DDN
DDN is the world’s leading data intelligence platform that reliably accelerates massive data sets across AI and HPC workloads from edge to core to cloud. Over the last two decades, DDN has established itself as the data intelligence and management of choice for over 11,000 enterprises, government, and public-sector customers, including many of the world’s leading financial services firms, life science organizations, manufacturing and energy companies, research facilities, and web and cloud service providers. Data-intensive, global organizations utilize DDN to solve complex business challenges with: • 500,000+ GPUs enabled • 100% GPU utilization • 100X faster AI application acceleration DDN is the data intelligence platform of choice deployed at Nvidia to enable Nvidia to supercharge the global AI economy
DDN
DDN is a global leader in AI data intelligence platforms, providing solutions that accelerate data processing and optimize GPU performance for various industries.
About
Needs Assessment
Active buying signals and potential business opportunities
Technology Requirements
AI data intelligence platform
High-performance storage solutions
Cloud data services
E-waste recycling technologies
GPU-optimized solutions
Service Requirements
Tailored solutions
Dedicated support
E-waste management services
AI infrastructure expertise
Infrastructure Requirements
GPU-based platforms
Cloud infrastructure
Hybrid cloud solutions
High-performance data solutions
Scalable storage
Talent Requirements
Skills to support AI data management
Expertise to handle high performance infrastructure
AI Insights
Growth Trajectory
DDN demonstrates significant growth potential, indicated by their expansion into new markets like telecommunications and sovereign AI, coupled with substantial investments in AI infrastructure.
Market Opportunity
DDN's strongest market opportunity lies in its position as a global leader in AI data intelligence platforms, enabling them to capitalize on the increasing demand for high-performance data solutions for AI and HPC workloads.
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