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2020年发布的GPT-3拥有1750亿Tokens，只需要TB级的存储空间；到2023年发布的GPT-4，其规模达到了13万亿Tokens；而到2025年发布的GPT-5，其规模可能已经达到了114万亿Tokens，支持多模态数据（图像、音频、代码）及合成仿真数据。大模型规模指数级别的扩张，不仅带来了算力与网络的压力，更对数据存储基础设施形成了剧烈而全面的考验。 AI时代，存力先行。全球企业此刻 ...

华为的技术积累源于对AI发展路径的深刻理解。公司很早就预见到存储将成为AI变革的关键环节，在性能优化、扩展能力、数据范式等方面进行系统布局。其产品体系覆盖金融大模型、区域智算中心、自动驾驶平台等核心场景，通过持续解决训练效率、推理体验和综合成本等实际问题，构建起技术、产品和用户价值的立体优势。

在不久前发布的《2025 年企业存储平台关键能力报告》中，Gartner 首次增设 “AI Application Integration” (AI 应用集成)关键能力指标，并将 “Artificial Intelligence” 列为独立评估场景 —— 这标志着 AI 存储正式从 “可选配” 升级为 “必答题”，成为衡量存储厂商核心竞争力的关键维度。在这场全球存储厂商的首次 AI “大考” ...