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NetApp artificial intelligence solutions

NetApp MLOps and data management solutions

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Streamline your AI/ML workflows with NetApp's comprehensive MLOps and data management solutions. From open-source platforms to enterprise-grade tools, our solutions enable efficient model development, deployment, and scaling across hybrid cloud environments while ensuring data consistency and performance.

Open source MLOps platforms
Open source MLOps with NetApp
NetApp Trident configuration for AIPod
Apache Airflow deployment and integration
JupyterHub deployment and data operations
MLflow deployment and traceability
Advanced MLOps workflows
Kubeflow deployment and notebooks
Train image recognition models with Kubeflow
Single-node AI workload execution
Distributed AI workload execution
Data ingestion with SnapMirror
Enterprise MLOps solutions
Hybrid MLOps with Domino Data Lab
Cross-environment data access with Domino
NVIDIA AI Enterprise with NetApp and VMware
NVIDIA NGC software integration
Cloud MLOps and AWS integration
Amazon FSx for ONTAP MLOps
Integrate FSx ONTAP as private S3 in SageMaker
FSx ONTAP for SageMaker model training
Build simplified MLOps pipeline with FSx
Vector databases and AI applications
Vector database solution with NetApp
Milvus cluster setup with Kubernetes
Vector database protection with SnapCenter
Vector database performance validation
Vector database use cases
Data management tools and storage
NetApp DataOps Toolkit
StorageGRID data lake for autonomous driving
Disaster recovery with SnapMirror