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

So it's also quite inspiring basic experience as well to just also to see how much he's keep up to date on the technical side as well.

Again, it's really, I would say, once in a lifetime experience and opportunity for me to be able to learn from Jensen.

Yeah.

So basically, if you look at it, basically right now, we firmly believe that everything that moves will be autonomous.

Every mile driven by the car in the future will be autonomous.

So right now, if you look at it, basically among all the cars, we drive 13 trillion miles basically per year.

And right now, the percentage of autonomous miles among all the mileage driven is probably, let's say, negligible.

I think it's 0.006% or something like that.

So this is really the opportunity in front of us.

So NVIDIA's view is basically we'll help the ecosystem to get there as soon as possible by providing basically all the foundation technology piece, again, starting from chip,

to operating system and then basically to what we call halos again the halos operating system is really important because it doesn't you know it not only provides the sdk and the apis to for for folks to develop models on our hardware but also provide basically the safety guard rail for you to for for for developer to to to put a model on it

And then basically we also define what we call the Hyperion basically hardware platform.

That's a production ready platform, which included both the computer resource, you know, the ECUs and also the sensors we think.

it's necessary to achieve a different level of autonomy.

And on top of that, we provide basically the Mario basically open source model, which we trained and open source, not only the model architecture, but also the parameter and the data that basically you can use to fine tune the model on our platform.

And on top of that, we also

provide basically all the infrastructure needed.

For example, simulation right now, it's really important for developing AV.

We usually call it the AV problem is becoming three computer problem, right?

There's the training computer, there's the simulation computer, and then there's the inference computer in the car.

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