Where to Find Additional Information

05/04/2023

To learn more about the information that is described in this document, see the following resources:

Cnvrg.io ( https://cnvrg.io):
- Cnvrg CORE (free ML platform)
  
  https://cnvrg.io/platform/core
- Cnvrg docs
  
  https://app.cnvrg.io/docs
NVIDIA DGX-1 servers:
- NVIDIA DGX-1 servers
  
  https://www.nvidia.com/en-us/data-center/dgx-1/
- NVIDIA Tesla V100 Tensor Core GPU
  
  https://www.nvidia.com/en-us/data-center/tesla-v100/
- NVIDIA GPU Cloud (NGC)
  
  https://www.nvidia.com/en-us/gpu-cloud/
NetApp AFF systems:
- AFF datasheet
  
  https://www.netapp.com/us/media/d-3582.pdf
- NetApp FlashAdvantage for AFF
  
  https://www.netapp.com/us/media/ds-3733.pdf
- ONTAP 9.x documentation
  
  http://mysupport.netapp.com/documentation/productlibrary/index.html?productID=62286
- NetApp FlexGroup technical report
  
  https://www.netapp.com/us/media/tr-4557.pdf
NetApp persistent storage for containers:
- NetApp Trident
  
  https://netapp.io/persistent-storage-provisioner-for-kubernetes/
NetApp Interoperability Matrix:
- NetApp Interoperability Matrix Tool
  
  http://support.netapp.com/matrix
ONTAP AI networking:
- Cisco Nexus 3232C Switches
  
  https://www.cisco.com/c/en/us/products/switches/nexus-3232c-switch/index.html
- Mellanox Spectrum 2000 series switches
  
  http://www.mellanox.com/page/products_dyn?product_family=251&mtag=sn2000
ML framework and tools:
- DALI
  
  https://github.com/NVIDIA/DALI
- TensorFlow: An Open-Source Machine Learning Framework for Everyone
  
  https://www.tensorflow.org/
- Horovod: Uber’s Open-Source Distributed Deep Learning Framework for TensorFlow
  
  https://eng.uber.com/horovod/
- Enabling GPUs in the Container Runtime Ecosystem
  
  https://devblogs.nvidia.com/gpu-containers-runtime/
- Docker
  
  https://docs.docker.com
- Kubernetes
  
  https://kubernetes.io/docs/home/
- NVIDIA DeepOps
  
  https://github.com/NVIDIA/deepops
- Kubeflow
  
  http://www.kubeflow.org/
- Jupyter Notebook Server
  
  http://www.jupyter.org/
Dataset and benchmarks:
- NIH chest X-ray dataset
  
  https://nihcc.app.box.com/v/ChestXray-NIHCC
- Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Mohammadhadi Bagheri, Ronald Summers, ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases, IEEE CVPR, pp. 3462-3471, 2017TR-4841-0620

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Where to Find Additional Information