Over the last 60 years, there has been a trillion-fold increase in the processing performance of computers, contributing significantly to economic growth and innovation.
The rise of artificial intelligence (AI) and generative AI (GenAI) is set to revolutionise various sectors, from medical research to weather forecasting. However, the exponential growth in computing power comes with challenges. Continued expansion risks violating the laws of physics and nature and could potentially overwhelm the world’s computing capacity. Moreover, the carbon emissions from running, cooling, and manufacturing servers and data centres pose a significant environmental threat.
Drafting solutions to challenges associated with rapid AI growth.
The author, Mark Herrity, delves into these issues, discussing the implications of Moore’s Law, the environmental impact of power-hungry AI technologies, and the potential repercussions of the rapid adoption of AI across different industries.
We investigate possible solutions to these challenges; you can join us in exploring:
- The potential of grid decarbonization, where servers run on green electricity.
- How cloud computing can help companies optimise their computing footprint.
- Emerging technologies, such as green AI and edge computing systems.
- How hardware manufacturers and cloud providers are working towards energy-efficient solutions.
- How AI itselfcould potentially help manage energy consumption.
Sustainable Computing is an essential read for anyone interested in the intersection of technology, economics, and sustainability. It addresses the growing influence and implications of computing power in our world today. Download your free copy and learn how to contribute to a world that marries technological advancement with environmental responsibility.