AI Changes Big and Small Computing
Data centers will get bigger, while more processing will move closer to the edge. The exponential growth in data centers necessary to meet AI's computing demands will have massive implications for businesses and the economy.
How will AI impact data center growth?
AI's growing need for computing power is expected to significantly expand the scale of data centers over the next five to ten years. Currently, large data centers operated by hyperscale cloud service providers range from 50 megawatts to over 200 megawatts. However, the demands of AI may push these centers to explore capacities of 1 gigawatt and higher, which will have substantial implications for infrastructure, power production, and market valuations.
What is the role of edge computing in AI?
The rise of AI is transforming edge computing by necessitating smaller, domain-specific language models that can handle tasks requiring lower latency. This shift will lead to innovations in user device form factors and computing capabilities, allowing for faster response times and more efficient processing in environments where speed is critical, such as autonomous driving.
What challenges do data centers face in the future?
As data centers grow to meet AI's demands, they will face several challenges, including increased power consumption and competition for resources. The need for significant electrical capacity expansion will compete with rising demands from other sectors, such as electric vehicles. Additionally, the construction of large data centers requires substantial investment and a skilled labor force, which may strain supply chains and labor availability.
AI Changes Big and Small Computing
published by SIA Simon Bremer Consultancy
Collaboration
We are committed to working collaboratively with each other to achieve the best possible outcomes for our clients who are at the center of everything we do. In working collaboratively we acknowledge that every person working on the project plays a valuable role that contributes to achieving the best possible outcomes.
Openness
A commitment to openness in our communications builds confidence and greater cooperation. We are committed to encouraging our clients and all people who work on the project to provide feedback that will help us provide better services.
Respect
We have respect for the abilities, knowledge, skills, and achievements of all people.
Sustainability
Zero waste
The ultimate goal is to provide perfect customer value through a perfect value creation process that has zero waste.
Simon Bremer, Dipl.-Ing in communication, has many years of experience with digitizing work processes,
​Enterprise Resource Planning systems, programming individual solutions for customers within Microsoft Navision, Dynamics365, and Business Central.
Since 2020 also been working as a mentor and lean management trainer.
Sign in with LinkedIn