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Samsung would be behind the 2nd generation Google Tensor at 4 nm

Industry sources reveal that Samsung Foundry began to mass produce the second generation of Google’s Tensor chip to a 4nm manufacturing process. These chips would bring two new models of your phone to life Pixel 7which should arrive in the fall.

Additionally, it was mentioned thatWe will use PLP technologywhich the company has defined as a packaging technique in which “chips cut from a wafer are placed on a rectangular panel. Therefore, it is possible to minimize the scrap edge, thereby reducing costs and improving productivity.“, although the most important thing is unknown, which is wafer yield ratesomething in which the company has had serious problems in the past, enough to have cost it the maintenance of its agreements with large companies such as Nvidia or Qualcomm, which recently they abandoned their collaboration in favor of TSMC.

Google Tensor x Samsung Foundry

Apparently Samsung is in close talks with Google to also produce chips for other applicationssuch as Google’s own server chips, as well as the chips used in Waymo’s autonomous vehicles, in addition to providing DRAM and NAND flash memory.

We are now going to see if for Google it was a good or a bad decision, and it is that Qualcomm, with the Snapdragon 8+ Gen1the most relevant change was changing the manufacturing process from Samsung’s 4nm to TSMC’s 4nm, enough to increase core frequencies by 10% While the energy consumption has been reduced by 30%it is therefore obviously a huge competitive advantage, even if it must also be recognized that Google’s Tensor processors have never stood out for offering performance on a par with other products already available on the market.

The current Google Tensor was made by Samsung and the resulting hardware (Pixel 6 and Pixel 6 Pro) was found to be 10% slower than the Apple A12 SoC released 3 years earlier, to which was added a not very good autonomy. Now will be the time to see if they fix the temperature and battery life issues, increasing performance along the way.

via: GSMArena

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