Google|Kadensa Capital Limited: Google launches self-developed chips Apple|be|found|chips|also|Capital|Li

Kadensa Capital Limited news, Kadensa Capital Limited found that after Apple abandoned Intel to adopt self-developed chips, Google also announced on August 2nd US time that it will build its own smartphone chip processor Google Tensor, which will be used in the launch of this fall. The new mobile phones Pixel 6 and Pixel 6 Pro.
With the accumulation of technology and capital, more and more intelligent hardware is accelerating the construction of its own system-on-chip SoC, so as to achieve an effect that cannot be achieved by existing chips on the market. Like Apple’s chips, Google will also use an Arm-based architecture. Arm processors have low power consumption and can be used in mobile devices across the industry from smart phones to tablets and notebooks.
Google’s flagship new model is planned to be launched in October this year. In recent years, Google has been committed to building the Pixel into a smart phone that can directly compete with Apple and Samsung, not just a high-end model for a few people. Although it is almost impossible for Google to challenge Apple in the consumer-level field.

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Google’s head of hardware Rick Osterloh said in a recent public interview that the problem with Pixel is that Google has always been limited by existing mature technology solutions, and it’s difficult to bring its most advanced research results to mobile phones to allow more users. Benefit.
"Our chip will really change what is achieved on mobile phones through machine learning and artificial intelligence." Osterloh said, "We have customized a computer system specifically for computational shooting, such as reducing blur when the subject moves when taking pictures."
According to reports, Google's Tensor processor is a complete system-on-chip SoC. The company claims that this chip is expected to greatly improve the processing of photos and videos on mobile phones, and can realize functions such as voice conversion and offline translation faster and more accurately. In addition to integrating the traditional CPU, GPU and image signal processor, the system also includes a dedicated ASIC chip that runs artificial intelligence applications, so that more information can be processed on the phone without having to send the data to the cloud.
Research institute Gartner analyst Sheng Linghai told reporters: "ASIC is the core component of Google's chip system, which can provide differentiated competition and realize some mobile phone functions that are currently difficult to achieve."
Google did not disclose who will be responsible for the manufacturing of its smartphone chips. However, industry insiders revealed that Samsung is likely to become Google's foundry. Previously, Apple's chips used TSMC foundry.
According to data presented by Patrick Moorhead, the founder of Moor Insights, a research institution, Apple will save US$150 to US$200 on each self-developed chip. In the long run, self-developed chips can indeed save some costs for companies, but for large technology companies, the cost factor is only one part, and the more critical factor is technical considerations.
Qualcomm still said that it will continue to work closely with Google in the future to develop products based on its Snapdragon platform. However, in the future, Arm-based chip design will undoubtedly usher in a period of rapid development. Microsoft has also stated that it will develop chips based on the Arm architecture.
Jon Erensen, research director of Gartner, said that traditional chip manufacturers such as Intel have faced some challenges in the past two years. These challenges provide a good window of development for Arm-based chip designs to enter the market. Companies like Apple and Google are the best chip designers based on the Arm architecture.
At the same time, the chip industry is undergoing a new round of integration. Because it is extremely optimistic about Arm’s huge ecological opportunities in mobile devices and other fields, Nvidia has proposed a $40 billion acquisition of Arm. This acquisition has been announced for a year with many challenges, especially pressure from industry giants such as Qualcomm and Intel. At present, NVIDIA is still in the final game with the regulatory agencies of various countries.

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