Research, Whitepapers
Accelerate Artificial Intelligence Initiatives with DDN and NVIDIA at Any Scale
Data now plays such a prominent role in determining business success that 98% of organizations surveyed by ESG are in some phase of data-driven digital transformation.
Whitepapers
AI Engineering: A New Discipline
AI engineering is an emerging discipline that focuses on applying tools, systems, and processes to enable AI to perform effectively.
Whitepapers
Evaluating Infrastructure Options for Enterprise Development
Although the promise and attraction of AI is well appreciated by IT and business decision-makers alike, it’s far less clear how organizations should begin their journey to enterprise-class AI.
Whitepapers
How to Build an AI Center of Excellence
Organizations need to adopt a disciplined approach to implementing and measuring the outcomes of AI projects.
Whitepapers
Infinia Whitepaper
DDN Infinia gives fluid control of data from edge to core and core to cloud, while maximizing the capabilities of the underlying infrastructure, including storage, network and compute.
Whitepapers
Large Language Models
In this white paper, we take a platform approach to accelerate LLMs and show how GPU, memory, and storage collectively contribute to overall LLM performance.
Whitepapers
LLM Checkpointing Efficiency is a Critical Blocker to AI Productivity
In the race toward more useful and more intelligent AI systems, high-performance computing (HPC) continues to be the backbone of AI development
Whitepapers
Streamlining AI Data Management
For supreme AI data management, the AI data lifecycle needs a clear, continuous flow, both for training of AI models, and for applying AI models to real time decision making.
Whitepapers
The AI Data Factory
Data monetization is now led by market-driven business priorities and outcomes, expressed as measurable results that affect the bottom line.