Huawei to sell servers with own chips in cloud computing push

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"AI will also change every organization", he said.

The two new chips come after Huawei's Kirin 970, released in 2017, and Kirin 980, which is set to be released this year and will be integrated within its Huawei Mate 20, also set to be released later this year.

Bloomberg reported last week that some 30 USA companies' systems had been infiltrated by malicious chips inserted by Chinese intelligence agents.

"The Tianjin Economic-Technological Development Area (TEDA) designed and developed an AI-based "1 + 4 + N" smart city solution, which refers to one centre, four platforms, and additional innovative applications", Huawei said. "We want to have an architecture that can deliver both extremely big computing capacity and extremely low-power consumption", Xu said. In April this year, the company launched HiAI, its AI engine for smart devices.

Proactive change is the first step towards a better future in AI. It's also introducing cloud computing services and dedicated data centers for autonomous vehicles that will run off those chips, delving deeper into territory staked out by Amazon.com Inc., Microsoft Corp. and homegrown rival Alibaba Group Holding Ltd. It will be available in the second quarter of 2019. Meanwhile, the Ascend 310 is designed for internet-connected devices such as smartwatches, smartphones and other IoT (Internet of Things) devices. Moreover, around 90% of the device users would have a smart digital assistant. "This requires so much labour", said Xu. "We provide hardware and cloud services, so if it's a hardware company or a cloud service company, there is competition", he said.

While the unit accounts for a small part of Huawei's overall sales, it has flagged the business as a potential growth driver. Furthermore, data utilization is slated to reach 86% with AI services being readily available.

In this world, AI will become a new general goal technology (GPT), rather than the preserve of an expert few, echoing recent Gartner Hype Cycle predictions about AI democratisation within a decade.

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To help bring about this new world, Xu defined ten essential changes that the tech development community needs to pursue.

Huawei said its AI research will focus on natural language processing, computer vision, decision/interference, and machine learning.

AI deployment should be pervasive, yet remain private and secure. "At present, AI is a job that can only be done by highly skilled experts". When this platform is in place, AI will become a basic skill shared by all application developers, he said.

"Within Huawei, we will continue exploring ways to improve management and efficiency with AI".

"AI will help us to find more efficient solutions to problems we already know how to fix". Its portfolio will also include an AI acceleration card, AI server, AI appliances and many other products. So far only four percent of enterprises have invested in AI, according to the keynote presentation.

"I think this is a very natural phenomenon in the business", he added.

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