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Will Tesla's Cars Chips become part Data Center?

Arthur Hanson

Well-known member
Could the AI capable chips in Tesla self-driving cars become part of a distributed data center when the car is not in use?
 
Could the AI capable chips in Tesla self-driving cars become part of a distributed data center when the car is not in use?
Unlikely. Distributed processing usually needs high throughput message passing with low latency. For data center applications, even 5G and WiFi are low throughput communications methods with high latency. 5G peaks at about 20Gbps (in perfect conditions) with latency normally in multiple milliseconds. New data centers currently use 100Gbps networks with latencies in a small number of microseconds.
 
I don't think anyone has ever figured out how to really use "idle" computer resources like this in any great quantity. There have been many attempts over the years of IT departments doing the same with 100,000+ PC corporate networks with no success.

In the case of Tesla's - there's a huge issue alone that these are customer cars, and someone has to pay the electricity (or lose range) of running that (Car) computer.

The only thing they can really do is use the local computer to do some pre processing on video clips the cars capture when sending them up to the 'main data center' for training self driving AI. That reduces load a little on the data center but not a lot..
 
I don't think anyone has ever figured out how to really use "idle" computer resources like this in any great quantity.
There is one app that made this kind of distributed processing work, from a long time ago. It was called SETI@home, from the Berkeley SETI Research Center (Search for Extraterrestrial Intelligence), which distributed radio telescope raw data recording segments to internet-connected computers for CPU-intensive analysis, looking for patterns that might provide proof for the existence of extraterrestrial intelligence. I think millions of computers of various types were involved. The project was shutdown in 2020. This was a perfect distributed processing problem, because the analysis of each data file used only local processing.


After the Wow! Signal was discovered in 1977, a lot of scientists thought all we needed to do was look for the evidence long enough, in what must be the most famous definition of "unstructured data" ever conceived. It didn't come to pass.

 
There is one app that made this kind of distributed processing work, from a long time ago. It was called SETI@home, from the Berkeley SETI Research Center (Search for Extraterrestrial Intelligence), which distributed radio telescope raw data recording segments to internet-connected computers for CPU-intensive analysis, looking for patterns that might provide proof for the existence of extraterrestrial intelligence. I think millions of computers of various types were involved. The project was shutdown in 2020. This was a perfect distributed processing problem, because the analysis of each data file used only local processing.


After the Wow! Signal was discovered in 1977, a lot of scientists thought all we needed to do was look for the evidence long enough, in what must be the most famous definition of "unstructured data" ever conceived. It didn't come to pass.


OK you 100% got me here. I used to run that client on some PCs back in the day, and had a friend that .. installed it on a # of GE computer systems to beat my "score" using my home network :). (We were both young and immature then.. maybe still now).

Thanks for the nostalgic reminder here!
 
OK you 100% got me here. I used to run that client on some PCs back in the day, and had a friend that .. installed it on a # of GE computer systems to beat my "score" using my home network :). (We were both young and immature then.. maybe still now).

Thanks for the nostalgic reminder here!
Wow!
 
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