NetApp Solutions
- NetApp Solutions Documentation
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Artificial Intelligence
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AI Converged Infrastructures
- NVA-1173 NetApp AIPod with NVIDIA DGX Systems
- NetApp AFF A400 with Lenovo ThinkSystem SR670 V2 for AI and ML Model Training
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NetApp AIPod with NVIDIA
- Overview
- NetApp AIPod with NVIDIA DGX Systems
- ONTAP AI with NVIDIA DGX A100 Systems Design Guide
- ONTAP AI with NVIDIA DGX A100 Systems Deployment Guide
- ONTAP AI with NVIDIA DGX A100 Systems and Mellanox Spectrum Ethernet Switches Design Guide
- ONTAP AI with NVIDIA DGX A100 Systems and Mellanox Spectrum Ethernet Switches Deployment Guide
- EF-Series AI with NVIDIA
- BeeGFS with NetApp E-Series Reference Architecture
- Deploying IBM Spectrum Scale with NetApp E-Series Storage
- NetApp AFF A800 and Fujitsu Server PRIMERGY GX2570 M5 for AI and ML Model Training Workloads
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Data Pipelines, Data Lakes and Management
- Amazon FSx for NetApp ONTAP (FSx ONTAP) for MLOps
- Hybrid Multicloud MLOps with Domino Data Lab and NetApp
- NVIDIA AI Enterprise with NetApp and VMware
- NetApp StorageGRID Data Lake for Autonomous Driving Workloads
- Open Source MLOps with NetApp
- MLRun Pipeline with Iguazio
- NetApp DataOps Toolkit
- Data Movement with E-Series and BeeGFS for AI and Analytics Workflows
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Vector Database solution with NetApp
- Overview
- Introduction
- Solution Overview
- Vector Database
- Technology requirement
- Deployment Procedure
- Solution Verification
- Vector database with Instaclustr using PostGreSQL: pgvector
- Vector Database Use Cases
- Conclusion
- Appendix A: values.yaml
- Appendix B: prepare_data_netapp_new_py
- Appendix C: verify_data_netapp.py
- Appendix D: docker_compose.yml
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Use Cases
- Responsible AI and confidential inferencing - NetApp AI with Protopia Image Transformation
- Sentiment analysis with NetApp AI
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Distributed training in Azure - Click-Through Rate Prediction
- Introduction
- Technology overview
- Software requirements
- Cloud resource requirements
- Click-through rate prediction use case summary
- Setup
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Click through rate prediction data processing and model training
- Libraries for data processing and model training
- Load Criteo Click Logs day 15 in Pandas and train a scikit-learn random forest model
- Load Day 15 in Dask and train a Dask cuML random forest model
- Monitor Dask using native Task Streams dashboard
- Training time comparison
- Monitor Dask and RAPIDS with Prometheus and Grafana
- Dataset and Model Versioning using NetApp DataOps Toolkit
- Jupyter notebooks for Reference
- Conclusion
- Where to find additional information
- Distributed Azure training - Lane detection
- Hybrid Cloud AI Operating System with Data Caching
- Moving Data from a Big Data Environment to an AI Environment
- AI Inferencing at the Edge - NetApp with Lenovo ThinkSystem - Solution Design
- Conversational AI using NVIDIA
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NetApp Orchestration Solution with Run:AI
- Executive Summary
- Solution Overview
- Solution Technology
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Optimal Cluster and GPU Utilization with Run AI
- Overview
- Run AI Installation
- Run AI Dashboards and Views
- Creating Projects for Data Science Teams and Allocating GPUs
- Submitting Jobs in Run AI CLI
- Achieving High Cluster Utilization
- Fractional GPU Allocation for Less Demanding or Interactive Workloads
- Achieving High Cluster Utilization with Over-uota GPU Allocation
- Basic Resource Allocation Fairness
- Over-Quota Fairness
- Saving Data to a Trident-Provisioned PersistentVolume
- Conclusion
- Testing Details for Section 4.8
- Testing Details for Section 4.9
- Testing Details for Section 4.10
- Where to Find Additional Information
- NetApp ONTAP AI for Autonomous Driving Workloads Solution Design
- NetApp ONTAP AI Reference Architecture for Healthcare: Diagnostic Imaging
- NetApp ONTAP AI Reference Architecture for Financial Services Workloads
- Generative AI and NetApp Value
- AI Deployment with NetApp E-Series and BeeGFS
- Quantum StorNext with NetApp E-Series Systems Design Guide
- Quantum StorNext with NetApp E-Series Systems Deployment Guide
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AI Converged Infrastructures
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Modern Data Analytics
- Cloud Data Management with NetApp File-Object Duality and AWS SageMaker
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Apache Kafka workloads with NetApp NFS storage
- Introduction
- NetApp solution for silly rename issue in NFS to Kafka workload
- Functional validation - Silly rename fix
- Why NetApp NFS for Kafka workloads?
- Performance overview and validation in AWS - Cloud Volume ONTAP
- Performance overview and validation in AWS - FSx for NetApp ONTAP
- Performance overview and validation with AFF on-premises
- Conclusion
- Where to find additional information
- Confluent Kafka with NetApp ONTAP storage controllers
- NetApp Storage Solutions for Apache Spark
- Big Data Analytics Data to Artificial Intelligence
- Best practices for Confluent Kafka
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NetApp hybrid cloud data solutions - Spark and Hadoop based on customer use cases
- Solution overview
- Data fabric powered by NetApp for big data architecture
- Hadoop data protection and NetApp
- Overview of Hadoop data protection use cases
- Use case 1 - Backing up Hadoop data
- Use case 2 - Backup and disaster recovery from the cloud to on-premises
- Use case 3 - Enabling DevTest on existing Hadoop data
- Use case 4 - Data protection and multicloud connectivity
- Use case 5 - Accelerate analytic workloads
- Conclusion
- NetApp and Dremio’s Next Generation Hybrid Iceberg Lakehouse Solution
- Different Solutions for Different Analytics Strategies Solution Brief
- NetApp StorageGRID with Splunk SmartStore
- NetApp E-Series E5700 and Splunk Enterprise
- Apache Spark Workload with NetApp Storage Solution (Deployment Guide)
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Public and Hybrid Cloud
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NetApp Hybrid Multicloud with VMware
- VMware for Public Cloud
- VMware Hybrid Cloud Use Cases
- NetApp for AWS / VMC
- NetApp for Azure / AVS
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NetApp for GCP / GCVE
- Overview
- Protecting Workloads on GCP / GCVE
- Migrating Workloads on GCP / GCVE
- Region Support for NetApp CVS NFS Datastores
- Security overview - NetApp Cloud Volumes Service (CVS) in Google Cloud
- BlueXP Disaster Recovery
- VMware Sovereign Cloud
- NetApp Hybrid Multicloud with Red Hat OpenShift
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NetApp Hybrid Multicloud with VMware
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Virtualization
- Virtualization Overview
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VMware Virtualization
- VMware Virtualization for ONTAP
- VMware vSphere Foundation
- VMware Cloud Foundation
- Migration of VMs
- VMware for Public Cloud
- VMware Hybrid Multicloud Use Cases
- VMware vSphere Automation
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Virtual Desktops
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Virtual Desktop Services (VDS)
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Hybrid Cloud VDI with NetApp Virtual Desktop Service
- Overview
- Use Cases
- NetApp Virtual Desktop Service Overview
- NetApp HCI Overview
- NVIDIA Licensing
- Deployment of VDS
- Hybrid Cloud Environment
- Single Server Load Test with Login VSI
- Management Portal
- User Management
- Workspace Management
- Application Management
- ONTAP features for Virtual Desktop Service
- Data Management
- Operation Management
- Tools and Logs
- GPU Considerations
- Solutions for industry
- Conclusion
- Where to Find Additional Information
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Hybrid Cloud VDI with NetApp Virtual Desktop Service
- VMware Horizon
- FlexPod Desktop Virtualization Solutions
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Virtual Desktop Services (VDS)
- Demos and Tutorials
- Hyper-V Virtualization
- OpenShift Virtualization
- Proxmox Virtualization
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Containers
- Anthos with NetApp
- DevOps with NetApp Astra
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Red Hat OpenShift with NetApp
- Solution Overview
- Red Hat Openshift Overview
- NetApp Storage Systems Overview
- NetApp Storage Integrations Overview
- Advanced Configuration Options
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Solution Validation and Use Cases
- Overview
- Deploy a Jenkins CI/CD Pipeline with Persistent Storage
- Configure Multi-tenancy on Red Hat OpenShift with NetApp ONTAP
- Red Hat OpenShift Virtualization with NetApp ONTAP
- Advanced Cluster Management for Kubernetes on Red Hat OpenShift with NetApp
- Data Protection using Third party tools
- Videos / Demos
- Additional Information
- VMware Tanzu with NetApp
- Archived Solutions
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Databases
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Oracle Database
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AWS Cloud
- Oracle HA in AWS EC2 with Pacemaker Clustering and FSx ONTAP
- Simplified, Automated Oracle Deployment on Amazon FSx ONTAP with iSCSI
- Oracle in VMware Cloud on AWS with guest-mounted FSx ONTAP
- Oracle Active Data Guard Cost Reduction with Amazon FSx ONTAP
- Quick Recovery and Clone of Oracle VLDB with Amazon FSx ONTAP
- Oracle 19c in Standalone Restart on AWS FSx/EC2 with NFS/ASM
- Oracle Database Deployment and Protection on AWS FSx/EC2 with iSCSI/ASM
- Oracle Database Deployment on AWS EC2 and FSx Best Practices
- Azure Cloud
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On-Premises/Hybrid Cloud
- Oracle RAC Deployment and Protection in VCF with vVols
- Oracle SI Deployment and Protection in VCF with vVols
- Simplified, Automated Oracle Deployment on NetApp C-Series with NFS
- Simplified, Automated Oracle Deployment on NetApp ASA with iSCSI
- Oracle 19c RAC Databases on FlexPod DataCenter with Cisco UCS and NetApp AFF A800 over FC
- SAP with Oracle on UNIX and NFS with NetApp Clustered Data ONTAP
- Deploying Oracle Database
- Automated Oracle Data Protection
- Oracle Databases on NetApp EF-Series
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AWS Cloud
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Microsoft SQL Server
- Backup and Recovery for Microsoft SQL Server on AWS FSx ONTAP
- SQL Server on AWS EC2 using Amazon FSx ONTAP
- SQL Server on Azure NetApp Files
- SAP with Microsoft SQL Server on Windows Using Clustered Data ONTAP
- Modernizing Microsoft SQL Server
- Best practice guide for Microsoft SQL Server with ONTAP
- Best Practices Guide for Microsoft SQL Server with NetApp EF-Series
- Open Source Databases
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SnapCenter for Databases
- SnapCenter Oracle Clone Lifecycle
- Oracle Database Backup, Recovery, and Clone on ANF
- BlueXP SaaS for Oracle - Azure
- BlueXP SaaS for Oracle - AWS
- Hybrid Cloud Database Solutions with SnapCenter
- DB Automation Toolkits
- DB Sizing Toolkits
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Oracle Database
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Data Migration and Data Protection
- ONTAP cyber vault
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Data Migration
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Best-Practice Guidelines for NetApp XCP
- Introduction
- NetApp XCP
- Migration workflow
- File analytics
- Deployment steps
- Sizing guidelines
- Performance tuning
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Customer scenarios
- Overview
- Data lake to ONTAP NFS
- High-performance computing to ONTAP NFS
- Using the XCP Data Mover to migrate millions of small files to flexible storage
- Using the XCP Data Mover to migrate large files
- Duplicate files
- Specific date-based scan and copy of data
- Creating a CSV file from SMB/CIFS share
- Data migration from 7-Mode to ONTAP
- CIFS data migration with ACLs From a source storage box to ONTAP
- Best practice guidelines and recommendations
- Troubleshooting
- Where to find additional information
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Best-Practice Guidelines for NetApp XCP
- Data Protection
- Security
- Solution Automation
- SAP & SAP HANA
- FlexPod Solutions
- Change Log
- About NetApp Solutions
- Legal notices