何處可找到其他資訊
若要深入瞭解本文所述資訊、請參閱下列資源:
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NVIDIA DGX系統
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NVIDIA DGX-1系統https://www.nvidia.com/en-us/data-center/dgx-1/[]
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NVIDIA V100 Tensor Core 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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RUN:AI Container協調解決方案
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RUN:AI產品簡介https://docs.run.ai/home/components/[]
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執行:AI安裝文件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 CLI中提交工作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 CLI中分配GPU分數https://docs.run.ai/Researcher/Walkthroughs/Walkthrough-Using-GPU-Fractions/[]
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簡短示範https://youtu.be/gfr_sO27Rvo[]
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GitHub儲存庫https://github.com/NetApp/kubeflow_jupyter_pipeline[]
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NetApp AFF 產品
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適用於 All Flash FAS 的 NetApp Flash 優勢https://www.netapp.com/pdf.html?item=/media/19894-ds-3733.pdf[]
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資訊庫ONTAPhttp://mysupport.netapp.com/documentation/productlibrary/index.html?productID=62286[]
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NetApp ONTAP FlexGroup Volumes 技術報告https://www.netapp.com/pdf.html?item=/media/7337-tr4557pdf.pdf[]
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NetApp ONTAP AI
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《採用DGX-1與Cisco Networking設計指南的AI》ONTAPhttps://www.netapp.com/us/media/nva-1121-design.pdf[]
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ONTAP AI with DGX-1 and Cisco 網路部署指南https://www.netapp.com/pdf.html?item=/media/7674-nva-1121-deploypdf.pdf[]
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ONTAP AI with DGX-1 and Mellanox 網路設計指南https://www.netapp.com/pdf.html?item=/media/17122-nva1138designpdf.pdf[]
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ONTAP AI with DGX-2 設計指南 https://www.netapp.com/pdf.html?item=/media/7675-nva1135designpdf.pdf
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