Problems
What will AGI do for Runaway Cloud Compute Costs?
Machine learning engineering teams and enterprise IT departments face exponential spikes in cloud infrastructure spending as they move AI models from development to production. GPU instances dictate premium pricing, and compute demands for large-scale training runs and continuous inference fluctuate unpredictably. Teams routinely over-provision hardware to prevent latency bottlenecks, resulting in monthly cloud bills that outpace revenue growth.