Lately, I’ve been covering the overengineering and overprovisioning of resources in support of AI, both in the cloud and not in the cloud. AI architects are putting high-powered processors, such as GPUs, on their AI platform shopping lists, not stopping to consider if they will return business value.
I’ve found myself in more than a few heated disagreements with other IT architects about using these resources for AI. There seem to be two camps forming: First, the camp that believes AI will need all the processing and storage power that we can afford now. They beef up the systems ahead of need. Money and carbon footprint don’t need to be considered.
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