Google Confirms Google Tensor G2 Chipset Runs on 5nm Architecture
- October 11, 2022
- 0
With the opening of the series pixel 7 Google told a little more about his new SoC Tensioner G2to be used in other devices such as Pixel tablet.
With the opening of the series pixel 7 Google told a little more about his new SoC Tensioner G2to be used in other devices such as Pixel tablet.
With the opening of the series pixel 7 Google told a little more about his new SoC Tensioner G2to be used in other devices such as Pixel tablet. In terms of performance, the new model didn’t bring many improvements and one of the reasons for that was that it was built using a 5nm process, the same size used in the first generation chip.
Tensor with Samsung 5LPP semiconductors?
The groups had nearly half a million members.
Initially, the search giant launched a rather confusing and error-ridden page detailing its new SoC, but Android control I contacted the company, who spoke a little about the new model. The manufacturer claims that it has designed its new chip “specifically for real use cases” and that the final architecture with The 5nm process helped achieve a balance of efficiency and performance.
However, this may leave Tensioner G2 even further away from its competitors, which are already being developed at 4 nm. OUR Google does not specify whose process she is using, but believes that she is using it or Semiconductors 5LPE or Samsung 5LPPthe first one is the same as Tensor 1 and the second updated version.
Credits: Google Disclosure
It is also possible that the company uses technologies from TSMSbut this is unlikely because Samsung is the main partner of the research giant in the smartphone market.
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Even though the new SoC still uses the technology, there are rumors that Google develops Tensioner G3 with 3nm architecture recently launched Samsung Foundry. This upgraded process will bring significant efficiency and performance advantages over 5nm.
One of the manufacturer’s reasons pixels Sticking to the old architecture can cause problems with the design process. 4 nm from Samsungwhich caused a number of problems in Exynos 2200 as well as Snapdragon 8 Generation 1. Rumor has it that in addition to performance and thermal management issues, semiconductors also have lower manufacturing efficiencies, greatly increasing the cost of manufacturing each chipset using them.
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I’m Maurice Knox, a professional news writer with a focus on science. I work for Div Bracket. My articles cover everything from the latest scientific breakthroughs to advances in technology and medicine. I have a passion for understanding the world around us and helping people stay informed about important developments in science and beyond.