--- 格式版本: 2 标题: "Nvidia wants to bypass the CPU with an open-source AI storage overhaul" 原文链接: "https://www.sdxcentral.com/news/nvidia-wants-to-bypass-the-cpu-with-an-open-source-ai-storage-overhaul/" 发布日期: "2026-08-06" 发布时间校准状态: "found" 发布时间需复核: "否" 发布时间来源: "llm:local:strict_original_body" 发布时间证据: "August 06, 2026 ByBen WodeckiHave your say" 发布时间校准原因: "正文中明确标注发布时间为August 06, 2026，符合文章发布时间判定优先级。" 发布时间校准置信度: "1" 发布时间候选数量: 32 发布时间严格候选数量: 11 发布时间原页读取状态: "source template page reused from URL open" 发布时间未找到原因: "" 发布时间校准时间: "2026-08-28T16:24:40+08:00" 发布时间仲裁状态: "confirmed" 发布时间仲裁尝试次数: 1 发布时间仲裁耗时毫秒: 57882 发现时间: "2026-08-28T16:22:27+08:00" 入库时间: "2026-08-28T08:27:23.172Z" 来源平台: "SDxCentral 搜索" 搜索渠道: "source_template" 搜索词: "site:sdxcentral.com NVIDIA" 匹配关键词: - "GPU" - "AI" - "performance" 相关厂家: - "NVIDIA" - "Meta" - "Google" 相关专家: [] 内容类型: "网页" 抓取工具: "Jina Reader" 清洗工具: "Jina Reader Markdown + Defuddle/Readability 正文提取" 原始附件: [] AI优质: "是" AI打分: 79 AI分档: "高置信优质" AI质检状态: "通过" AI打分理由: "正文主线是Nvidia将cuFile API及其下层SCADA AI存储栈开源，通过存储直达GPU内存、绕过CPU主存缓冲来改变AI基础设施数据路径；披露Google、Intel、Meta担任核心维护者，DDN已在Infinia平台采用，并给出数十万GPU线程、微秒级访问等机制信息。来源为专业基础设施媒体，提供GitHub及DDN原始链接，但并非Nvidia官方原文且缺少完整基准与部署规模。固定知识库未出现cuFile/SCADA同事件，未发现重复证据；新增事实是开源发布、维护者阵容及早期采用。命中新架构/产品与可复用基础设施机制通道，当前页面凭可追溯链接和独立事实汇总本身具有保留价值。" AI质检模型: "gpt-5.6-sol" AI质检时间: "2026-08-28T16:27:37+08:00" AI主题相关性: 16 AI来源权威性: 12 AI新颖性: 18 AI技术细节: 16 AI商业部署信号: 9 AI完整性: 8 AI评分提示词版本: "v17-精简生产版" AI评分提示词SHA256: "48fb9777f386026761b4873eaff30807694fb11e9b352d7c69bf2dfde750cc7d" AI评分知识库版本: "knowledge_base_v1-20260819+runtime.17" AI评分知识库SHA256: "99ea8cb1b7e6cdbb1b5e4aeceb577762163b41f5c39fc40f242a17ac534b16ac" AI评分知识库检索词: "[\"NVIDIA\",\"GPU\",\"site:sdxcentral.com NVIDIA\",\"RAS\",\"Google\",\"Meta\",\"Intel\",\"CPU\",\"URL\",\"SDxCentral\",\"LDN\",\"www.xceleratedcompute.com/london/2026\"]" AI评分知识库命中: "[{\"id\":\"runtime-bfe02a4bdf19930993595f4a\",\"title\":\"SK Hynix, Sandisk unveil first standard for high-bandwidth flash\",\"sourceType\":\"ai_excellent_article\",\"time\":\"2026-08-04\",\"matchedTerms\":[\"GPU\",\"RAS\",\"Google\",\"Meta\",\"CPU\",\"URL\",\"SDxCentral\",\"LDN\",\"www.xceleratedcompute.com/london/2026\"],\"rank\":-19.62730040886545},{\"id\":\"runtime-5095d81c147567ab9111181d\",\"title\":\"Meta’s custom transport protocol embraces packet chaos to boost AI throughput\",\"sourceType\":\"ai_excellent_article\",\"time\":\"\",\"matchedTerms\":[\"GPU\",\"RAS\",\"Meta\",\"Intel\",\"URL\",\"SDxCentral\",\"LDN\",\"www.xceleratedcompute.com/london/2026\"],\"rank\":-19.44333472709141},{\"id\":\"runtime-b8cb239421f6cc07f924a9d9\",\"title\":\"Ex-Aruba CTO unveils optical startup armed with $900M to scale AI interconnectivity\",\"sourceType\":\"ai_excellent_article\",\"time\":\"2026-08-07\",\"matchedTerms\":[\"NVIDIA\",\"GPU\",\"RAS\",\"Meta\",\"URL\",\"SDxCentral\",\"LDN\",\"www.xceleratedcompute.com/london/2026\"],\"rank\":-18.01900271661801},{\"id\":\"runtime-c6eb46d0589445bdb3dc686f\",\"title\":\"Nvidia claims 'fastest-growing’ networking title as Spectrum-X sales soar\",\"sourceType\":\"ai_excellent_article\",\"time\":\"\",\"matchedTerms\":[\"NVIDIA\",\"RAS\",\"Meta\",\"URL\",\"SDxCentral\",\"LDN\",\"www.xceleratedcompute.com/london/2026\"],\"rank\":-17.280176778434985},{\"id\":\"runtime-f25234b5fb900c12eebcf43a\",\"title\":\"Scale-in? Nvidia’s ‘fifth’ pillar of AI networking rests on shaky ground\",\"sourceType\":\"ai_excellent_article\",\"time\":\"\",\"matchedTerms\":[\"NVIDIA\",\"GPU\",\"RAS\",\"URL\",\"SDxCentral\",\"LDN\",\"www.xceleratedcompute.com/london/2026\"],\"rank\":-15.89724558702921}]" AI摘要: "Nvidia将cuFile API与SCADA存储软件栈开源，使GPU可直接读写存储、绕过CPU内存中转，以加速AI工作负载；Google、Intel、Meta担任核心维护者，DDN已成为率先采用该方案的厂商。" AI摘要模型: "ali-deepseek-v4-flash" AI摘要时间: "2026-09-07T02:08:37.369Z" 采集批次: "2026年8月28日16点22分01秒" 采集批次ID: "20260828-162201-542" 去重键: "https://www.sdxcentral.com/news/nvidia-wants-to-bypass-the-cpu-with-an-open-source-ai-storage-overhaul" --- Title: Nvidia wants to bypass the CPU with an open-source AI storage overhaul URL Source: https://www.sdxcentral.com/news/nvidia-wants-to-bypass-the-cpu-with-an-open-source-ai-storage-overhaul/ Markdown Content: This website uses cookies to ensure you get the best experience on our website. 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The [cuFile](https://github.com/xio-sig) API was published to GitHub, with Google, Intel, and Meta joining the chip giant as core maintainers. Its open-sourcing comes amid a renewed focus on the CPU given its importance in agentic AI stacks as the central control plane and orchestration engine. CuFile, however, enables the movement of data through a drive to GPU memory without the need for a bounce buffer from the host CPU’s random access memory (RAM) CuFile essentially allows hundreds-of-thousands of GPU threads to securely access data from storage “in just microseconds.” Nvidia also open-sourced the scaled accelerated data access (SCADA) vertical storage software stack that sits beneath the API. The chip giant said the move would “help make security context, data and storage accessible at the speed AI-powered defenses need.” The SCADA framework allows parallel GPUs to extract specific data required for applications directly into high-speed memory, optimizing performance by bypassing unnecessary information. [DDN](https://www.ddn.com/press-releases/ddn-and-nvidia-collaborate-to-advance-gpu-initiated-data-access-for-next-generation-ai/) is an early adopter of the platform and is using it to provide more efficient connections between Nvidia GPUs and the vendor’s Infinia data intelligence platform. “AI success will increasingly be measured not by how much infrastructure an organization owns, but by how productively it uses that infrastructure," DDN CTO Sven Oehme explained. “Our work with Nvidia is focused on helping customers keep their GPUs working, accelerate time to insight, and improve the economics of AI at scale. By reducing the friction between compute and data, we can help organizations generate greater value from every accelerator, watt, and dollar invested.” Stay ahead of the latest cloud & storage channel trends. Subscribe to SDxCentral. [Create an Account to Subscribe Now](https://www.sdxcentral.com/create-your-free-sdx-central-account-today/)