Alphabet Inc (NASDAQ:GOOG) Collaborates With Intel Corporation (NASDAQ:INTC) To Boost Artificial Intelligence

The stock of Alphabet Inc (NASDAQ:GOOG) closed at $968.45 losing 2.00% in yesterday’s trading session. Alphabet’s new Pixel smartphones bear a special-purpose chip for artificial intelligence and it is heavily relying upon the technology offered by Intel Corporation (NASDAQ:INTC).

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The new custom Pixel Visual Core co-processor that is associated with the Google Pixel 2 and Pixel 2 XL is a remarkable tool towards enhancing speed and the battery life as well during those instances of photo shooting using Google’s HDR+ technology.

In line with this is also the handling of AI workloads in apps in the most appropriate manner. However, the company has declined to make any comments regarding its partners on the chip. The QUALCOMM, Inc (NASDAQ:QCOM) Snapdragon 835 chip is also an important tool in carrying out a wide array of operations.

In the previous week, the device repair website iFixit proceeded to provide details regarding exactly how the Pixel Visual Core chip looks like. The chip’s serial number as seen from a photograph starts with “SR3,” like a number of the top Intel chips.

In an email to CNBC, a spokesperson working with Google outlined that they were working closely with Intel on the Pixel Visual Core. He went a step further to reveal that none of the existing chips bore exactly what Google needed for the latest Pixel devices.

Analysts following closely on the matter have said that Pixel 2 XL and Pixel 2 may not be selling as well as would have been expected. However, they have moved ahead to term the collaboration a big win for Intel.

Last year, Intel moved ahead to cancel a number of chips for tablets and smartphones. A segment of the commercially available tablets and phones still have modems and Intel chips inside.

Google’s spokesperson opined, “Waymo, Google’s sister company working on self-driving cars, has relied on Intel chips for years, but Google has done a lot of work on its own to develop its tensor processing unit chips for accelerating AI workloads in its data centers.”

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