技术档案
AI基础设施AI infrastructure
训练推理专用算力系统
每条都摘自下方编号的来源原文；只写事实，不写预测或建议。
技术简介
- AI基础设施以GPU、高速互连及优化软件支持训练和推理的高吞吐、低延迟需求。1
AI infrastructure is purpose-built to handle the high-throughput, low-latency demands of training and inference workloads, using specialized hardware like GPUs, high-speed interconnects (e.g., InfiniBand or optical Ethernet), and optimized software stacks.
- 传统IT基础设施通常依靠CPU与常规以太网，处理数据库、邮件等通用计算、存储与网络任务。1
In contrast, traditional IT infrastructure is designed for general-purpose computing, storage, and networking tasks—supporting applications like databases, email, and enterprise workloads—typically relying on CPUs and conventional Ethernet networks.
为何此时
- Meta在2026年10月表示正建设四个各超1吉瓦的超级集群，全年基础设施容量有望同比近翻倍。2
Meta is building four "superclusters" with more than 1 gigawatt of capacity each and is on track to nearly double total infrastructure capacity in 2026 on a year-over-year basis, the company said.