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Comment by viraptor | Hacker News Reader

I couldn't actually find the amount of data that Tesla uses for training, but I'm curious: how much is it, and is it larger than what comma.ai has?

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I would expect that they have access to the cameras of all Teslas on the road, which should be about 5 million:

https://www.statista.com/statistics/502208/tesla-quarterly-v...

And I would expect that those generate more data than they can crunch, so that the bottleneck is the number of GPUs they have.

They recently reported that they have the equivalent of 40k H100 GPUs:

https://twitter.com/marekgibney/status/1784133742983860307

they are collecting 1B miles of data every 2-3 months

https://www.autoevolution.com/news/elon-musk-explains-the-la...

they will be using 85K H100s (up from 35K now) for training by the end of 2024:

https://www.shacknews.com/article/139619/tesla-ai-training-n...

That's not what the article says.

> This vastly expanded the FSD testing pool, with the Tesla fleet adding 1 billion FSD miles every 2-3 months

It doesn't mean they collect the video feed and all input from every second of those miles. Just that the FSD drives those miles.

Yes, they probably dont need to. But if you have your configs to share data with Tesla, and you have an intervention while on FSD, that small few seconds of video gets uploaded to them. That is the important data.

They can use every Tesla vehicle for training. They definitely have more data than anyone.

They can. But do they? Comma can collect from any vehicle, regardless of type.

There's also a matter of deduplication where they really don't need to use ~250 days a year of the same commute. They probably have more data than others, but I'm asking for a proper confirmation of this common knowledge.

Tesla's vehicles lack the advanced sensor suites of other manufacturers, which means that Tesla's moat amounts to a massive quantity of lower-quality data. When it comes to navigating using lidar and radar, they're dead last.

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