NVIDIA published a technical overview describing how NVLink Fusion enables custom XPU accelerators to integrate into large-scale AI factory infrastructure1. The post outlines that AI factory economics depend on delivered output metrics including tokens per second, tokens per watt, cost per token, utilization, and uptime, arguing that infrastructure must be designed as a complete factory rather than a collection of individual accelerators. The overview addresses hyperscalers and AI-native companies building custom XPUs.
NVIDIA Details NVLink Fusion for XPU Integration in AI Factories
NVIDIA published a technical overview of NVLink Fusion, describing how custom XPU accelerators can integrate into AI factory infrastructure at scale.