Building sustainable AI models to cut carbon emissions

The global energy consumption of computers is rapidly increasing due to the widespread adoption of Artificial Intelligence (AI) and Machine Learning (ML). In fact, the carbon footprint of cloud computing now surpasses that of the airline industry. Training several AI models can release up to 626,000 pounds of carbon dioxide, which is nearly five times the emissions of an average American car over its entire lifecycle. Technologists have a significant responsibility for ensuring the sustainability of the software and systems they employ. Sustainable AI is not only beneficial for the environment but also good for business, as companies that reduce carbon emissions can earn more profit than those that don't. Efficient database technology like Aerospike can significantly shrink server footprints, reducing latency and boosting throughput while lowering total cost of ownership (TCO). IT decision-makers must factor in the environmental impact when selecting a technology stack to help create a sustainable future.