Standard workload
Multiple concurrent LLM or fine-tuning training jobs.
Periodic checkpoints, where the compute requirements dominate the data I/O requirements significantly.
NetApp AFX is high-performance, ultra-scalable, disaggregated AI storage. Built on our enterprise-grade ONTAP storage OS, AFX is engineered to supercharge your entire AI data pipeline. Eliminate the complexity and compromise of traditional AI storage.
NVIDIA
Cross Sign
NetApp
This storage solution was validated in multiple stages by NetApp and NVIDIA to ensure that performance and scalability meet the requirements for NVIDIA DGX SuperPOD. The configuration was validated using a combination of synthetic workloads and real-world ML/DL workloads to verify both maximum performance and application interoperability.
Standard workload
Periodic checkpoints, where the compute requirements dominate the data I/O requirements significantly.
Enhanced workload
Periodic checkpoints, where data I/O performance is an important factor for end-to-end training time.
Performance workload
The configurations shown in this document meet or exceed the values.
AFX + ONTAP
NetApp AFX is high-performance, ultra-scalable, disaggregated AI storage.
Built on our enterprise-grade ONTAP storage OS, AFX is engineered to supercharge your entire
AI data pipeline. Eliminate the complexity and compromise of traditional AI storage.
Parallel NFS delivers the throughput that AI workloads demand while maintaining compatibility and eliminating complexity.
Safeguard sensitive data with secure multi-tenancy while optimizing resources with granular QoS for compliant and responsible AI.
Only NetApp delivers native ONTAP integrations across every major cloud giving you ultra-efficient data access and mobility across on-premises and cloud environments with NetApp SnapMirror® replication and intelligent caching via FlexCache®.
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
Because it is ONTAP, AFX integrates seamlessly into your enterprise data estate and delivers granular, policy-based security so that AI accesses only the data you intend.
Using ONTAP Snapshot copies and FlexClone, teams can instantly create space-efficient copies of datasets for parallel development and testing.
Customers can seamlessly manage, protect, and mobilize data, at the lowest cost, across hybrid clouds with a single storage OS and the industry’s richest data services suite.
FlexCache and SnapMirror replication technologies enable streamlined, space-efficient and automated data pipelines from data sources across the enterprise.
Multi-protocol access to data using NAS and object protocols enables new workflows optimized for ingest and data engineering tasks.
Instantly discover and curate relevant, always-fresh data across on-premises and cloud environments witha global, structured view, automated capture of change data and synchronization, and rapid semanticsearch. Ramp AI projects faster, boost result accuracy, and slash time to insight.
At the heart of AIDE is a capability unlike anything else in the market: an automatically created and continuously updated global metadata catalog with powerful semantic search across your data estate.
What truly differentiates this is what AIDE does beyond standard file system metadata. AIDE actively analyzes file content to semantically enrich metadata, understanding what data actually means, not just where it sits. The result is a living, intelligent catalog that empowers enterprises to find, curate, use, and govern the right data at every stage of the AI data pipeline: from selection and transformation, through retrieval and serving, to AI applications and agents.
NETAPP AI DATA ENGINE
Simplify and secure AI data pipelines with NetApp® AI Data Engine™. Get unrivaled data clarity, efficiency, and governance from data preparation to GenAI app deployment.
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