Tesla’s AI chips are rolling out
), implying that Tesla made a breathtaking breakthrough in this kind of technology, often quoting the number of trillions of operations per second, known as TOPS.
For those readers that are hardware types, I know and you know that trying to make a comparison by the number of transistors is a rather problematic exercise anyway, since it can be an apples-to-apples or an apple-to-oranges kind of comparison, depending upon what the chip is designed to do.Anybody that knows anything about chip design can tell you that the first generation of a newly devised chip is oftentimes a rocky road.
Typically, an off-the-shelf commercially available chip is going to have not just the original maker looking at it, but will also have those that are buying and incorporating the processor into their systems looking at it too. The more eyes, the better.· Using your own self-designed chips has a lot of other considerations worth noting.
Having a proprietary chip usually means that you have to grow your own specialists to be able to develop the specialized software for it. You cannot readily find those specialists in the marketplace per se, since they won’t know your proprietary stuff, whereas when you use a commercial off-the-shelf chip, the odds are that you can find expert labor for it since there is an ecosystem surrounding the off-the-shelf processor.
Presumably, on the good side, if one of the chips experiences a foul hiccup, it causes the identical chip to be in disagreement, and because the two chips don’t agree, the system potentially avoids undertaking an inappropriate action.This has downsides.Does this mean that both chips are going to continually disagree and therefore presumably keep postponing the act of making a driving decision?
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