How AI is Driving Data Centre Growth
Introduction
Artificial Intelligence (AI) is transforming all industries at an unprecedented rate, transforming business operations and reshaping the digital landscape. From powering website chatbots and recommendations found at the top of google to enabling complex machine learning models, AI's rise is directly fuelling the rapid expansion of data centres worldwide.
As businesses continue integrating AI into their workflows and services, the demand for computing power, storage, and networking capabilities has increased, making data centres the backbone of this technological revolution.
In this blog, we will explore AI's demand for computing power and how the rise of edge data centres help drive innovation across global industries.
Google's Hertfordshire Data Centre Displaying TPUs (Tensor Processing Units)
AI's Demands for Computing Power & Storage
One of the most significant factors driving data centre growth is AI's immense need for computer power. AI models, particularly deep learning algorithms and large scale neural networks, require powerful hardware to process vast amounts of data efficiently. Graphics Processing Units (GPUs), Tensor Processing Units (TPUs), and other AI-specific accelerators are now essential hardware in most modern data centres.
Unlike traditional computing tasks, numerous AI workloads work in parallel to achieve desired speeds, requiring thousands of high performance processors to work simultaneously. As a consequence, this increases the demand for robust and scalable data centre infrastructures.
The training of these AI models, such as OpenAI’s ChatGPT or Google’s DeepMind, requires a enormous amount of parameters, leading to large computational workloads. This heavy processing requirement has led cloud providers and enterprises to invest heavily in data centre expansion to support these AI driven workloads.
AI thrives on data. The more data AI systems can access, the better they perform in terms of efficiency and speed. With AI applications reaching industries such as healthcare, finance, retail, and entertainment, the sheer volume of data being generated and processed is staggering. Businesses are collecting and storing petabytes of structured and unstructured data, including images, videos, text, and sensor data, requiring scalable and high speed storage solutions.
The Rise of Edge Computing & AI Development
AI is no longer confined to centralised cloud environments where they were initially developed. With the arrival of edge computing, AI applications are being deployed closer to the source of where the data is generated. This shift is crucial for real time AI applications, such as autonomous vehicles and industrial automation, where low latency is essential for these services.
Edge computing requires localised data centres that can process AI workloads closer to the end user, reducing the time it takes for AI models to analyse and respond to data (latency). This has led to an increase in smaller distributed data centres at the network’s edge, working in tandem with traditional hyperscale data centres and further driving infrastructure expansion.
The symbiotic relationship between AI and data centres will only continue to strengthen. As AI technologies advance, data centres must evolve to support more complex and demanding workloads. Emerging trends such as quantum computing, neuromorphic computing (an approach to computing that mimics the way the human brain works), and AI optimised hardware will further drive innovation in data centre infrastructure.
Additionally, the increasing focus on sustainability and green computing will lead to the development of more energy efficient data centres powered by renewable energy sources. Companies investing in AI and data centre expansion must prioritise sustainability to meet the ever growing demand while reducing their carbon footprint.
Conclusion
AI is a driving force behind the exponential growth of data centres. From the need for high performance computing and massive storage capabilities to the rise of edge computing and AI powered cloud services, the demand for advanced data centre infrastructure is higher than ever. As AI continues to evolve, data centres will remain at the forefront, ensuring businesses have the resources they require to harness the full potential of artificial intelligence.
Discover Our Edge Data Centre Services
It is said that edge computing is the future of data centres. The ability to quickly and securely process vast amount of data as well as reach hubs of end users and workers that are distributed globally is a great asset for companies. Especially if they are looking to extend their opportunities beyond their current data centre's walls. The benefits of moving to edge data centre are extensive to say the least, from reduced costs, efficiency to bandwidth suitability.
At INFINITI, we offer bespoke edge data centre design and build to clients that are focused on taking their operations to the next level, whilst simultaneously future proofing their data and services. Please click below to start your edge data centre project today.
