3D NAND: Hitting The Reset Button on Scaling

Now that we understand how 3D NAND works, it is time to see what it is all about. As we now know, the problem with 2D NAND is the shrinking cell size and the proximity of the cells, which results in degraded reliability and endurance. Basically, 3D NAND must solve these two issues but it must also remain scalable to be economical. So how does it do that? This is where the third dimension comes into play.

The cost of a semiconductor is proportional to the die size. If you shrink the die, you effectively get more dies from a single wafer, resulting in a lower cost per die. Alternatively you can add more functionality (i.e. transistors) to each die. In the case of NAND, that means you can build a higher capacity die while keeping the die size the same, which gives more gigabits per wafer and thus reducing cost. If you cannot shrink the die, then you have just hit a dead-end because the cost will not scale. That is what has happened with 2D NAND because the shrinks on X and Y axes have run out of gas.

What 3D NAND does is add a Z-axis to the game. Because it stacks cells vertically, it is no longer as dependent on the X and Y axes since the die size can be reduced by adding more layers. As a result, Samsung's V-NAND takes a more relaxed position on the X and Y axes by going back to a 40nm process node, which increases the cell size and leaves more room between individual cells, eliminating the major issues 2D NAND has. The high amount of layers compensates for the much larger process node, resulting in a die that is the same size and capacity as the state of the art 2D NAND dies but without the caveats.

The above graph gives some guidance as to how big each cell in V-NAND really is. On the next page, I will go through the method of how cell size is really calculated and how V-NAND compares with Micron’s 16nm NAND but the above gives a good picture of the benefit that 3D NAND has. Obviously, when each cell is larger and the distance between individual cells is higher, there are more electrons to play with (i.e. more room for voltage state changes) and the cell to cell interference decreases substantially. Those two are the main reasons why V-NAND is capable of achieving up to ten times the endurance of 2D NAND.

Moreover, scaling in vertical dimension does not have the same limitations as scaling in the X and Y axes do. Because the cost of a semiconductor is still mostly determined by the die area and not by the height, there is no need to cram cells very close to each other. As a result, there is very little interference between the cells even in the vertical direction. Also, the usage of high-K dielectrics means that the control gate does not have to wrap around the charge trap. The result is that there is a hefty barrier of silicon dioxide (which is an insulator) between each cell, which is far more insulating than the rather thin ONO layer in 2D NAND. Unfortunately, I do not know what is the exact distance between each cell in the vertical dimension but I think it is safe to assume that it is noticeably more than the ~20nm in 2D NAND since there is no need for aggressive vertical scaling. 

As for how far Samsung believes their V-NAND can scale, their roadmap shows a 1Tbit die planned for 2017. That is very aggressive because it essentially implies that the die capacity will double every year (256Gbit next year, 512Gbit in 2016 and finally 1Tbit in 2017). The most interesting part is that Samsung is confident that they can do this simply by increasing the layer count, meaning that the process node will stay at 40nm. 

3D NAND: How It Works 3D NAND In Numbers: Is It Economical?
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  • extide - Tuesday, July 1, 2014 - link

    Well, kinda, I mean, some implementations come from the IOH instead of the CPU. I have heard rumors that future versions of Intel Desktop CPU's will have 20-24 PCIE lanes on them instead of 16. That would be perfect for storage!
  • smithrd3512 - Tuesday, July 1, 2014 - link

    Gotta love that warranty. 10 years on the drive. Might be worth the extra cost just for that alone.
  • rahuldesai1987 - Tuesday, July 1, 2014 - link

    "That is very aggressive because it essentially implies that the die capacity will double every year (256Gbit next year, 512Gbit in 2016 and finally 1Tbit in 2017)" - Does this mean a 8TB drive at $600 in 2017 ($75 per TB). Good bye hard drives by then :). What about a 850/850 Evo version?
  • DarkXale - Tuesday, July 1, 2014 - link

    It certainly does imply 8TB SSDs by 2017. By that point such a SSD will likely have a higher capacity than HDDs of that time.

    Of course, price will be very significantly in favour of the HDD still; but if money is no object you could do bulk storage in a portable device if you wanted to.
  • CalaverasGrande - Tuesday, July 1, 2014 - link

    This may become an exhibit in some future dispute between Samsung and Apple. Those prices are easily Apple territory.
  • extide - Tuesday, July 1, 2014 - link

    Ehh, those prices were par for the course 18-24+ months ago!
  • toyotabedzrock - Tuesday, July 1, 2014 - link

    Does the height of these 32 layers make the cells more delicate when subjected to horizontal movement?

    And is this mlc or TLC?
  • MrSpadge - Wednesday, July 2, 2014 - link

    Do, it doesn't. The height scale is still in the µm range, which is pretty much stable on macroscopic sclaes.
  • emvonline - Tuesday, July 1, 2014 - link

    thanks for the article on VNAND SSD. I think the SSD analysis is good and shows the impact. The details of Planar NAND and VNAND are incorrect in many cases. The overall NAND takeaway should be Samsung VNAND is a 86Gbit device Die level with a very large effective cell size. I still want to buy one... where can I get it?
  • Kristian Vättö - Tuesday, July 1, 2014 - link

    "The details of Planar NAND and VNAND are incorrect in many cases."

    Can you elaborate on that? I'm not saying that there can't be mistakes but it doesn't help me unless you explain what you think is incorrect.

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