FUTURE TECHNOLOGY
Huawei has invested substantial research and development ( R & D ) into communication technology ( CT ) and Information Technology ( IT ) systems over the last 30 years . to support database and data warehousing implementations , while Software-as-a- Service ( SaaS ) offerings offer advanced Big Data and AI services such as visual and speech recognition .
Maintaining cohesiveness and integration across such a broad range of systems is a continuous effort , especially considering the sheer breadth and depth of the company ’ s offerings . To address this , Huawei has built OpenLabs for the enterprise market in Suzhou , Munich , Paris , Mexico City , Singapore , Dubai , Bangkok , Delhi , Cairo , Johannesburg , Moscow and Istanbul . We are developing the best industrial solutions with customers and partners in different domains around the world .
Understanding the rise of AI
With a good understanding of the application and trends of IT infrastructure and cloud service , Huawei has also incorporated advanced Artificial Intelligence ( AI ) capabilities into its range of data centre facility offerings to further enhance the capabilities of its solutions .
Research from the McKinsey Global Institute says that AI has the potential to add about US $ 13 trillion to total economic output by 2030 and boost global GDP by about 1.2 % per year . About 70 % of global companies are expected to adopt at least one AI technology in the next decade and more than 50 % of global companies will adopt all AI technologies .
The rapid and widespread adoption of AI is staggering , and there is no question that it will become the core driving force behind the fourth industrial revolution .
Already , AI is spurring profound and potentially disruptive changes in the world , in diverse fields such as autonomous vehicles , smart digital assistants , home automation and digital marketing .
But how does AI fit into the data centre ? While the world is just getting started with exploring what AI can do , it turns out that there are many applicable use cases that can impact the data centre . These range from using AI to improve safety and reliability , efficiency and even in the reduction of energy consumption in data centres .
Pushing the envelope of AI in efficient energy use
Energy consumption is a top consideration for data centres everywhere . The increasing demand for high-performance computing across the industry is driving an increase in high-density servers , the use of GPUs , as well as specialised AI processing chips . These systems generate significantly more heat than traditional CPUs , making heat dissipation an increasingly vital topic in data centres .
This was the reason behind the development of Huawei ’ s iCooling intelligent thermal management solution for data centre infrastructure . Before AI is introduced , various equipments such as air conditioners , chillers , cooling towers and water pumps are simply controlled by BMS to ensure the normal and safe operation . The cooling system , however , cannot run at the optimal efficiency point . Huawei iCooling system incorporates Deep Learning to draw the appropriate correlations between various cooling equipments with actual IT loads and environment variables .
INTELLIGENT TECH CHANNELS
INTELLIGENT TECH CHANNELS Issue 35
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