ended4월 5일· 1 sources
Discipline Over Hardware: Why GPU Scaling Alone Fails
AI 인프라의 숨겨진 문제: GPU 수 증설이 아닌 용량 규율
Why it matters
Most organizations diagnose AI infrastructure problems as insufficient GPU capacity, but the real issue lies in absent capacity discipline—understanding actual resource profiles, fair resource allocation, and enforcing SLOs. Without these fundamentals, investing in more hardware becomes an expensive band-aid masking deeper organizational and technical failures that no amount of compute can solve.
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GPU capacityAI infrastructureLLM servingCapacity planningProduction inference