The AI Data Company
DDN is transforming the way customers are storing, managing and using their data for differentiation, discovery and competitive edge. Unmatched performance and scale coupled with expertise gained through more than 20 years experience means we help customers store and access more data faster, on premises and in the cloud.
Resources
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WhitepaperNVIDIA DGX SuperPOD Reference Architecture
The NVIDIA DGX SuperPOD is a first-of-its-kind AI supercomputing infrastructure. The DGX SuperPOD delivers ground-breaking performance, deploys in weeks as a fully integrated system, and is designed to solve the world's most challenging computational problems. -
E-bookGuide to Enterprise AI Infrastructure
NVIDIA and DDN have collaborated to offer an easily consumable enterprise data center solution for competitive organizations with ambitious AI initiatives. -
ReportThe AI Data Factory: Accelerating the Process from Ingest to Monetization
The process of extracting value from data so that it can be monetized by a company to improve its financial position is not new. But it has evolved in terms of sophistication, scope and importance to the business.
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WhitepaperStreamlining AI Data Management: Five Recommendations to Optimize Pipelines
Examine common issues and considerations in AI data management and the data journey in AI workloads, and explore how to address these issues using a comprehensive AI data management system. -
VideoDemocratizing AI: NVIDIA & DDN's High-Performance AI Data Storage Solution for Large Language Models
Explore the collaboration between DDN and NVIDIA to optimize generative AI storage and performance. Discover the advancements made in data movement, checkpointing, and seamless networking for AI applications at scale. Learn about the launch of our high-density, cost-effective storage systems designed for efficient flash deployments. -
BlogEnhancing Data Center Efficiency For IT Executives Through Innovative Data Management
Today’s enterprise IT executives face unprecedented challenges—managing data explosion, adopting evolving tech, and achieving more with smaller teams. Their task is being made even more challenging due to the emerging demand to turn…
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WhitepaperAI Engineering: A New Discipline
AI engineering is an emerging discipline that focuses on applying tools, systems, and processes to enable AI to perform effectively in various real-world contexts. -
VideoWebinar On-Demand: Maximizing Efficiency for Generative AI
Generative AI, like most at-scale computing, presents technology challenges unlike anything you have done before, and it may appear exceedingly difficult: to meet them, you need end-to-end integration and full-stack optimization in the most efficient way… -
BlogBuilding Your Generative AI Center of Excellence
Building an AI Center of Excellence allows you to focus on AI-Speicifc challenges, build expertise, and collaborate between teams while moving towards a new, AI-powered future.
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WhitepaperHow to Build an AI Center of Excellence to Accelerate AI Expertise
A sound AI strategy should lay out clear guidelines for evaluating prospective projects in a business context, specifying time frames, putting metrics in place to measure success, and identifying approved tools and methodologies. -
VideoEnhancing Generative AI Storage and Performance: Collaboring with NVIDIA
Explore the collaboration between DDN and NVIDIA to optimize generative AI storage and performance. Discover the advancements made in data movement, checkpointing, and seamless networking for AI applications at scale. Learn about the launch of our high-density, cost-effective storage systems designed for efficient flash deployments. -
BlogDDN and NVIDIA: Your Key to Creating an AI Center of Excellence
The biggest challenge for forward-looking enterprises is that AI can be a challenge to deploy at scale without the right tools, skills and infrastructure. This is why DDN and NVIDIA have been working together to help...
Biting the hand that feeds IT
