利用专为统一混合环境而设计的安全、可扩展的数据解决方案,为检索增强生成 (RAG) 等生成式 AI 工作负载提供支持。
借助 NetApp 加速 GenAI 和 RAG。构建智能数据基础架构,以提高数据移动性,更快地获得洞察力,简化运营并转变您的 GenAI 工作负载。
“选择错误的存储部署类型或遗漏关键的 GenAI 存储功能可能会导致代价高昂的错误。”
Gartner | 支持生成式 AI 的首要存储建议 | 2024 年 2 月
加快训练速度、无缝扩展并为所有 GenAI 计划提供安全存储。
利用高性能、智能基础架构加快 AI 模型训练速度。
![Generative AI solutions - Tab 1 Image [9-ae3x]](https://images.contentstack.io/v3/assets/blt8710a579a77cafed/blt6d0d0aa179b0ea19/6a04176afd19c513dfb51fb0/GenAI-sidexside-1176x660-1_tcm19-121852.jpg?width=1176&format=pjpg&disable=upscale)
GenAI 的统一数据管理意味着可以跨环境访问数据。
![Generative AI solutions - Tab 2 Image [t-nn4w]](https://images.contentstack.io/v3/assets/blt8710a579a77cafed/blt8323b05b49925563/6a04176ff98cef3316059a61/GenAI-sidexside-1176x660-2_tcm19-121853.jpg?width=1176&format=pjpg&disable=upscale)
构建一个可扩展的统一数据湖,无缝存储和处理 GenAI 数据。
![Generative AI solutions - Tab 3 Image [17-9hm6]](https://images.contentstack.io/v3/assets/blt8710a579a77cafed/blt2dbd38c39cb4ef6f/6a04177327d3a2df4d0efba0/GenAI-sidexside-1176x660-3_tcm19-121854.jpg?width=1176&format=pjpg&disable=upscale)
根据您的需求调整 GenAI 部署 — 内部部署、混合部署或云部署。
![Generative AI solutions - Tab 4 Image [1e-1ufj]](https://images.contentstack.io/v3/assets/blt8710a579a77cafed/blt0ca396002774281e/6a041776dfbb2031a65e6688/GenAI-sidexside-1176x660-4_tcm19-121855.jpg?width=1176&format=pjpg&disable=upscale)
为 AI 数据提供端到端安全性 — 为管道的每个阶段提供内置保护。
![Generative AI solutions - Tab 5 Image [1o-7scv]](https://images.contentstack.io/v3/assets/blt8710a579a77cafed/blte413a8741919e618/6a04177829d3f804855fe396/GenAI-sidexside-1176x660-5_tcm19-121856.jpg?width=1176&format=pjpg&disable=upscale)
注册参加免费的 AI 就绪研讨会,根据您的业务目标调整 AI 基础架构战略。
还没有准备好?参加我们与 IDC 共同开发的全新 AI 自我评估,了解贵企业在 AI 成熟度方面的表现,以及成为 AI 大师所需的后续步骤。
NetApp 的 AI 解决方案套件可提供充分发挥 GenAI 潜能所需的可扩展性、性能和安全性。

NetApp AIPod consolidates a data center’s worth of analytics, training, and inference computing into a single, integrated system. We can easily get our AI and ML workloads up and running without worrying about setting up our own AI infrastructure.
Anri Kitami, Software Engineering Specialist, Pong Yuen

A unified data storage environment allows us to focus on the development of our AI-powered wildfire prediction and suppression system with more efficient and tactical decision-making.
Will Karavites, Chief AI/ML & Cloud Architect, Lockheed Martin

A global biopharmaceutical company deployed NetApp AIPod with NVIDIA DGX to power their AI center of excellence. Resulting in AI-driven drug discovery and clinical trial efficiency.

A leading tire manufacturer needed robust HPC and AI data infrastructure for secure, on-premises development. With NetApp’s AI infrastructure, they experienced continuous innovation, significantly elevated tire quality, and enhanced customer trust.

StorageGRID boosted AI app performance by 30% for a leading global auto manufacture.

NetApp AI solutions transformed data analytics, boosted efficiency, and future-proofed operations for a financial services giant.
