I personally found this NVIDIA move very interesting. Automakers generally do not want to become frontier AI infrastructure companies and they love technology standardization.
The real technical challenge is rappresented by edge cases: a software that is excellent 99.9% of the time can still be unacceptable if the remaining 0.1% contains rare but catastrophic scenarios. And that's why we still don't see many self-driving vehicles on the roads today.
However, NVIDIA has a credible shot because it controls much of the loop - hardware, training infrastructure and simulation environment. If it works they will impose a huge vendor lock-in, difficult to replicate for other competitors.
I'm very exciting for Nvidia to meaningfully enter this space. I know they've been working on autonomous vehicles for a while now, but it seems like they are approaching a real product. Hopefully, they produce something that can be used on consumer vehicles. We really need good competition in this space. The US market is limited to Tesla FSD and no other manufacturer is even close. I'm not confident individual manufacturers could meaningfully develop their own solutions. A strong third-party option is a great direction for the industry.
While this is fascinating, it's not a (brand-)new development.
Here's Archive.org's copy of the page from 2025 in September, their earliest copy:
https://web.archive.org/web/20250920031549/https://www.nvidi...
"Safety transistors safety assessed" exists in this version too
Someone please give Nemotron a thesaurus. This reminds me of the early days of SEO, where you try to hit 1% keyword density.
The new game is finding a single sentence with the most instances of "safe" or "safety". My current high score is 4..
18,600 engineering years sounds impressive to someone because it is the bulk of a career for 1,000 engineers. But it is less than two years for 10,000 engineers. The depth of understanding really hinges on which version is closer to reality.
Meta Horizons World probably puts up similar numbers if you sum up the hardware/software tech stack to get this number.
Is anyone else amused that the car shown on the landing page looks a lot like a Tesla Model Y, which famously does _not_ use any Nvidia chips (Tesla onboard computers have been AMD based for some time now)?
Probably the only way to catch up to Waymo's technical lead is for every other player to collaborate. The world dearly needs another self-driving car option.
I wonder if this product might be dangerous. Some subtle cues might assay my fears...
Can this safety system safely solve the safety problem of driving with safety on a safe thin layer of fresh safe snow ?
This is a weird way for Nvidia to announce they're going out of business.
I miss when Nvidia made GPUs for games and my OpenCL renderers. What is this trash...
Great! Safety!
The page had so many LLM-isms that I just can't make sense of.
> 18,600+ Engineering years invested in vehicle safety to date
What does this even mean?
> 7,000,000 Lines of safety-assessed code
Are we seriously using LoC as a measure of productivity again?
Not to mention the em-dashes
I noticed too much use of the word "safety", like the LLM was told to emphasise it, so I did a little test: randomly scroll and move the mouse without looking, is there "safety" in there? I did it for 4 times and every time I found it. Ctrl+F -> 136 results.