Why the next AI race will be won at the inference layer

Enterprises transitioning generative AI from pilots to production need to manage inference costs and complexity by matching workloads to the most suitable model, accelerator, and environment, rather than simply scaling model size or hardware. Core42's approach using workload-aware AI orchestration and multi-silicon routing improves operational efficiency, governance, and cost control at scale.

This Wire brief sits within Fusion42's coverage of AI & ML.