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Run AI wherever your data lives
Thanks to native NetApp ONTAP® integrations and first-party services on AWS, Azure, and Google Cloud, you can streamline your AI pipelines with unified data access across on-premises and cloud environments. This makes it simple to manage, protect, and mobilize data using ultra-efficient replication and intelligent caching.
HYBRID AND MULTICLOUD STORAGE
Wherever your AI happens, native first-party cloud storage
powered by NetApp ONTAP gives you seamless core-to-multicloud data
connectivity and mobility. No other storage vendor comes close.
With NetApp FlexCache® technology, a feature of ONTAP software, cache only the actively-read data, rather than entire files or volumes, either locally within a data center or geographically dispersed at remote sites.
Action: Discover FlexCache https://www.netapp.com/blog/flexcache-global-data-gigaom-radar/
NetApp SnapMirror® replicates data at high speeds over LAN or WAN, so you get high data availability and fast data replication in both virtual and traditional environments.
Action: Explore SnapMirror https://www.netapp.com/snapmirror-data-replication/
HYBRID AI TRAINING WITH UNION.AI
Union.ai’s hybrid orchestration platform integrates seamlessly with NetApp ONTAP and FlexCache to accelerate AI/ML training workflows. This solution allows data to remain securely on premises while leveraging cloud-based GPU compute for AI training workloads. NetApp FlexCache helps ensure only necessary data is cached in the cloud, enabling efficient, secure, and scalable hybrid AI/ML pipelines.
Stored on NetApp ONTAP for compliance and security.
Scalable GPU training on EKS/GKE/AKS.
Evaluate at your scale
Describe what you are planning and how your data is handled today. The guide asks a few questions and gives you three readings on whether your data is secure, servable, and recoverable for AI, with the gaps to close first.
e.g. I want to build a sales agent
Or start with
Al training
Al inference
RAG
Al agents
Analytics
EVERY CLOUD, EVERY WORKLOAD
Enterprises are adopting hybrid multicloud MLOps architectures in order to take advantage of available
compute environments across different regions, data centers, and clouds - balancing cost, availability, and
performance.
01
Deploy hybrid AI training with Union.ai and NetApp FlexCache
Learn how to deploy a hybrid AI training environment using Union.ai orchestration with NetApp FlexCache and Trident™ for Kubernetes storage provisioning.
https://docs.netapp.com/us-en/netapp-solutions-ai/pdfs/Hybrid_AI_Training_with_Union_ai.pdf02
Cloud is critical for AI. We have you covered.
Develop AI in the cloud before moving on premises. Or deploy your AI factory entirely in the cloud. Wherever your AI happens, native first-party cloud storage powered by NetApp ONTAP gives you seamless core-to-multicloud data connectivity and mobility. No other storage vendor comes close.
03
Hybrid Multicloud MLOps with Domino Data Lab and NetApp
When you pair Domino Nexus with NetApp, you have the flexibility to schedule workloads across environments without having to worry about data availability. In other words, you have the ability to send your workloads and your data to the appropriate compute environment, enabling you to accelerate your AI deployments while navigating regulations around data privacy and sovereignty.
https://www.netapp.com/forms/ai-readiness-assessment-registrationpage/
