Data centers have been constantly evolving and upgrading from their birth to the present. Today, with the integration of artificial intelligence, deep learning and data centers, intelligent technologies represented by AI have become the best partner for data center transformation and upgrading.
Data center intelligence becomes a trend
Today's data center workloads are spiraling, and more and more enterprises are looking to adopt artificial intelligence technology to help them reduce the management burden of IT teams, while improving efficiency and reducing expenses. The transformation of the center to a new type of data center.
The Ministry of Industry and Information Technology's "Three-Year Action Plan for the Development of New Data Centers (2021-2023)" points out that it focuses on guiding new data centers to take a green and low-carbon development path that is efficient, clean, intensive, and circular. Promote the creation, operation and maintenance and renovation of green data centers, and encourage the application of high-efficiency IT equipment, cooling systems, power supply and distribution systems, and auxiliary system technology products.
With the addition of artificial intelligence technology, the data center of the future will be very different from today's data center facilities. So what changes will artificial intelligence bring to the data center?
AI+ML+AR
The combined use of AI and Machine Learning (ML) with Augmented Reality (AR) will see rapid growth this year. With the explosion of the concept of the metaverse, we will rely more and more on artificial intelligence and VR technologies in 2022. The amount of data generated by these technologies is extremely huge, and the acceleration of data centers is imminent. In the near future, users will be able to virtually replicate real-world interactions. We are accustomed to video meetings, and we may be used to meeting in the AR world in the future.
Given the amount of data collected that can no longer be manipulated manually, we need artificial intelligence to process data such as facial recognition or contact tracing, and machine learning can be very promising wherever there is a large amount of complex data.
Energy efficient data center
Data centers are known to consume a lot of energy, but the use of artificial intelligence is helping data centers become more efficient in this regard. Improving energy efficiency will also improve the environmental impact of data centers.
Artificial Intelligence: Deep Learning
AI systems are being used to analyze how Google's data centers work in real time. These artificial intelligence neural networks use AI algorithms to analyze the system , diagnose problems, and then make changes as soon as they are resolved . Not only does an AI system work immediately, but it can also learn from a problem so that it can fix it faster than the next time, or prevent it from happening again. This is called deep learning.
Implementing AI in the data center will take us far beyond current DCIM systems and their limitations. Using artificial intelligence, we can create a real-world environment where not only are all power and facility decisions and processes fully optimized, but resource planning and even advanced functions such as dynamic bandwidth and server allocation in the data center are fully automated.
In addition to improving energy efficiency, with the improvement of data center AI analysis models, the combination of data center and AI will bring more advantages:
1. Optimize the workload . AI can help businesses run workloads in the most efficient and automated way. By using AI and machine learning, it is possible to learn from past data and distribute workloads more efficiently during peak hours. Doing so can help data centers improve efficiency, save energy and reduce emissions.
2. Optimize staffing . Hiring the right people is a huge challenge in the digital age, and AI can automate many tasks to help optimize what people do and get the most out of each employee.
3. Improve security . AI can be widely used in security operations centers in data centers. Complement current security incident and incident management (SIEM) systems by analyzing events and inputs from multiple systems and designing an appropriate incident response system.
The intelligent technology represented by AI has been incorporated into the data center section, which will bring many advantages to the data center in the future. The artificial intelligence data center is a positive step forward for the data center industry. Through artificial intelligence, it will not only save money on manpower, but also data centers will become more energy-efficient, taking due responsibilities and obligations for the global green economy.