Sugon released its upgraded AI inference-native storage FN Neo, which uses a pooled shared architecture for cluster-level KV Cache scheduling. It delivers 160GB/s bandwidth per array with sub-millisecond latency, cuts first-token response time by 73%, boosts token throughput by 150%, offers 99.999% reliability, and supports frameworks like vLLM, LMCache, and Mooncake.