Enterprise Infrastructure for the AI Era
Maximize Your GPU Investment
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Meet with an AI infrastructure expert to explore learn how you can boost performance and lower costs — without changing your entire stack.
Zero commitments. Just a practical conversation about your data, your goals, and how to get there faster.
Eliminate training and inference delays
Increase throughput without scaling compute
Feed GPUs with full-speed parallel access and GPU acceleration
Accelerate workflows with GPU-optimized checkpointing and reduced retraining waste
AI is Your Edge to Win–
Is Your Enterprise Ready?
Success with AI demands scalable infrastructure, expertise and a clear roadmap.
Yet, many enterprises face roadblocks that slow adoption and impact performance.
Outdated Architecture
Simplified tools to help you build a strong foundation.
Limited Resources
Advanced tips and templates for tracking progress.
Unclear AI Strategy
Resources to diversify and maximize returns.
Common Challenges Holding Enterprises Back:
Accelerate AI Innovation with the DDN Data Intelligence Platform
AI-Optimized Performance
Designed for high-speed, data-intensive AI workloads to maximize efficiency.
Unified Data Infrastructure
Break down silos and create a seamless AI foundation for enterprise success.
Efficiency at Scale
Deliver 10x faster performance while reducing power consumption by 10x.
15x Fast Modeling Training
Accelerate AI outcomes with optimized infrastructure for large-scale workloads.
Limitless Scalability
Scale AI without constraints—expand seamlessly with zero performance loss.
Power Your AI Strategy with DDN–Get Started Today
The DDN Data Intelligence Platform is purpose-built for AI, delivering unmatched speed, scalability, and efficiency to power data-driven innovation. Simplify complexity, unlock value, and drive real-world results—at any scale.
Why DDN for Enterprise AI
Proven AI Infrastructure
Deployed in 1,500+ global AI environments
Seamless Integration
Works with NVIDIA, HPE, Dell and your existing stack
Engineered for the AI Revolution
Performance at Scale
Train large models 20x fast
Trusted by the Most Advanced Enterprises in the World
Trusted by the World's AI Leaders
Mirko Cestari
HPC and Cloud Technology Coordinator
Ratanaphon Wongnapachant
Founder & CEO
Prethvi Kashinkunti
Senior Data Center Systems Engineer
Ready to Get the Most Out of Your GPUs?
How DDN Solves the GPU Utilization Problem
Train Large Language Models at Unmatched Speed
Accelerate model training and inference with high-throughput data movement and scalable performance. DDN supports even the most compute-intensive workloads across distributed nodes.
Drive AI Decisions in Real Time
Enable low-latency inference at the edge or in-stream — ideal for fraud detection, personalization engines, and trading models that can’t afford delay.
How DDN Solves the GPU Utilization Problem
Feed GPUs At
Full Speed
DDN’s parallel I/O architecture delivers consistent GPU acceleration by eliminating bottlenecks.
Maximize Your GPU Investment
[ GPU ACCELERATION ]
Unify Your Data & Metadata
DDN turns fragmented sources into a single, actionable AI data layer across edge, core, and cloud.
How DDN Makes AI Real
From data prep to inference and RAG, DDN accelerates the entire pipeline with native integrations and orchestration.
Run AI Workflows Faster, Simpler
Deliver at Enterprise Scale
15x faster checkpointing, 75% lower infra costs, and extreme GPU efficiency, all backed by a software-defined platform.
"The real differentiator is DDN. I never hesitate to recommend DDN. DDN is the de facto name for AI Storage in high performance environments."
Marc Hamilton
VP, Solutions Architecture & Engineering NVIDIA
Run fraud detection and risk models faster, using unified real-time analytics.
Accelerate drug discovery with real-time metadata search and secure.
Train models 15x faster and stream massive sensor datasets without bottlenecks.
Deploy AI-powered anomaly detection and reduce infrastructure complexity across clouds.
Enable high-volume data ingestion and AI-powered surveillance
Turning AI Ambition Into Business Outcomes
Explore Other Resources
Optimized for Your AI Workloads
DDN’s storage appliances make deployment, management, and scaling simple even for the largest AI application.
Real-Time Decision Engines
Multi-Model AI Pipelines
LLM Training & Inference
AI Model Versioning & Governance
Train massive language models with ultra-fast data throughput and scale effortlessly as your model sizes grow.
Enable high-speed, AI-driven decisions at the edge or in-stream – with zero compromise on performance or reliability.
Run diverse models in parallel with streamlined access to shared datasets and intelligent workload balancing.
Support reproducibility, compliance, and collaboration with high-performance storage and structured data management.
Simple linear scaling of performance, optimized for AI/ML workloads
"The real differentiator is DDN. I never hesitate to recommend DDN. DDN is the de facto name for AI Storage in high performance environments."
Marc Hamilton
VP, Solutions Architecture & Engineering | NVIDIA
A globally connected team allows for faster development times
Easy access to DDN technical team for expedited collaboration
Feed GPUs At
Full Speed
DDN’s parallel I/O architecture delivers consistent GPU acceleration by eliminating bottlenecks.
Accelerate Training With Smart Checkpointing
Keep GPUs optimized across AI training workflows with 15x faster checkpointing and minimal waste.
Built For AI-Scale Performance
DDN delivers GPU utilization and acceleration at petabyte scale for deep learning and inference.
Where AI Workloads Lose GPU Acceleration Efficiency
Your GPUs Are Starved for Data
Even the fastest compute can’t perform when I/O is bottlenecked by legacy storage.
Slow checkpointing and fragmented pipelines stretch model runtimes and waste cycles.
Training Takes
Too Long
Inefficiency Gets Expensive
More idle time = more hardware, more power, more cost — and less ROI.
"NVIDIA is Powered by DDN"
NVIDIA CEO Jensen Huang and DDN CEO Alex Bouzari discuss seamless data access, real-time processing, and insights are essential for scaling AI workloads.
Turning AI Ambition
Into Business Outcomes
Your 5-Step Guide to Enterprise AI Success
Modern AI workflows demand more than just compute — they require a proven framework to scale from prototype to production. This guide breaks down how leading enterprises build high-performing AI infrastructure that actually delivers results.
Accelerate Training With Smart Checkpointing
Keep GPUs optimized across AI training workflows with 15x faster checkpointing and minimal waste.
Built For AI-Scale Performance
DDN delivers GPU utilization and acceleration at petabyte scale for deep learning and inference.
Trusted by the World's AI Leaders
Mirko Cestari
HPC & Cloud Technology Coordinator
Ratanaphon Wongnapachant
Founder & CEO
Prethvi Kashinkunti
Senior Data Center Systems Engineer
[ GPU ACCELERATION ]
Trusted by the Most Advanced Enterprises in the World
Where AI Workloads Lose GPU Acceleration Efficiency
Your GPUs Are Starved for Data
Even the fastest compute can’t perform when I/O is bottlenecked by legacy storage.
Training Takes
Too Long
Slow checkpointing and fragmented pipelines stretch model runtimes and waste cycles.
Inefficiency Gets Expensive
More idle time = more hardware, more power, more cost — and less ROI.
Trusted by the Most Advanced Enterprises in the World
Calculate Your GPU Efficiency
Every GPU dollar should drive results. DDN's Data Intelligence platform is designed to fully saturate your GPUs, maximizing your investment. Evaluate the true impact of your AI infrastructure with the GPU efficiency ROI calculator.
Eliminate training and inference delays
Increase throughput without scaling compute
Feed GPUs with full-speed parallel access and GPU acceleration
Accelerate workflows with GPU-optimized checkpointing & reduced retraining waste
Stop GPU idle time. Get full GPU acceleration with DDN.
Stop GPU idle time. Get full GPU acceleration with DDN.
"NVIDIA is Powered by DDN"
NVIDIA CEO Jensen Huang and DDN CEO Alex Bouzari discuss seamless data access, real-time processing, and insights are essential for scaling AI workloads.