IBM Crams 30 Billion Transistors In 5nm Chip (page 2)

IBM today announced that it has developed an industry-first process with partners Samsung and Globalfoundries to manufacture silicon nanosheet transistors for 5 nanometer chips. It has been able to do this in less than two years after developing a 7nm test node chip with 20 billion transistors. The latest process enables the company to cram 30 billion transistors on a chip the size of a fingernail. IBM is going to provide the details of this process at the 2017 Symposia on VLSI Technology and Circuits Conference in Kyoto, Japan. The method used for etching the chip was the same extreme ultraviolet lithography (EUV) that was used for the 7nm chip. However, for this process, the FinFET processor design was set aside in favor of silicon nanosheets.This change enables individual switches to be fine-tuned so that their performance can be optimized even though they have been crammed into a fingernail-sized space. IBM says that the resulting increase in performance will help advance cognitive computing, the Intern

IBM Crams 30 Billion Transistors In 5nm Chip

IBM today announced that it has developed an industry-first process with partners Samsung and Globalfoundries to manufacture silicon nanosheet transistors for 5 nanometer chips. It has been ...

Mon 5 Jun 17 from Ubergizmo

IBM squeezes 30 billion transistors into a fingernail-sized chip

Who said Moore's Law was dead? Certainly not IBM or its chip partners Globalfoundries and Samsung. The trio has developed a transistor manufacturing process that should pave the ...

Mon 5 Jun 17 from Engadget

Want a smarter phone? IBM and Samsung bring you: Nanosheets! - CNET

Big Blue's research alliance to shrink computer chips develops technology to boost performance by 40 percent over today's processors.

Mon 5 Jun 17 from CNET Cutting Edge

IBM creates a chip less than three times the width of a DNA molecule

IBM's nanosheets could pave the way for AI, self-driving cars, and a phone battery that lasts longer than a day.

Mon 5 Jun 17 from Techradar

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