The use of AI is showing that it is utilizing massive amounts of power and resources. The question is, do you think automation can further contribute to creating more efficient and power-saving data centers beyond the capabilities of AI alone?
Yes - Automation (outside) of AI has many insightful and useful wins especially around cost saving from a power and resource perspective.91%
No - AI all the way and, we can always find more power, resources etc!9%
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From the poll results. I am seeing that many agree that Automation can make data centers more efficient and power-saving, complementing the role of AI. Overall automation can help manage workloads dynamically, optimizes energy usage, and proactively resolves issues, where AI cannot. New energy constraints may require businesses to adopt green technologies, explore energy-efficient AI algorithms, and consider distributed computing. Prioritizing sustainability will be crucial for AI adoption in these areas.
What are others seeing in the space and do you think AI adoption will slow or hit a tipping point around (energy use or consumption)?
Many of us, myself included, voted in favor of a positive approach. However, I am questioning whether reducing model complexity, rather than focusing solely on automation, could truly drive a sustainability plan. So far, most models are large (LLM) with only a few adopting the small (SML) approach.