyone

200
00:09:40,600 --> 00:09:44,280
Speaker 3: is inferring from this that this was about all of

201
00:09:44,280 --> 00:09:47,040
Speaker 3: the things we talked about all year, that you want

202
00:09:47,040 --> 00:09:50,640
Speaker 3: to be closely aligned with this administration and while in Asia,

203
00:09:51,160 --> 00:09:53,240
Speaker 3: that there is something that the President needs to work

204
00:09:53,280 --> 00:09:56,800
Speaker 3: on in the context of China trade negotiations. Whether you

205
00:09:56,840 --> 00:09:58,320
Speaker 3: get to meet him or not, what is it that

206
00:09:58,360 --> 00:10:01,400
Speaker 3: you need the president to do. From Nvidia to accelerate

207
00:10:01,440 --> 00:10:02,040
Speaker 3: on its plans.

208
00:10:02,400 --> 00:10:05,120
Speaker 5: We need the president to do what's right for America,

209
00:10:05,160 --> 00:10:07,160
Speaker 5: and I'm certain he's going to go do that. The

210
00:10:07,200 --> 00:10:10,480
Speaker 5: reason why we're here is because technology is now so

211
00:10:10,559 --> 00:10:13,800
Speaker 5: important in politics and geopolitics. It is the single most

212
00:10:13,800 --> 00:10:17,360
Speaker 5: important industry in America. It is our national treasure, and

213
00:10:18,120 --> 00:10:21,760
Speaker 5: it's important for us to make sure that Washington, DC

214
00:10:22,040 --> 00:10:24,480
Speaker 5: and the policy makers and all of the people who

215
00:10:24,559 --> 00:10:28,840
Speaker 5: serve our country to make it great understands the technology

216
00:10:28,880 --> 00:10:30,440
Speaker 5: as it stands today and where we're going to go

217
00:10:30,520 --> 00:10:32,839
Speaker 5: and the companies that matter to us, so that we

218
00:10:32,880 --> 00:10:39,920
Speaker 5: can make America great. And so that was the primary reason. Well,

219
00:10:40,000 --> 00:10:42,680
Speaker 5: first of all, whenever there's an opportunity to see the President,

220
00:10:42,920 --> 00:10:46,680
Speaker 5: I always love that he's incredibly engaging, He always learning,

221
00:10:46,880 --> 00:10:49,320
Speaker 5: and he wants to help America win. He wants America

222
00:10:49,360 --> 00:10:49,600
Speaker 5: to win.

223
00:10:49,800 --> 00:10:52,480
Speaker 3: This is my final question. I was trying to interpret

224
00:10:52,520 --> 00:10:55,280
Speaker 3: what you were saying. It was a detailed presentation, but

225
00:10:55,400 --> 00:10:57,880
Speaker 3: you talked about how AI is now worth paying for.

226
00:10:58,679 --> 00:11:02,000
Speaker 3: You talked about the end or not of Moore's law,

227
00:11:02,240 --> 00:11:04,360
Speaker 3: depending on your point of view, but the need to

228
00:11:04,440 --> 00:11:08,079
Speaker 3: scale to meet demand. Was that you saying we are

229
00:11:08,240 --> 00:11:09,840
Speaker 3: not in an AI bubble.

230
00:11:10,760 --> 00:11:12,480
Speaker 5: I don't believe we're in an AI bubble, and the

231
00:11:12,520 --> 00:11:15,839
Speaker 5: reason for that is we're going through a natural transition

232
00:11:16,440 --> 00:11:19,360
Speaker 5: from an old computing model based on general purpose computing

233
00:11:19,400 --> 00:11:23,880
Speaker 5: to accelerated computing. We also know that AI has now

234
00:11:23,960 --> 00:11:27,760
Speaker 5: become good enough because of reasoning capability, research capabilities, its

235
00:11:27,800 --> 00:11:31,360
Speaker 5: ability to think. It's now generating tokens and now generating

236
00:11:31,400 --> 00:11:35,320
Speaker 5: intelligence that's worth paying for, to the point where I'm

237
00:11:35,360 --> 00:11:38,319
Speaker 5: paying lots of it. Cursor is all over in video.

238
00:11:38,440 --> 00:11:40,360
Speaker 5: Every single one of our engineers use it. We pay

239
00:11:40,440 --> 00:11:42,200
Speaker 5: lots and lots of money for it, and we're delighted

240
00:11:42,200 --> 00:11:44,760
Speaker 5: to do it. And curser' is just one of the applications.

241
00:11:45,040 --> 00:11:49,960
Speaker 4: You know, what is it?

242
00:11:50,080 --> 00:11:54,760
Speaker 5: Eleven eleven eleven tech I forget. But anyways, all of

243
00:11:54,800 --> 00:11:57,559
Speaker 5: these different AI models that we're using, we're using plenty

244
00:11:57,559 --> 00:12:00,160
Speaker 5: of services and paying, paying, happily doing.

245
00:12:00,960 --> 00:12:04,520
Speaker 3: Justin Hotard, the Nokia CEO, Jensen Wang, Nvidia CEO, and

246
00:12:04,559 --> 00:12:06,760
Speaker 3: our host here in Washington, d C, thank you both

247
00:12:06,840 --> 00:12:07,240
Speaker 3: very much.

248
00:12:07,679 --> 00:12:08,280
Speaker 4: Back to you.

249
00:12:10,520 --> 00:12:13,640
Speaker 2: That of course was Bloomberg, co host of b Tech

250
00:12:14,080 --> 00:12:17,640
Speaker 2: Ed Ludlow there at the GtC Nvidia event in Washington,

251
00:12:17,720 --> 00:12:21,400
Speaker 2: d C, along with the CEO of Nvidia Jensen Wang,

252
00:12:21,520 --> 00:12:25,720
Speaker 2: and of course also there with the CEO of Nvidia,

253
00:12:25,760 --> 00:12:25,840
Speaker 2: the