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Learn how to contributeExample High-performance Jobs for ONTAP AI Deployments
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This section includes examples of various high-performance jobs that can be executed when Kubernetes is deployed on an ONTAP AI pod.
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- NetApp Solutions Documentation
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Artificial Intelligence
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AI Converged Infrastructures
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ONTAP AI with NVIDIA
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EF-Series AI with NVIDIA
- BeeGFS with NetApp E-Series Reference Architecture
- Deploying IBM Spectrum Scale with NetApp E-Series Storage
- NetApp ONTAP and Lenovo ThinkSystem SR670 for AI and ML Model Training Workloads
- 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
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NVIDIA AI Enterprise with NetApp and VMware
- NetApp StorageGRID Data Lake for Autonomous Driving Workloads
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NetApp AI Control Plane
- Introduction
- Concepts and Components
- Hardware and Software Requirements
- Kubernetes Deployment
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NetApp Trident Deployment and Configuration
- Kubeflow Deployment
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Example Kubeflow Operations and Tasks
- Apache Airflow Deployment
- Example Apache Airflow Workflows
- Example Trident Operations
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Example High-performance Jobs for ONTAP AI Deployments
- Performance Testing
- Conclusion
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MLRun Pipeline with Iguazio
- NetApp DataOps Toolkit
- Data Movement with E-Series and BeeGFS for AI and Analytics Workflows
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Use Cases
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Responsible AI and confidential inferencing - NetApp AI with Protopia Image Transformation
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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
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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
- Version history
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Distributed Azure training - Lane detection
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Hybrid Cloud AI Operating System with Data Caching
- Moving Data from a Big Data Environment to an AI Environment
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AI Inferencing at the Edge - NetApp with Lenovo ThinkSystem - Solution Design
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Conversational AI using NVIDIA
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NetApp Orchestration Solution with Run:AI
- Solution Overview
- Solution Technology
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Optimal Cluster and GPU Utilization with Run AI
- 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
- 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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Containers
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Anthos with NetApp
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DevOps with NetApp Astra
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Red Hat OpenShift with NetApp
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Red Hat Openshift Overview
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NetApp Storage Systems Overview
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NetApp Storage Integrations Overview
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Advanced Configuration Options For OpenShift
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Solution Validation and Use Cases
- Videos / Demos
- Additional Information
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VMware Tanzu with NetApp
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Archived Solutions
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Data Migration and Data Protection
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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
- Version history
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Data Protection
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Security
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Enterprise Applications
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Enterprise Databases
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Oracle Database
- 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
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Deploying Oracle Database
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Oracle Database Data Protection
- Oracle Databases on NetApp EF-Series
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Oracle Database Deployment on AWS EC2/FSx Best Practices
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Microsoft SQL Server
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Hybrid Cloud Database Solutions with SnapCenter
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Modern Data Analytics
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NetApp Storage Solutions for Apache Spark
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Big Data Analytics Data to Artificial Intelligence
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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
- 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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NetApp Hybrid Multicloud with VMware
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VMware for Public Cloud
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VMware Hybrid Cloud Use Cases
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NetApp for AWS / VMC
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Protecting Workloads
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Disaster Recovery with VMC on AWS (guest connected)
- Solution overivew
- Technology
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AWS guest-connected storage disaster recovery
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Disaster recovery
- Overview
- Configure SnapMirror relationships and retention schedules
- Deploy and configure Windows SnapCenter Server on premises
- Deploy and configure Veeam Backup Server
- Cloud backup tools and configuration
- SnapCenter database backup for disaster recovery
- Failover
- Restore application VMs with Veeam full restore
- Restore SQL Server application data
- Restore Oracle application data
- Failback
- Conclusion
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- Region Support for NFS Datastores
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NetApp for Azure / AVS
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NetApp for GCP / GCVE
- Application Disaster Recovery with SnapCenter, CVO and Veeam Replication
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Security overview - NetApp Cloud Volumes Service (CVS) in Google Cloud
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Virtualization
- Get Started With NetApp and VMware
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VMware Virtualization for ONTAP
- VMware for Public Cloud
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VMware Hybrid Cloud Use Cases
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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
- Use Cases
- NetApp Virtual Desktop Service Overview
- NetApp HCI Overview
- NVIDIA Licensing
- Deployment
- 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
- ESG Technical Validation: VDI at Enterprise Scale with NetApp Virtual Desktop Service
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VMware Horizon
- FlexPod Desktop Virtualization Solutions
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Demos and Tutorials
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Blogs
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Solution Automation
- FlexPod Solutions
- Legacy NetApp HCI Solutions
- Change Log
- About NetApp Solutions
- Legal Notices