---
格式版本: 2
标题: "OCI Achieves NVIDIA Exemplar Cloud Validation for NVIDIA GB300 NVL72 and HGX B300 | cloud-infrastructure"
原文链接: "https://blogs.oracle.com/cloud-infrastructure/oci-achieves-nvidia-exemplar-cloud"
发布日期: "2026-08-22"
发布时间校准状态: "found"
发布时间需复核: "否"
发布时间来源: "rule:configured_publication_date_rule"
发布时间证据: "doc-fixed-49fb23095330-publication-date html:original: August 22, 2026"
发布时间校准原因: "信源发布日期识别规则直接确认发布时间"
发布时间校准置信度: "high"
发布时间候选数量: 1
发布时间严格候选数量: 1
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: "2026-08-23T09:15:45+08:00"
发布时间仲裁状态: "skipped"
发布时间仲裁尝试次数: 0
发布时间仲裁耗时毫秒: 0
发现时间: "2026-08-23T09:12:59+08:00"
入库时间: "2026-08-23T01:15:45.982Z"
来源平台: "固定入口"
搜索渠道: "fixed_url"
搜索词: "https://blogs.oracle.com/?page=news"
匹配关键词:
  - "NVL72"
  - "GPU"
  - "Scale-up"
  - "NVLink"
  - "performance"
  - "bandwidth"
  - "throughput"
  - "AI"
相关厂家:
  - "Oracle"
  - "NVIDIA"
相关专家:
  []
内容类型: "网页"
抓取工具: "CDP Render"
清洗工具: "CDP Text + Defuddle/Readability 正文提取"
原始附件:
  []
AI优质: "是"
AI打分: 100
AI分档: "高置信优质"
AI质检状态: "通过"
AI打分理由: "直接讨论OCI获得NVIDIA Exemplar Cloud验证，覆盖GB300 NVL72机柜级72-GPU域和HGX B300，含NVLink、Spectrum-X、节点规格及模型验证细节，来源权威、信息新颖、部署信号明确。"
AI质检模型: "ali-deepseek-v4-flash"
AI质检时间: "2026-08-23T09:15:55+08:00"
AI主题相关性: 20
AI来源权威性: 15
AI新颖性: 20
AI技术细节: 20
AI商业部署信号: 15
AI完整性: 10
AI摘要: "Oracle Cloud Infrastructure（OCI）获得NVIDIA Exemplar Cloud验证，覆盖NVIDIA GB300 NVL72和HGX B300平台，证明其在Blackwell基础设施上能提供一致。"
AI摘要模型: "ali-deepseek-v4-flash"
AI摘要时间: "2026-09-07T02:11:32.176Z"
采集批次: "2026年8月23日9点08分00秒"
采集批次ID: "20260823-090800-145"
去重键: "https://blogs.oracle.com/cloud-infrastructure/oci-achieves-nvidia-exemplar-cloud"
---

Oracle Cloud Infrastructure (OCI) has achieved [NVIDIA Exemplar Cloud](https://www.nvidia.com/en-us/data-center/ai-cloud-performance/) validation for [NVIDIA GB300 NVL72](https://www.nvidia.com/en-us/data-center/gb300-nvl72/) and [NVIDIA HGX B300](https://www.nvidia.com/en-us/data-center/hgx/) platforms, further demonstrating its ability to deliver consistent, reproducible AI performance on NVIDIA Blackwell infrastructure at scale.

This milestone builds on OCI’s earlier validation for [NVIDIA GB200 NVL72](https://blogs.oracle.com/cloud-infrastructure/oci-achieves-nvidia-exemplar-cloud-validation), extending proven performance across the latest generation of Blackwell GPUs for AI training.

## Why this matters

As AI models continue to grow in size and complexity, organizations need more than peak benchmark numbers—they need infrastructure that delivers predictable performance across large, distributed workloads.

NVIDIA Exemplar Cloud provides an independent benchmark for evaluating cloud infrastructure. To earn the designation, cloud providers must demonstrate that NVIDIA reference workloads run within 5% of NVIDIA’s target performance. OCI’s successful validation on both GB300 NVL72 and HGX B300 platforms confirms that customers can expect consistent, production-ready performance for demanding AI workloads.

This combination of high-performance compute and high-bandwidth networking enables customers to scale training and inference workloads with confidence while maintaining reproducible results across large GPU deployments.

## Engineered for large-scale AI

OCI’s BM.GPU.GB300.4 shape is designed to maximize both scale-up and scale-out performance. Each node provides:

- 4 NVIDIA Blackwell Ultra GPUs
- 144 OCPUs
- 960 GB host memory
- 400 Gbps networking bandwidth

Eighteen nodes combine to form a **72-GPU GB300 NVL72 rack-scale domain**. Within each rack, NVIDIA NVLink connects all 72 Blackwell Ultra GPUs into a unified scale-up domain, while multi-rail [NVIDIA Spectrum-X Ethernet](https://www.nvidia.com/en-us/networking/spectrumx/) networking enables efficient scale-out training across OCI AI clusters.

For NVIDIA HGX B300 deployments, OCI uses the **BM.GPU.B300.8** shape. This platform features NVIDIA B300 GPUs and an optimized eight-rail Spectrum-X Ethernet configuration designed for high-performance distributed AI workloads.

## Validated across industry-leading AI models

The validation included a diverse set of representative large language model training workloads, including:

- DeepSeek V3
- GPT-OSS 120B
- Kimi-K2
- Llama 3.1
- Nemotron-H
- Nemotron 3
- Qwen3

Across this workload suite, both OCI GB300 NVL72 and HGX B300 platforms successfully met the NVIDIA Exemplar Cloud performance threshold, demonstrating reliable performance across modern foundation model architectures.

## Built for production-scale AI

Achieving Exemplar Cloud validation reflects the engineering investments behind OCI’s NVIDIA Blackwell infrastructure, from compute and networking to systems software and cloud operations.

Developed in close collaboration with NVIDIA, OCI’s Blackwell deployments are designed to help customers move beyond experimentation and confidently deploy AI workloads at production scale.

For customers, the outcome is straightforward: The same infrastructure validated through these benchmarks is designed to power real-world AI training environments requiring thousands of GPUs, high-throughput networking, advanced precision formats, and consistent performance throughout long-running distributed jobs.

## Setting a new standard for cloud AI

OCI believes customers should be able to trust that published benchmark results reflect the performance they can achieve in production.

With NVIDIA Exemplar Cloud validation now spanning HGX **B200**, **GB200 NVL72**, HGX **B300**, and **GB300 NVL72** platforms, OCI continues to demonstrate reproducible, benchmark-validated performance across the NVIDIA Blackwell portfolio.

Whether customers require node-level GPU instances or rack-scale NVL systems, OCI provides the high-performance, scalable infrastructure needed to accelerate the next generation of AI innovation with confidence.