--- 格式版本: 2 标题: "Oracle Cloud Infrastructure Deploys Thousands of NVIDIA Blackwell GPUs for Agentic AI and Reasoning Models | NVIDIA Blog" 原文链接: "https://blogs.nvidia.com/blog/oracle-cloud-infrastructure-blackwell-gpus-agentic-ai-reasoning-models/" 发布日期: "2026-06-30" 发布时间校准状态: "found" 发布时间来源: "llm:strict_original_body" 发布时间证据: "time class=related-news-date nvidia-article-date datetime=2026-06-30T08:00:57-07:00: Jun 30, 2026" 发布时间校准原因: "该日期来自HTML metadata中的article-date字段，位于标题附近，符合文章发布时间的特征。" 发布时间校准置信度: "100" 发布时间候选数量: 36 发布时间严格候选数量: 12 发布时间原页读取状态: "原页面来自已抓取 HTML" 发布时间未找到原因: "候选日期无效或 LLM 未确认" 发布时间校准时间: "2026-07-20T13:18:15+08:00" 发现时间: "2026-07-20T09:26:32+08:00" 入库时间: "2026-07-20T05:23:21.415Z" 来源平台: "NVIDIA Blog 搜索" 搜索渠道: "source_template" 搜索词: "https://blogs.nvidia.com/?s=Oracle" 匹配关键词: - "NVL72" 相关厂家: - "Oracle" - "NVIDIA" - "OpenAI" 相关专家: [] 内容类型: "网页" 抓取工具: "AgentKey Scrape" 清洗工具: "AgentKey Markdown + LLM 正文裁剪" 原始附件: [] AI优质: "是" AI打分: 88 AI分档: "高置信优质" AI质检状态: "通过" AI打分理由: "NVIDIA官方发布，明确讨论Oracle部署GB200 NVL72整机柜系统，包含架构规格、液冷、网络互连及大规模部署计划，信息权威且具商业落地信号。" AI质检模型: "qwen3.6-plus" AI质检时间: "2026-07-20T13:23:21+08:00" AI主题相关性: 18 AI来源权威性: 15 AI新颖性: 18 AI技术细节: 16 AI商业部署信号: 15 AI完整性: 6 图片摘要: - "✗ ./assets/img-83d2f103.jpg | diagram | Related post promotion (Performance per Watt article), not directly depicting O…" - "✗ ./assets/img-1f6575f1.png | diagram | Related post promotion (Vera CPU article), Vera CPU not mentioned in current te…" - "✗ ./assets/img-3511966c.jpg | photo | Related post promotion (NVIDIA Buildout article), generic brand photo." - "✗ ./assets/img-e47e99dc.png | diagram | Related post promotion (Inference Software Stack article), generic chip render …" 采集批次: "2026年7月20日9点23分34秒" 采集批次ID: "20260720-092334-062" 去重键: "https://blogs.nvidia.com/blog/oracle-cloud-infrastructure-blackwell-gpus-agentic-ai-reasoning-models" --- Oracle has stood up and optimized its first wave of liquid-cooled [NVIDIA GB200 NVL72](https://www.nvidia.com/en-us/data-center/gb200-nvl72/) racks in its data centers. Thousands of NVIDIA Blackwell GPUs are now being deployed and ready for customer use on [NVIDIA DGX Cloud](https://www.nvidia.com/en-us/data-center/dgx-cloud) and [Oracle Cloud Infrastructure](https://www.oracle.com/cloud/) (OCI) to develop and run next-generation reasoning models and AI agents. Oracle’s state-of-the-art GB200 deployment includes high-speed [NVIDIA Quantum-2 InfiniBand](https://www.nvidia.com/en-us/networking/products/infiniband/) and [NVIDIA Spectrum-X Ethernet](https://www.nvidia.com/en-us/networking/spectrumx/) networking to enable scalable, low-latency performance, as well as a full stack of [software and database integrations](https://nvidianews.nvidia.com/news/oracle-and-nvidia-collaborate-to-help-enterprises-accelerate-agentic-ai-inference) from NVIDIA and OCI. OCI, one of the world’s largest and fastest-growing cloud service providers, is among the first to deploy NVIDIA GB200 NVL72 systems. The company has ambitious plans to build one of the world’s largest Blackwell clusters. [OCI Superclusters](https://www.oracle.com/ai-infrastructure/) will scale beyond 100,000 NVIDIA Blackwell GPUs to meet the world’s skyrocketing need for inference tokens and accelerated computing. The torrid pace of AI innovation continues as several companies including OpenAI have released new reasoning models in the past few weeks. OCI’s installation is the latest example of NVIDIA Grace Blackwell systems going online worldwide, transforming cloud data centers into [AI factories](https://www.nvidia.com/en-us/glossary/ai-factory/) that manufacture intelligence at scale. These new AI factories leverage the NVIDIA GB200 NVL72 platform, a rack-scale system that combines 36 NVIDIA Grace CPUs and 72 NVIDIA Blackwell GPUs, delivering exceptional performance and energy efficiency for agentic AI powered by advanced AI reasoning models. OCI offers flexible deployment options to bring Blackwell to customers across public, government and sovereign clouds, as well as customer-owned data centers through [OCI Dedicated Region](https://www.oracle.com/cloud/cloud-at-customer/dedicated-region/) and [OCI Alloy](https://www.oracle.com/cloud/alloy/) at any scale. A number of customers are planning to deploy workloads right away on the OCI GB200 systems including major technology companies, enterprise customers, government agencies and contractors, and regional cloud providers. These new racks are the first systems available from [NVIDIA DGX Cloud](https://www.nvidia.com/en-us/data-center/dgx-cloud/?ncid=pa-srch-goog-108186-DGX-Brand-prsp&_bt=731829895137&_bk=dgx%20cloud&_bm=b&_bn=g&_bg=174488073597&gad_source=1&gbraid=0AAAAAD4XAoEhDJeC2xBpV78B-AJpBH2Am&gclid=EAIaIQobChMI54Ga6tfzjAMVmDBECB13vBGKEAAYASAAEgK3ePD_BwE), an optimized platform with software, services and technical support to develop and deploy AI workloads on leading clouds such as OCI. NVIDIA will use the racks for a variety of projects including training reasoning models, autonomous vehicle development, accelerating chip design and manufacturing, and developing AI tools. GB200 NVL72 racks are live and available now from DGX Cloud and OCI.