NetApp ONTAP AI with NVIDIA DGX Integration Pack
Brand: NetApp | Category: Accessories & Components
SKU: AIPOD-ONTAP-NV-ENT | Part #: AIPOD-ONTAP-NV-ENT | MPN: AIPOD-ONTAP-NV-ENT
Contact for Pricing — Request a Quote
About the NetApp ONTAP AI with NVIDIA DGX Integration Pack
The NetApp ONTAP AI with NVIDIA DGX Integration Pack (AIPOD-ONTAP-NV-ENT) is a converged AI infrastructure solution that brings together NetApp's enterprise storage platform with NVIDIA compute systems to accelerate machine learning and deep learning workloads. This validated reference architecture combines NetApp AFF A-Series or AFF C-Series All-Flash Systems running ONTAP with NVIDIA DGX Systems—including DGX A100, DGX H100, and DGX BasePOD compatible platforms—to deliver a production-ready, NVIDIA-validated architecture for demanding AI operations.
Storage architects and AI infrastructure teams benefit from NetApp's comprehensive data management capabilities, including near-instantaneous dataset cloning via ONTAP FlexClone, multi-protocol support (NFS v3, NFS v4.1 over RDMA, SMB/CIFS, iSCSI, NVMe/FC, and NVMe/TCP), and enterprise-grade data protection through NetApp SnapMirror, SnapVault, and ONTAP Snapshot copies. The solution provides ONTAP NSE and NVE encryption (FIPS 140-2 compliant), Storage Virtual Machine isolation for multi-tenancy, and seamless MLOps integration via the NetApp AI DataOps Toolkit with MLflow and Kubeflow compatibility. High-speed networking options include 25/100GbE Ethernet and optional InfiniBand HDR fabric, while Kubernetes deployments leverage the NetApp Trident CSI Driver. ONTAP's data efficiency services—inline deduplication, inline compression, compaction, and thin provisioning—optimize resource utilization across your on-premises enterprise datacenter.
Target Workloads & Enterprise Scenarios
- AI and ML training pipelines with accelerated GPU compute and low-latency storage access
- Deep learning inference deployments requiring instant clone provisioning and rapid iteration cycles
- Data analytics and feature engineering at scale with efficient multi-protocol data access
- MLOps pipeline orchestration with Kubernetes-native storage and data governance
- Multi-tenant AI environments leveraging ONTAP Storage Virtual Machines for workload isolation
For detailed specifications, compatibility verification, and integration planning, contact Omnixon Global to request a formal quotation on the AIPOD-ONTAP-NV-ENT platform.
Technical Specifications
| Brand | NetApp |
| Category | Accessories & Components |
| SKU | AIPOD-ONTAP-NV-ENT |
| Part Number | AIPOD-ONTAP-NV-ENT |
| Condition | New |
| Manufacturer Part Number | AIPOD-ONTAP-NV-ENT |
| Solution Type | Validated Reference Architecture — Converged AI Infrastructure |
| Storage Platform | NetApp AFF A-Series or AFF C-Series All-Flash Systems running ONTAP |
| Compute Platform | NVIDIA DGX Systems (DGX A100, DGX H100, DGX BasePOD compatible) |
| Data Management Software | NetApp ONTAP (9.x current release train) |
| Primary Storage Protocol | NFS v3 / NFS v4.1 over RDMA (NFS/RDMA) |
| Secondary Supported Protocols | NFS, SMB/CIFS, iSCSI, NVMe/FC, NVMe/TCP |
| Network Fabric | High-Speed Ethernet (25/100GbE) and InfiniBand HDR (optional) |
| Container Storage Interface | NetApp Trident CSI Driver for Kubernetes |
| Cloning Technology | ONTAP FlexClone (near-instantaneous, space-efficient dataset and volume cloning) |
| Data Protection | NetApp SnapMirror, SnapVault, ONTAP Snapshot copies |
| Encryption | ONTAP NSE (NetApp Storage Encryption) and NVE (NetApp Volume Encryption), FIPS 140-2 compliant |
| Multi-Tenancy | ONTAP Storage Virtual Machines (SVMs) for workload and namespace isolation |
| MLOps Integration | NetApp AI DataOps Toolkit with MLflow and Kubeflow compatibility |
| Data Efficiency Services | Inline deduplication, inline compression, compaction, thin provisioning |
| NVIDIA Validation Status | NVIDIA-Validated Architecture (NVA) |
| Management Interface | NetApp ONTAP System Manager, REST API, ONTAP CLI |
| Deployment Model | On-premises enterprise datacenter |
| Target Workloads | AI/ML training, deep learning, inference, data analytics, MLOps pipelines |
Frequently Asked Questions about NetApp ONTAP AI with NVIDIA DGX Integration Pack
What is the lead time on the NetApp ONTAP AI with NVIDIA DGX Integration Pack?
Lead time depends on stock position. Submit the RFQ form on this page with your quantity and target date — our pre-sales team responds promptly with a vendor-confirmed quote.
What support applies?
Full manufacturer support — sourced exclusively through distribution so serial-number registration and support claims process cleanly under your company name. Extended support and on-site support contracts available at quote time.
How do I get a formal quote?
Use the RFQ form on this page with quantity and destination country. Our pre-sales team responds with a vendor-confirmed quote, availability, and any matching support or commissioning options.