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要了解有关本文档中所述信息的更多信息，请参见以下资源：
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NVIDIA DGX 系统
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NVIDIA DGX-1 系统https://www.nvidia.com/en-us/data-center/dgx-1/[]
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NVIDIA V100 Tensor 核心 GPUhttps://www.nvidia.com/en-us/data-center/tesla-v100/[]
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NVIDIA NGChttps://www.nvidia.com/en-us/gpu-cloud/[]
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运行： AI 容器编排解决方案
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Run ： AI 产品简介https://docs.run.ai/home/components/[]
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运行： AI 安装文档https://docs.run.ai/Administrator/Cluster-Setup/Installing-Run-AI-on-an-on-premise-Kubernetes-Cluster/[]
https://docs.run.ai/Administrator/Researcher-Setup/Installing-the-Run-AI-Command-Line-Interface/ -
在 Run ： AI 命令行界面中提交作业https://docs.run.ai/Researcher/Walkthroughs/Walkthrough-Launch-Unattended-Training-Workloads-/[]
https://docs.run.ai/Researcher/Walkthroughs/Walkthrough-Start-and-Use-Interactive-Build-Workloads-/ -
在 Run ： AI 命令行界面中分配 GPU 分数https://docs.run.ai/Researcher/Walkthroughs/Walkthrough-Using-GPU-Fractions/[]
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简短演示https://youtu.be/gfr_sO27Rvo[]
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GitHub 存储库https://github.com/NetApp/kubeflow_jupyter_pipeline[]
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NetApp AFF 系统
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适用于全闪存FAS的NetApp闪存优势https://www.netapp.com/pdf.html?item=/media/19894-ds-3733.pdf[]
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ONTAP 9 信息库http://mysupport.netapp.com/documentation/productlibrary/index.html?productID=62286[]
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NetApp ONTAP FlexGroup卷技术报告https://www.netapp.com/pdf.html?item=/media/7337-tr4557pdf.pdf[]
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NetApp ONTAP AI
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采用 DGX-1 的 ONTAP AI 和 Cisco 网络设计指南https://www.netapp.com/us/media/nva-1121-design.pdf[]
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《采用DGX-1和Cisco网络的ONTAP AI部署指南》https://www.netapp.com/pdf.html?item=/media/7674-nva-1121-deploypdf.pdf[]
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采用DGX-1和Mellanox网络的ONTAP AI设计指南https://www.netapp.com/pdf.html?item=/media/17122-nva1138designpdf.pdf[]
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《采用DGX-2的ONTAP AI设计指南》 https://www.netapp.com/pdf.html?item=/media/7675-nva1135designpdf.pdf
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