ARM Holdings has hired Rami Sinno, director of artificial intelligence chips at Amazon.com, to reinforce his plans to develop his own complete chips, a person familiar with the matter said on Monday.
Sinno was responsible for helping to develop Amazon’s own chips, called Trainium and Inferentia, designed to help build and execute large artificial intelligence applications.
Until now, Arm had not built his own chips. Instead, it designs the central architecture and the set of instructions for processors that sells to its customers. Chips designers such as Apple and Nvidia use ARM technology in their chips.
In July, Arm revealed plans to invest a part of his profits in the construction of his own chips and other components. The CEO Rene Haas spoke about the possibility of going beyond design and creating chiplets – smaller and specific versions of a chip that are assembled – and complete systems.
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The company, mostly owned by the SoftBank Group, charges royalties on the chips that its customers sell. ARM -based devices boost almost all smart phones in the world, and server chips based on their intellectual property have achieved a significant presence in the data centers market, traditionally dominated by Advanced Micro Devices and Intel.
As part of a broad plan to expand its business, ARM has sought to go beyond supplying crucial intellectual property for chips and building its own complete designs.
Reuters first reported on the company’s plans, detailed in sealed documents of a trial in December, and its effort to hire executives of rival companies in February.
In recent years, ARM has sought to strengthen its equipment focused on the construction of complete chips and systems. The company has hired Nicolas Dube, a HPE executive with experience in large -scale systems design, already Steve Halter, intel chips engineer and Qualcomm, as part of this effort, according to the source familiar with the matter.
Sinno’s work on Amazon was part of the company’s effort to design chips that were cheaper and offered higher performance to NVIDIA graphic processors used for artificial intelligence applications.
With Reuters information
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