Why it Matters
AI workloads are shifting from training to inference, and Agentic AI extends task chains making operational cost the primary consideration. Rack-scale AI system choices will directly impact infrastructure costs.
PRO
DECISION
Cloud providers should evaluate both Helios and NVL72. Enterprises with >60% inference workloads may pilot Helios in H2 2026; risk-averse enterprises should stick with NVL72.
PRO
PREDICT
Rack-scale competition will drive token costs down. AMD's open strategy may win favor with hyperscalers, but NVIDIA ecosystem lock-in remains strong. 2027 will be the critical validation year.
Get 3-5 key AI infrastructure signals weekly →
💬 Comments (0)