DDN A³I® Solutions For NVIDIA® Cloud Partners
DDN A³I solutions (Accelerated, Any-Scale AI) are architected to achieve the most from at- scale AI, Data Analytics and HPC applications running on HGX systems.
Roche
The leading pioneer in biology since 1896, Roche develops innovative medicines, treatments and diagnostics that revolutionize healthcare.
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
NVIDIA Success Story
NVIDIA and DDN collaborate on high-performance AI data centers, enhancing machine learning and scalability with NVIDIA DGX SuperPOD and efficient storage solutions.
University of Texas Southwestern
Empowering researchers with easy access to the sophisticated technology needed for advancements in molecular biology.
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.
NVIDIA DGX SuperPOD H100
DDN A³I Solutions are proven at-scale to deliver optimal data performance for AI, Data Analytics and HPC applications running on GPUs in NVIDIA DGX H100™ systems
NVIDIA DGX BasePOD H100
DDN A³I Solutions are proven at-scale to deliver optimal data performance for AI, Data Analytics and HPC applications running on GPUs in NVIDIA DGX H100™ systems
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.
A³I Datasheet
DDN’s A³I solutions break new ground for AI and Deep Learning, providing unmatched flexibility for your organization’s AI needs.
Guide 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
Graphcore IPU Based Systems with DDN AI400X2
These systems are built around the Intelligence Processing Unit (IPU), a new processor specifically designed for machine learning.
How to Build an AI Center of Excellence
Organizations need to adopt a disciplined approach to implementing and measuring the outcomes of AI projects.
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.
Supermicro X12 Gaudi AI Servers
DDN A³I solutions (Accelerated, Any-Scale AI) are architected to achieve the most from at-scale AI training applications running on Habana Gaudi AI processors.
Cerebras Wafer-Scale Clusters
DDN A³I solutions (Accelerated, Any-Scale AI) are architected to achieve the most from at-scale AI, Data Analytics and HPC applications running on Cerebras CS-2 systems and Cerebras Clusters.
ATOS BullSequana XH3000 Supercomputer
DDN A³I solutions (Accelerated, Any-Scale AI) are architected to achieve the most from at-scale AI, Data Analytics and HPC applications running on BullSequana XH3000 Supercomputer.
STAC Solution Brief
DDN’s Intelligent Infrastructure improves on traditional approaches to simultaneously reduce complexity, drive down cost while also improving performance as datasets grow.
DDN Storage Solutions for KX Systems
DDN parallel storage improves on traditional approaches to simultaneously reduce complexity, drive down cost and improve performance as data datasets grow.
A Guide to Solving 5 of Common AI Infrastructure Challenges
Maybe your applications seem to be running fine, but since when has “fine” been good enough? Instead of celebrating the new business value of AI, you find yourself resetting expectations.
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.
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.