
AI infrastructure is shifting from training to inference, which runs 24/7, scales unpredictably, and requires global distribution. Deloitte projects inference will drive two-thirds of AI compute by 2026, growing at 79% CAGR. Teams repurposing training clusters for inference fail because those clusters cannot handle inference demands.
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Exclusive: Mindbeam touts dramatic performance improvements in CPU-based AI inference