The following is excerpted from the question-and-answer section of the transcript.
(Questions from industry analysts are provided in full, but answers are omitted - download the transcript to see the full question-and-answer session)
Question: Joe Moore - Morgan Stanley - Analyst
: So Fermi, maybe we could just start out. You have in a period where there's more enthusiasm for AI than we've ever seen. You guys have 60% of
revenues coming from edge AI. You put that into -- I mean, you didn't really call yourself an AI company in the beginning, although that's what it
clearly was even from that. So maybe you could just talk a little bit about what you guys do, and Edge AI world and how that fits into this overall
AI ecosystem.
Question: Joe Moore - Morgan Stanley - Analyst
: And this isn't like a trend following thing. I mean, this is a really true thing that the people doing image resolution in automotive, the incumbents
are still mostly using heuristic algorithms to do that. And you guys very early on adopted the fact that that AI software was the way to resolve this,
is that right? And can you just talk a little bit about that software approach that you have?
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MARCH 04, 2024 / 10:10PM, AMBA.OQ - Ambarella Inc at Morgan Stanley Technology, Media & Telecom
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Question: Joe Moore - Morgan Stanley - Analyst
: I have the problem too.
Question: Joe Moore - Morgan Stanley - Analyst
: So I mean, I think we define a lot of the AI opportunity today by training in the data center, which is not a market that you have pursued. And it
sounds like after some thinking about it, you're not pursuing inference in the data center either. So can you talk about the merits of what you are
doing in the markets that you're focused on?
Question: Joe Moore - Morgan Stanley - Analyst
: Okay. And then we've talked a lot about CV2 and CV3 over the last two or three years. But if you could put this kind of into perspective that now
we're looking at transformer inference in particular, some of the complexity of that. Can you talk about the role of CV2 which is your existing revenue
stream and then how CV3 evolves from there?
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MARCH 04, 2024 / 10:10PM, AMBA.OQ - Ambarella Inc at Morgan Stanley Technology, Media & Telecom
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Question: Joe Moore - Morgan Stanley - Analyst
: So maybe you could educate me a little bit on this, like in the sense of it seems like for a long time AI was focused on conversational neural nets.
And the inference task was was not simple, but more manageable. You didn't need even in cloud, you need $25,000 cards to do inference that you
migrate to transformer. And the inference task becomes several orders of magnitude more complex.
And suddenly we're using this very expensive hardware. And I think the same thing is happening at the edge. Can you just maybe explain a little
bit that transition?
Question: Joe Moore - Morgan Stanley - Analyst
: Great. That's very helpful. And so I guess the process of turning all of this into revenue, which has been a little lumpier along the way CV2, can you
talk about the growth profile that you still have? I mean, CV3, a lot of exciting opportunity, but still pretty far from revenue. But can you look at the
IoT market and the automotive market as kind of the CV2 opportunity?
Question: Joe Moore - Morgan Stanley - Analyst
: I apologize if this seems like negative meaning question I'm actually. I'm so enamored with the technology, and it's been hard to get to the revenue
level that I thought you'd be at. So that's why I'm explaining it this way. But if you look at surveillance. I mean there was a very clear growth trajectory
where you had video processing at a low ASP.
You're replacing it with a eye at a higher ASP. And you did do that. You did continue to ramp that, but you had more headwinds in the legacy than
I expected there to be. So maybe if you could just talk a little bit about that transition within surveillance and you mentioned how you can see that
continuing to move forward, right? You've gotten past some impact to inventory correction, which we don't need to rehash, but can we just
understand the bigger picture opportunity evolving?
Question: Joe Moore - Morgan Stanley - Analyst
: If you do the work or the technology, it really got like everybody that you talk to talks about the breakthrough capability that you have, particularly
with the right power envelope and things like that. So how much of that automotive problem that you talk about is the evolution of aid us in
general being a little slower.
It seems like the focus has been on battery-powered EV, that a lot of the innovation kind of got siphoned away and even now. I mean, you have
these wins that you talked about with Continental and Bosch, which for anybody who hasn't seen them, you should see them at CES both of the
last two years, you really intricate kind of 12 camera demos and things like that. But, you know, the timeframe of that being implemented in cars
seems to have been pushed back so I know that's in your control, but how do you think about those dynamics?
Question: Joe Moore - Morgan Stanley - Analyst
: Yeah. And you talked about China, when you say the focus has shifted to L2+. Is that also a comment on the Chinese market? And then just in
general, it seems like the regulatory environment in China is much more pragmatic, it's is it safer than a human driver versus in the US, it needs to
be completely safe.
Question: Joe Moore - Morgan Stanley - Analyst
: And it's really interesting. I was looking I went to the Qualcomm automotive day a year or so ago, and they talked about the August progress
knocking out Mobileye from some key accounts which sit on publicly, and they did that without really showing any technology breakthrough. And
I actually ask them how are you knocking out an incumbent without a technology breakthrough.
And the answer is kind of people want seamless integration with the infotainment system and they want it to look like an Android phone. So people
don't just turn this over to [CarPlay] and things like that, which is kind of a depressing answer to me a little bit because it sort of says that the market
the evolution has really slow down. So like do you see that changing at the promise of L3 or L4 is still really exciting to me? And is it really a regulatory
environment enough just to sort of keep that from ever happening?
Question: Joe Moore - Morgan Stanley - Analyst
: Great. And then you mentioned radar. Maybe you could talk a little bit about Oculii, the acquisition that you guys did, which seems like it's potentially
a breakthrough in terms of implementation of a radar. Can you talk about what traction you're seeing with that?
Question: Joe Moore - Morgan Stanley - Analyst
: I mean, it seems like it's a no-brainer to implement radar that way, when you describe it?
Question: Joe Moore - Morgan Stanley - Analyst
: Okay. So I guess in that context, you know, how do you guys think about about LiDAR? Obviously, it's lower L3 or L4 less later anyway, but are you
still approaching Is there still some sensor integration has to take in light or do you think that LiDAR plus optical is adequate?
Question: Joe Moore - Morgan Stanley - Analyst
: Great. And maybe you could talk a little bit about -- the progress that you're seeing in automotive today, we talked about 3 or 4. But you obviously
have driver monitoring, digital rearview mirrors things you've been talking about a while? Where you're monetizing those?
Question: Joe Moore - Morgan Stanley - Analyst
: Okay. And then in terms of your traditional IoT markets, can you characterize, you know, we've gone through an inventory correction that you
talked about. It feels like we're through it. It feels like you guys saw it before, others and kind of have emerged from it before. Others, but you're
still kind of along the bottom, right. So can you just talk can you characterize that for us? And do you think you have enough visibility to sort of
feel really good about the growth from here.
Question: Joe Moore - Morgan Stanley - Analyst
: Yes, then I would think I mean, the the fact that some of the peers have really struggled would actually help the sentiment for you guys talk a little
bit.
I hope we saw I mean, companies like Silicon Laboratories saw a lot of the same issues that you saw later on. So okay, that makes sense. And then
where are you with us consumer surveillance, that's a market that seems like a lot of these AI features would really be relevant, but it's also really
expensive for cameras at those price points. So can you talk about that?
Question: Joe Moore - Morgan Stanley - Analyst
: And when you say the lost market share. I mean is that you still have some of the premium designs and the top doorbells, things like that you guys
are still --
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MARCH 04, 2024 / 10:10PM, AMBA.OQ - Ambarella Inc at Morgan Stanley Technology, Media & Telecom
Conference
Question: Joe Moore - Morgan Stanley - Analyst
: Okay, So you've the consumer surveillance that has some potential professional surveillance. You're past the bottom of the inventory correction
with a good ASP lift. And then in cars, you're seeing a lift from some of the CV2 designs and then CV3 is more 2026. Is that the right timeframe to
think about?
Question: Joe Moore - Morgan Stanley - Analyst
: Okay. Okay. In your visibility into that at this point is good. I mean, when you I know you have a funnel, we could talk about how the funnel is
derived from. I know you have some probability weighted. What's your probability weighting on some of you have any of those that are moving
into the high probability at this point?
Question: Joe Moore - Morgan Stanley - Analyst
: So I mean, you have you're talking about less than $100 million of trailing automotive revenue, a six year funnel of $2.4 billion which includes a fair
amount of probability weighted stuff in the back half of that section?
Question: Joe Moore - Morgan Stanley - Analyst
: Yeah. Okay. Okay, great. And then can we talk about other opportunities for outside of vision? You've not going to participate in cloud-based
inference, but you've talked about inference at the edge, what does that mean and what what types of LLM types of opportunities might you see
that Ambarella could participate in?
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MARCH 04, 2024 / 10:10PM, AMBA.OQ - Ambarella Inc at Morgan Stanley Technology, Media & Telecom
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Question: Joe Moore - Morgan Stanley - Analyst
: Okay, great. And then what other video applications you see? I mean, you talked about access markets, you talked about robotics market, which
are those are you most excited about?
Question: Joe Moore - Morgan Stanley - Analyst
: So do you have a question from the audience?
Unidentified Participant
Yeah, I wanted to get some clarification on your comments about inferencing at the edge and going on beyond existing video centric. You've
mentioned power consumption, latency and privacy of data. What exactly would use case and appointment of systems are you are you referring
to are you putting these into decided servers or what are they sitting next to give to build the detail out up --
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MARCH 04, 2024 / 10:10PM, AMBA.OQ - Ambarella Inc at Morgan Stanley Technology, Media & Telecom
Conference
Question: Joe Moore - Morgan Stanley - Analyst
: And it seems like it's a very focused effort on things that you can do without things that you're going to be particularly good at that you don't have
to invest hundreds of millions of dollars to compete with?
Question: Joe Moore - Morgan Stanley - Analyst
: So that chip is essentially the CV3 with some of the automotive stuff stripped out of it?
Question: Joe Moore - Morgan Stanley - Analyst
: Okay. Yes. Any other questions from audience? Can I actually ask a financial question and with the non-financial motivation, but your gross margins
have always been really high and you always have legacy revenue. It seems like that's a little bit of a headwind. Have you thought about sacrificing
some gross margin to preserve some of that. Is that a trade-off that you guys could make?
Question: Joe Moore - Morgan Stanley - Analyst
: So we're not hamstrung by a low 60s gross margin loans.
Question: Joe Moore - Morgan Stanley - Analyst
: Yeah. Okay. With that, we'll wrap it up and thank you very much.
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