Technology
Amazon produces self-developed chips in the future: Amazon AWS CEO
Amazon’s newly appointed CEO of Web Services (AWS), Adam Selipsky, said in an interview with CNBC that Amazon intends to design more self-developed chips in the future to bring customers more profits.
Sailipski said: “So far, we have designed several different chips independently, and there will be more in the future. The latest chip is called Graviton2, and it is based on x86 (the key instruction set of Intel processors). Compared with similar chips, its cost performance has actually increased by 40%.”
At present, AWS has developed three series of self-developed chips, including ARM-based Graviton 2 CPU, which can be used for AWS EC2 services. This chip is a dedicated data center processor, working to challenge Intel’s leading position in the data center market.
Moreover, the second is AWS Inferentia, which is mainly for EC2 Inf1 machine learning applications; the third is the AWS Nitro System chip, which is mainly used to support the EC2 instant underlying management platform, which can offload network storage and security to dedicated hardware and software devices.
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Amazon Cloud Technology is committed to uniting the upstream and downstream of the semiconductor industry to establish a collaborative design and development platform with mutual trust and integration, and provide integrated design, verification, tapeout, and computing resource services.
Reduce the difficulty of setting up an EDA development environment for design companies, and improve design efficiency and process success rate.
In 2014, Amazon established a chip research and development department; the following year, through the acquisition of the Israeli chip design company Annapurna Labs, it did some design and development applications in the local data center.
From 2016 to now, Amazon’s chip design has gradually realized from hybrid architecture to a completely cloud-based design and has realized the full-process design of the first 7nm server CPU Graviton 2 on the cloud end-to-end.
Besides, it also develops server chips based on the Arm architecture to provide better cost performance and develops machine learning inference chips to accelerate calculations.