aipod_nv_conclusion_add_info.adoc

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sidebar	ai/aipod_nv_conclusion_add_info.html	NetApp AI, AI, Artificial Intelligence, ML, Machine Learning, NVIDIA, NVIDIA AI Enterprise, NVIDIA BasePOD, NVIDIA DGX	NetApp AIPod with NVIDIA DGX Systems - Where to Find Additional Information

NetApp AIPod with NVIDIA DGX Systems - Conclusion and Additional Information

This section includes references for additional information for the NetApp AIPod with NVIDIA DGX systems.

Conclusion

The DGX BasePOD architecture is a next-generation deep learning platform that requires equally advanced storage and data management capabilities. By combining DGX BasePOD with NetApp AFF systems, the NetApp AIPod with DGX systems architecture can be implemented at almost any scale up to 48 DGX H100 systems on a 24-node AFF A900 cluster. Combined with the superior cloud integration and software-defined capabilities of NetApp ONTAP, AFF enables a full range of data pipelines that spans the edge, the core, and the cloud for successful DL projects.

Additional Information

To learn more about the information described in this document, please refer to the following documents and/or websites:

• NetApp ONTAP data management software — ONTAP information library

  https://docs.netapp.com/us-en/ontap-family/

• NetApp AFF A900 storage systems-

  https://www.netapp.com/data-storage/aff-a-series/aff-a900/

• NetApp ONTAP RDMA information-

  https://docs.netapp.com/us-en/ontap/nfs-rdma/index.html

• NetApp DataOps Toolkit

  https://github.com/NetApp/netapp-dataops-toolkit

• NetApp Astra Trident

  Overview

• NetApp GPUDirect Storage Blog-

  https://www.netapp.com/blog/ontap-reaches-171-gpudirect-storage/

• NVIDIA DGX BasePOD

  https://www.nvidia.com/en-us/data-center/dgx-basepod/

• NVIDIA DGX H100 systems

  https://www.nvidia.com/en-us/data-center/dgx-h100/

• NVIDIA Networking

  https://www.nvidia.com/en-us/networking/

• NVIDIA Magnum IO GPUDirect Storage

  https://docs.nvidia.com/gpudirect-storage

• NVIDIA Base Command

  https://www.nvidia.com/en-us/data-center/base-command/

• NVIDIA Base Command Manager

  https://www.nvidia.com/en-us/data-center/base-command/manager

• NVIDIA AI Enterprise

  https://www.nvidia.com/en-us/data-center/products/ai-enterprise/

Acknowledgements

This document is the work of the NetApp Solutions and ONTAP Engineering teams- David Arnette, Olga Kornievskaia, Dustin Fischer, Srikanth Kaligotla, Mohit Kumar and Rajeev Badrinath. The authors would also like to thank NVIDIA and the NVIDIA DGX BasePOD engineering team for their continued support.