8位AI Infra高管复盘WAIC：当堆砌「暴力美学」触顶，AI Infra如何求变？
Merged summary
TL;DR - Interviews with eight AI infrastructure executives at WAIC 2026 suggest the industry is shifting from maximizing GPU and training-cluster scale toward delivering reliable, low-cost inference tokens. Agent adoption matters because long-running, tool-using workflows sharply increase token consumption and infrastructure demands.
- Inference reportedly now dominates enterprise AI compute spending, making token throughput, latency, utilization, and cost more important operational metrics than GPU count.
- “Token factories” are framed as the inference-focused component of broader AI factories, optimized for standardized, scalable model serving.
- Post-scaling competition increasingly centers on system-wide optimization across chips, interconnects, inference engines, heterogeneous scheduling, energy, and workload routing.
- Agent infrastructure must sustain complex, continuous workloads through reliable networking, fault tolerance, model routing, tool orchestration, memory, and sandboxing.
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8位AI Infra高管复盘WAIC：当堆砌「暴力美学」触顶，AI Infra如何求变？
TL;DR - Interviews with eight AI infrastructure executives at WAIC 2026 suggest the industry is shifting from maximizing GPU and training-cluster scale toward delivering reliable, low-cost inference tokens. Agent adoption matters because long-running, tool-using workflows sharply increase token consumption and infrastructure demands.
- Inference reportedly now dominates enterprise AI compute spending, making token throughput, latency, utilization, and cost more important operational metrics than GPU count.
- “Token factories” are framed as the inference-focused component of broader AI factories, optimized for standardized, scalable model serving.
- Post-scaling competition increasingly centers on system-wide optimization across chips, interconnects, inference engines, heterogeneous scheduling, energy, and workload routing.
- Agent infrastructure must sustain complex, continuous workloads through reliable networking, fault tolerance, model routing, tool orchestration, memory, and sandboxing.