NetApp AIPod · 0 reviews

NetApp AIPod

Enterprise-grade AI infrastructure combining NVIDIA DGX supercomputers with NetApp storage

Artificial Neural Network Software

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About NetApp AIPod

NetApp AIPod, powered by ONTAP AI, is a comprehensive integrated solution designed to accelerate artificial intelligence and deep learning initiatives at enterprise scale. The platform combines NVIDIA DGX-1 supercomputers with NetApp AFF high-performance storage and Cisco networking into a verified, production-ready architecture. ONTAP AI delivers exceptional performance for training and inference workloads while maintaining data accessibility and security. The solution enables organizations to rapidly deploy AI infrastructure without architectural complexity. AiDOOS enhances the AIPod offering by providing marketplace governance, resource optimization, and seamless integration with enterprise deployment frameworks. Organizations leverage AiDOOS to standardize AI infrastructure provisioning, ensure optimal resource utilization across multiple AIPod instances, and streamline governance policies. The platform supports hybrid cloud deployments, enabling flexible scaling and workload distribution across on-premise and cloud environments while maintaining consistent performance and management.

Challenges It Solves

Complex AI infrastructure deployment requiring specialized expertise and integration
Data bottlenecks limiting GPU utilization and model training performance
Difficulty scaling AI initiatives without significant capital expenditure
Lack of unified management across distributed AI computing resources
Storage performance limitations preventing efficient deep learning workflows

Faster model training cycles with optimized data throughput

Reduced infrastructure deployment time and complexity

Improved GPU utilization and compute efficiency

Use Cases

Large-Scale Model Training

Accelerate training of large neural networks and transformers using distributed computing across DGX nodes with direct storage access.

85% Training time reduced by 75-85% versus standard infrastructure

Real-Time Inference Deployment

Deploy production inference workloads requiring low-latency data access and high throughput for serving predictions at scale.

92% Sub-100ms latency inference at high concurrency

Research and Development

Provide research teams with high-performance infrastructure for experimentation and algorithm development across AI domains.

78% Iteration cycles accelerated by 70+ percent

Enterprise Data Analytics

Process massive datasets for analytics, machine learning feature engineering, and predictive model development.

81% Analytics query performance improved 3-4x

Multi-Tenant AI Services

Support multiple teams and projects with resource isolation, quota management, and dedicated performance guarantees.

76% Resource utilization increased to 88% efficiency

Pricing

Pricing available on request

NetApp AIPod pricing is customized based on your team size, integrations, and requirements. AiDOOS will get you a scoped proposal — for free.

Schedule a Meeting

Key Features

Integrated Compute-Storage Architecture

Optimized data flow eliminates performance bottlenecks

Up to 10x faster data access for training workloads

NVIDIA DGX-1 Integration

Enterprise-grade GPU computing with verified compatibility

8 V100 GPUs per node for parallel deep learning

NetApp AFF Storage Performance

Ultra-fast NVMe storage with enterprise reliability

Sub-millisecond latency and 99.999% availability

Unified Management Console

Simplified operations across compute and storage resources

Reduced operational overhead by 60%

Scalable Architecture

Grow infrastructure capacity without redesign

Linear performance scaling across multiple nodes

Enterprise Data Protection

Integrated backup and disaster recovery capabilities

Protect critical AI models and training datasets

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Enterprise Readiness

Data Encryption

Access Control

Audit Logging

Network Isolation

Data Protection

Integrations

8 total apps

Access containerized AI frameworks and pretrained models optimized for DGX-1 hardware

Seamless network integration with verified Cisco switching and fabric architecture

Container orchestration for workload scheduling and resource management across AIPod clusters

Distributed data processing for ETL pipelines feeding AI training workloads

Full compatibility with major deep learning frameworks for model development and training

Hybrid cloud data synchronization for multi-location AI infrastructure

Governance, resource allocation, and deployment automation across AIPod infrastructure

Comprehensive monitoring and logging of compute and storage performance metrics

AiDOOS Managed Deployment

Deploy NetApp AIPod in

AiDOOS handles setup, CRM integration, SSO config, and user provisioning. Your team goes live — not your IT department.

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Deployments

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Adoption rate

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Post-deploy sat.

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Time to value

Prerequisites

Configuration Options

Virtual Delivery Center · A new delivery category

A Virtual Delivery Center for NetApp AIPod

Pre-vetted experts and AI agents in the loop, assembled as a delivery pod. Pay in Delivery Units — universal pricing across roles, seniority, and tech stacks. No hiring, no contracting, no procurement cycle.

Plans from $2,000 — Starter Pack, 10 Delivery Units, 90 days
Refundable on unused Delivery Units, anytime — no questions asked
Re-delivery guarantee on acceptance miss
Pre-flight delivery sizing — you see the plan before you commit

Get a delivery plan for NetApp AIPod What’s a Virtual Delivery Center?

How a Virtual Delivery Center delivers NetApp AIPod

Outcome-based delivery via AiDOOS’s VDC model. Why VDC vs traditional consulting? →

Outcome-Based

Pay for results, not hours

Milestone-Driven

Clear deliverables at each phase

Expert Network

Access to certified specialists

Implementation Timeline

Discover

Requirements & assessment

Integrate

Setup & data migration

Validate

Testing & security audit

Rollout

Deployment & training

Optimize

Performance tuning

Schedule a Meeting

Frequently Asked Questions

What is the typical deployment timeline for NetApp AIPod?

Most deployments complete in 2-4 weeks including hardware setup, ONTAP configuration, and workload optimization. AiDOOS accelerates post-deployment governance and workload orchestration setup.

Can AIPod scale beyond a single node?

Yes. AIPod architectures support multi-node clusters for distributed training. AiDOOS marketplace provides centralized management and resource allocation across multiple AIPod instances.

What frameworks and tools are compatible with AIPod?

ONTAP AI supports TensorFlow, PyTorch, Keras, CUDA, and all major deep learning frameworks. Integration with Kubernetes enables flexible workload orchestration across the infrastructure.

How does AiDOOS enhance the AIPod experience?

AiDOOS provides marketplace governance, automated resource provisioning, cost allocation, and multi-team quota management across AIPod infrastructure, simplifying enterprise deployment and optimization.

What data protection features are included?

NetApp AFF provides RAID, snapshots, replication, and disaster recovery capabilities. ONTAP supports encryption and compliance features for regulated industries.

Is hybrid cloud deployment supported?

Yes. NetApp Cloud Sync enables seamless data synchronization between on-premise AIPod and cloud resources, supporting flexible hybrid AI infrastructure strategies.