빠른 배송, 나중에 최적화: 최고의 AI 엔지니어는 비용에 신경 쓰지 않고 배포에 우선순위를 둡니다.

Across industries, rising compute expenses are often cited as a barrier to AI adoption — but leading companies are finding that cost is no longer the real constraint.

The tougher challenges (and the ones top of mind for many tech leaders)? Latency, flexibility and capacity.

At Wonder, for instance, AI adds a mere few cents per order; the food delivery and takeout company is much more concerned with cloud capacity with skyrocketing demands. Recursion, for its part, has been focused on balancing small and larger-scale training and deployment via on-premises clusters and the cloud; this has afforded the biotech company flexibility for rapid experimentation.

The companies’ true in-the-wild experiences highlight a broader industry trend: For enterprises operating AI at scale, economics aren't the key decisive factor — the conversation has shifted from how to pay for AI to how fast it can be deployed and sustained.

AI leaders from the two companies recently sat down with Venturebea