DDN

DDN is a high-performance data storage and management platform designed for data-intensive workloads in enterprise and research environments. The system provides scalable parallel file storage, object storage, and integrated data management capabilities optimized for AI, machine learning, analytics, and high-performance computing (HPC). DDN supports massive data throughput and low-latency access, enabling organizations to handle large-scale training datasets, simulation outputs, and real-time analytics workloads efficiently.

Core capabilities include parallel file systems, tiered storage architectures, data lifecycle management, and advanced caching to accelerate I/O-intensive applications. DDN integrates with popular AI and HPC frameworks, containerized environments, and hybrid cloud architectures, allowing seamless data access across on-premises and cloud resources. It offers multi-protocol support, including POSIX, NFS, SMB, and S3-compatible object storage, enabling flexible integration with existing workflows and applications.