Arm server technology is becoming a new trend in the server business due to its flexibility, small size, efficiency, and low cost. In the times to come, it could take a turning point for server-based computing, replacing x86 server processors.
Speaking of which, there are many rulers with leading technologies in the current server market. However, the top spot is held by Intel with 90% for x86 process technologies. However, Huawei’s Kunpeng chips and Amazon’s AWS Graviton can be counted as new emerging leaders in the industry.
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Now, recent reports suggest that the third-largest global provider of IaaS cloud- Alibaba is also planning to launch 5nm technology-based Arm server chip products. Later, it will be counted as another Chinese technology company using a self-developed CPU. It seems that the service provider is preparing to compete with Huawei and Amazon.
Alibaba 5nm Arm chip:
According to the report, since 2019, Alibaba is fully researching 5nm Arm chip processing technology by mid-2021. 128 cores and 5-nanometer process technology have been used to reach the level of products from Huawei and Amazon.
In addition, at the Yunqi conference, this Chinese cloud service provider recently informed that its most advanced server chip enters the manufacturing process. Not to mention, Yunqi Conference is the annual developer conference for Alibaba Cloud.
In addition, the next annual Yunqi Conference is scheduled for October 19 which will be held in Hangzhou China. In 2018, the company announced another chip-making subsidiary, “PingTou”, which mainly manufactures end-to-end products such as Honghuang 800 chips.
Huawei ARM Servers:
Huawei’s Taishan ARM servers are next-generation data center servers based on Huawei Kunpeng processors. Meanwhile, the Kunpeng 920 processor is designed with a multi-core computing architecture that integrates superior computing technology.
This Shengzeng based firm mainly uses 7nm technology with 64 2.6GHz core ARMv8 architecture to produce ARM chips. Furthermore, it primarily targets diverse efficient computing power requirements while maintaining its security and openness.
