The history of Artificial Intelligence (AI) dates back to the thirteenth-century book Ars Magna written by Ramon Llull, a Franciscan philosopher. Modern AI began in 1956 at a workshop conducted by pioneer Marvin Minsky.
In the 1990s, AI applications became widespread with uses in speech recognition tools, robotics, and search engines. AI algorithms named machine learning started to become popular in that decade. The rise of personal computers and the internet led to rapid progress in AI technology. Today, deep learning and machine learning are assisting to produce solutions that can learn on their own and resolve complex problems.
The global AI software market is growing rapidly and is predicted to top about $126 billion in value by 2025.
Data Centres and Artificial Intelligence
AI is currently impacting data centres in a couple of ways: AI solutions need the computational power supplied by servers. Second, AI tools are being used to enhance data centre facilities. Thus, data centres help AI and, in turn, are served by it too.
Let’s now look closer at the connections between AI technologies and data centre services:
Need for Global Data Centres with GPUs
Deep learning and machine learning have skyrocketed the demand for servers and microprocessors. Deep learning tools like image recognition and voice search need advanced GPUs. For this reason, Nvidia GPUs have become popular, leading to a significant rise in the company’s stock price.
Deep learning solutions usually need a Tier 3 or 4 data centre to support GPU-driven processing. To capitalize on the business opportunities, providers are developing data centres for the specific needs of deep learning and machine learning.
Ways in Which AI Helps Data Centres Become Energy Efficient
Data centre services deal with high operational costs, including soaring power prices. Recent AI developments can help data centres become more energy efficient. For instance, deep learning can assist companies to reduce their energy use significantly, enabling businesses to save millions of dollars by supporting electricity savings of 40% using AI-based systems.
AI tools are helping in other aspects too. For example: With colocation data centre services, data centre racks are used to house physical servers, networking devices, cables and related computing equipment. Inefficient server use can raise costs for providers. To save money, they can leverage AI-driven predictive analysis applications to evenly distribute workloads in the servers.
Load balancing programs with inbuilt AI features can learn from past information and more efficiently distribute the load. Companies can also utilize AI-powered monitoring solutions to closely track network congestion, disk utilization, and server performance.
Data Centre Security
It’s essential for data centres to be prepared and vigilant to thwart cyber threats and attacks. However, the cybersecurity landscape keeps changing constantly, and it’s hard for technicians to stay updated on the latest information. A lot of man-hours and hard work is needed to manage and monitor cybersecurity concerns. Deep learning and machine learning can assist businesses to quickly adapt to evolving requirements.
Generally, data centre services handle threats by creating impenetrable walls and limiting access. Nonetheless, it is important to remember that cybersecurity concerns are beyond the control of the colocation service providers, as individual businesses handle this by implementing distinctive cybersecurity strategies.
The Future of Data Centres (AI Robots and Operators)
Sophisticated data centres have an immense scale and occupy hundreds of thousands of colocation space. Plenty of resources are needed to maintain such facilities. AI-based applications can help here too.
While the utilization of AI for data centre management is yet an untapped sector in India, with the growing demand and popularity of AI, in the future, such technologies might be integrated for managing data centres.
STT GDC India is a leading data centre services provider that offers carrier-neutral colocation services to more than 1,000 client companies, ensuring operational excellence so that businesses gain a competitive advantage.