Enterprise Infrastructure for the AI Era
Deliver Real-Time AI Inference at Any Scale
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See how DDN can accelerate every step of your AI pipeline — from prompt to response.
Zero commitments. Just a practical conversation about your data, your goals, and how to get there faster.
Eliminate latency in LLM inference and RAG workflows
Power real-time AI with GPU-optimized storage
Scale multi-tenant workloads across edge, core, and cloud
Streamline inference pipelines with ultra-fast metadata access
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Outdated Architecture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 Streamline and Scale Your Inference Workflows?
How DDN Powers Real-Time Inference at Any Scale
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 Powers Real-Time Inference at Any Scale
Unified Inference Platform
DDN Infinia ingests, indexes, and serves unstructured data in real time with sub-ms response. Perfect for RAG, LLMs, and analytics pipelines.
Deliver Real-Time AI Inference at Any Scale
[ AI INFERENCING ]
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.
Infinia supports NVIDIA-validated AI stacks
"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
Trusted by global AI innovators
Purpose-built for inference, RAG, and LLM performance
Unified Inference Platform
DDN Infinia ingests, indexes, and serves unstructured data in real time with sub-ms latency — ideal for RAG & LLMs.
GPU-Optimized Performance
Built to maximize GPU utilization with linearly scalable throughput and ultra-low latency.
Hybrid Flexibility
Deploy seamlessly across on-prem, cloud, and edge — accelerating AI in any environment.
Top 3 Bottlenecks in Today's AI Inferencing Workflows
Latency at Scale
As models grow, traditional storage systems can’t serve data fast enough for real-time inference, RAG, and LLM workloads.
RAG and inferencing pipelines stall when object storage isn’t built to organize, index, and retrieve massive volumes of unstructured data efficiently.
Unstructured Data Complexity
Fragmented AI Toolchains
Deploying inference across hybrid environments with disconnected tools increases cost, latency, and operational complexity.
"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.
GPU-Optimized Performance
Built to maximize GPU utilization with linearly scalable throughput and ultra-low latency.
Hybrid Flexibility
Deploy seamlessly across on-prem, cloud, and edge — accelerating AI in any environment.
Trusted by the World's AI Leaders
Mirko Cestari
HPC & Cloud Technology Coordinator
Ratanaphon Wongnapachant
Founder & CEO
Prethvi Kashinkunti
Senior Data Center Systems Engineer
[ AI INFERENCING ]
Trusted by the Most Advanced Enterprises in the World
Top 3 Bottlenecks in Today’s AI Inferencing Workflows
Latency at Scale
As models grow, traditional storage systems can’t serve data fast enough for real-time inference, RAG, and LLM workloads.
Unstructured Data Complexity
RAG and inferencing pipelines stall when object storage isn’t built to organize, index, and retrieve massive volumes of unstructured data efficiently.
Fragmented AI Toolchains
Deploying inference across hybrid environments with disconnected tools increases cost, latency, and operational complexity.
Trusted by the Most Advanced Enterprises in the World
Prove the ROI of Real-Time AI Inference
Eliminate wasted GPU cycles, improve time-to-insight, and scale inference without re-architecture. Talk to our team to see how DDN can optimize your AI operations.
Eliminate latency in LLM inference and RAG workflows
Power real-time AI with GPU-optimized storage
Scale multi-tenant workloads across edge, core, and cloud
Streamline inference pipelines with ultra-fast metadata access
Infrastructure built for sub-ms response, real-time RAG, and LLM-scale performance.
Infrastructure built for sub-ms response, real-time RAG, and LLM-scale performance.
"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.