Why the Next AI Race Will Be Won at the Inference Layer
TechTarget, Tuesday, August 19th, 2025
Enterprise AI advantage will come from routing each workload to the right model, accelerator, and environment.
As enterprises move GenAI from pilots to production, attention is shifting from training large language models to managing the cost and complexity of inference.
A Core42 report argues the next competitive advantage comes from matching every workload to the right combination of model, accelerator, and deployment environment rather than running the biggest model on the most powerful hardware.
Core42 CPTO Raghu Chakravarthi warns that agentic AI breaks conventional capacity planning because consumption scales with autonomy rather than headcount, and that spend caps and routing logic are too often deferred until costs compound.
The Compass platform routes across 60-plus models and multiple accelerators, weighing latency, throughput, governance, and cost.