Weitere Informationen
Folgende Ressourcen enthalten ausführlichere Informationen zu den Angaben in diesem Dokument:
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NVIDIA DGX-Systeme
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NVIDIA DGX-1-Systemhttps://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:KI-Container-Orchestrierungslösung
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Run:KI: Produktvorstellunghttps://docs.run.ai/home/components/[]
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Run:AI Installationsdokumentationhttps://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/ -
Senden von Jobs in Run:AI CLIhttps://docs.run.ai/Researcher/Walkthroughs/Walkthrough-Launch-Unattended-Training-Workloads-/[]
https://docs.run.ai/Researcher/Walkthroughs/Walkthrough-Start-and-Use-Interactive-Build-Workloads-/ -
Zuordnen von GPU-Fraktionen in Run:AI-CLIhttps://docs.run.ai/Researcher/Walkthroughs/Walkthrough-Using-GPU-Fractions/[]
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Kurzform-Demohttps://youtu.be/gfr_sO27Rvo[]
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GitHub Repositoryhttps://github.com/NetApp/kubeflow_jupyter_pipeline[]
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NetApp AFF Systeme
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NetApp Flash Advantage für All Flash FAS https://www.netapp.com/pdf.html?item=/media/19894-ds-3733.pdf
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ONTAP 9 Informationsbibliothekhttp://mysupport.netapp.com/documentation/productlibrary/index.html?productID=62286[]
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Technischer Bericht zu NetApp ONTAP FlexGroup Volumes https://www.netapp.com/pdf.html?item=/media/7337-tr4557pdf.pdf
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NetApp ONTAP AI
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Design-Leitfaden: ONTAP AI mit DGX-1 und Cisco Networkinghttps://www.netapp.com/us/media/nva-1121-design.pdf[]
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Implementierungs-Leitfaden: ONTAP AI mit DGX-1 und Cisco-Netzwerk https://www.netapp.com/pdf.html?item=/media/7674-nva-1121-deploypdf.pdf
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Design-Leitfaden: ONTAP AI mit DGX-1 und Mellanox Networking https://www.netapp.com/pdf.html?item=/media/17122-nva1138designpdf.pdf
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Designleitfaden: ONTAP AI mit DGX-2 https://www.netapp.com/pdf.html?item=/media/7675-nva1135designpdf.pdf
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