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H3C releases UniPoD S81000 X1 super node

新华三发布 UniPoD S81000 X1 超节点,单域支持 40 张国产 GPU

Why we picked it

This product addresses critical bottlenecks in large AI model training with its all-to-all communication architecture, reducing data waiting times significantly. For enterprises in ASEAN deploying trillion-parameter MoE models or running 24/7 AI agents, the liquid-cooled, cable-free design offers 10x physical reliability and linear scalability without proportional cost increases.

H3C launched the UniPoD S81000 X1 super node on 29 Sep 2023.

Body

The rack-level fully interconnected AI computing product supports 40 domestic GPUs in a single Scale-Up domain.

It achieves 448GB/s P2P bandwidth between any two cards through a CLOS topology.The product aggregates 5760GB of unified addressable memory and delivers 28P FLOPS of computing power at FP8 precision.

Original · IT之家

新华三发布 UniPoD S81000 X1 超节点,单域支持 40 张国产 GPU

IT之家 9 月 29 日消息,新紫光集团旗下新华三昨日发布了机架级全互联智算产品 UniPoD S81000 X1 超节点。该产品单 Scale-Up 域最大支持 40 张国产加速卡,通过 4 个 Scale-Up 专用交换 Tray 实现一级 CLOS 全互联拓扑,任意两卡间 P2P 带宽达 448GB/s。 S81000 采用正交连接设计,计算节点与交换节点通过高速连接器直连,无须线缆与背板。产品采用纯电互联,无光模块,厂商称物理可靠性提升 10 倍。 显存与算力方面,40 卡聚合为 5760GB 可统一编址的显存池,支持 FP8 精度(IT之家注:FP8 为 8 位浮点格式,常用于 AI 训练与推理加速),总算力可达 28P FLOPS。 产品兼容 19 英寸标准机柜,支持机柜解耦交付,单柜最大可部署 2 套 40 卡超节点。散热采用液冷为主、风液兼容的协同架构。 传统 8 卡服务器依靠以太网堆叠组网,卡间互联停留在微秒级时延、百 Gb/s 带宽。万亿参数 MoE 大模型的 All-to-All 通信需求下,大量 GPU 时间耗费于数据等待。此外,智能体 7×24 小时运行,多 Agent 串联复合失败率显著。传统集群组件繁杂、故障定位缓慢,运维成本随规模线性增长。 新华三表示,随着 AI 智能体加速渗透企业工作流,智能体任务对底层计算资源形成三重压力。单次任务 Token 消耗达十万至百万级,较传统对话场景增长数十倍。

Industry Coordinates & Source Verification

This report is categorized under AITOP's "Products" desk, focusing on China's AI industry and domestic foundation model ecosystem. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows and US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include H3C, UniPoD S81000 X1, GPU clusters, AI infrastructure.

Source attribution: curated from IT之家.