Zhenzhu (Jinzhu) Wu

speaker

420 appearances 1 recordings 1 series first heard Jul 2026 last heard 13 Jul

Zhenzhu (Jinzhu) Wu’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.

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Decoder with Nilay Patel · Yes, even Nvidia's head of automotive is fighting for compute · 13 Jul 2026 podcast

It has a, basically, the nature of the business, it will kind of slow, slow things down a bit.

And that's one.

And the other thing is basically because of the technology is changing so fast from, let's say, the, um,

The automotive, as we know before, and to software-defined vehicle, to AI-defined vehicle, you have to go through almost like a different talent pool to be able to set up the company in proper way to adapt to this new wave of technology innovations.

And that's why NVIDIA can come in and help essentially, right?

Because we believe the technology is getting to, you know, we're talking about autonomous vehicle, obviously, you know, mainly here.

The technology is getting to a level of maturity and we are going to take in this technology to mass production and the supplier can come in.

And that's why we are not only, you know, provide the AV technology, but we are providing the whole, basically,

platform, starting from obviously a chip, but also to operating system, also to open source model, and also to what we call the halos, the safety kind of operating system to help the OEM to be able to adapt to this new world faster.

And the nature of the business is basically not everybody can run at the same speed.

So for sure.

And it will take some time, obviously, for everybody to get to the finish line.

But again, my job in NVIDIA is to try to help everybody to get to this, everything that moves that will be autonomous, this kind of vision as soon as possible.

We have actually quite a sizable team, somewhere between, it's in the order of thousands, essentially, in the automotive team.

But it's a pretty, again, because we are working on the whole platform, so there's hardware, software, and model, and the infrastructure, so it's a pretty sizable team.

And also, we have a lot of things we can leverage from the other teams as well.

For example, we have, I'm pretty sure you heard about Cosmos,

And Nemotron, these are our basic open source foundation models.

We're leveraging heavily from work from their side as well.

Yes, I would.

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