Sugon launches upgraded AI inference native storage FN Neo
According to 36Kr, Inspur has released an upgraded AI inference-native storage solution named FN Neo. The system reportedly reduces first-token response time by 73%, increases overall token throughput by 150%, and offers 99.999% reliability with multi-layer fault protection for 7x24 production-grade AI workloads, while remaining compatible with mainstream inference frameworks and diverse networking environments.

Key facts
- 01Inspur released an upgraded AI inference-native storage solution named FN Neo.
- 02FN Neo reduces first-token response time by 73%.
- 03FN Neo increases overall token throughput by 150%.
- 04FN Neo provides 99.999% reliability and supports 7x24 production-grade AI workloads with multi-layer fault protection and compatibility with mainstream inference frameworks and diverse networking environments.
AI-generated from the sources below. Always check the originals.
How each country tells it
So far our sources show coverage from one country. Perspectives appear once we find reports from a second country.
Sources
Summaries are AI-generated from the linked sources and may contain errors; always check the originals. We summarise and link; we never republish articles. Photos come from openly licensed libraries, official publicity material and brand logos, credited to their sources. If you own an image and want it credited differently or removed, email info@coda.news and we will act promptly.
- 中科曙光AI推理原生存储FN Neo全新升级 · 36氪