They also don't compare the read speed (17 MB/s) to existing flash memory. They showcase an amazing write speed, but most applications access data a lot more frequently than they create it.
Even then the limit is unlikely to come from non-volatile storage itself. The current effective flash R/W speeds are pretty much limited by the controllers.
I remember an article stating that embedded flash controllers typically have a 20MB/s speed limit. This in turn meant that wireless speeds beyond 200Mb/s were mostly worthless, because the devices simply could not utilise any more. If someone can find the article again, I would be delighted.
However: if the reality with RRAM is even half as good as the claims go, then it would certainly encourage the hardware vendors to invest in somewhat better controllers. After all, what good is a new, hyperspeed storage medium if you can't access it any faster than the old one?
The whole premise of taking NAND from 25nm to 19nm (for instance) is to fit more floating gates in the same area. You can take that as a smaller die, or as more bits on a slightly larger die than the previous generation.
Die size is indeed a major factor on cost. For a given technology (litho node + process, e.g. # and type of steps), the cost to process a wafer is fairly constant regardless of die size.
If you shrink a die size, you fit more die on a wafer. Additionally, yield goes up (given an independent manufacturing defect density), and especially for large die, the tessellation around the edges has a major impact.
Indirectly, even testing is related to die size, in that there is a limit to tester parallelism, and more gates means more time and more combinatorial patterns to test, e.g. for stuck-at testing.
There are of course non-linear costs in packaging and package-level testing and elsewhere.
The per unit costs of a chip[1] are essentially constant per wafer. The smaller a chip is, the more of them each wafer will produce. Also, the smaller a chance there is that any given chip will be ruined by an imperfection. So then number of chips you get from each dollar of production cost is a bit less than linearly inversely proportional to the area of the chip. There are other factors too, though, and wafers from more advanced nodes will tend to be more expensive. However, the two examples being compared here were both from the 25nm nod.
[1] Which dominate with memory since production runs tend to be large and the regular patterns make for less design investment than, say, a CPU.
It's always been related, but it's not the only factor. Packaging, assembly and test are the other primary components of manufacturing cost. You are correct though, that price (as opposed to cost) is going to include amortized R&D, marketing, license fees, margin etc.
"[Crossbar's CEO] could not estimate the price of a 1TB RRAM module, but said it will cheaper than NAND flash partly because RRAM is less expensive to manufacture."
> could also perform its storage functions at 20 times lower power
> non-volatile
> 10 times the endurance of NAND flash chips that it could replace
If this is true, wow, but I have a hard time believing it.