Case Study: Helmholtz Munich accelerates AI-driven research discoveries with DDN EXAScaler

Helmholtz Munich accelerates AI-driven discoveries with DDN's 4-system EXAScaler Lustre deployment

Helmholtz Munich, a major German research center, faced challenges with its outdated and fragmented storage infrastructure. The systems were hindering compute performance and reliability, unable to scale to meet the demands of modern, data-intensive AI research applications. This was a significant obstacle for their work in areas like genome decoding and epidemiology.

DataDirect Networks implemented a centralized DDN storage solution using an EXAScaler Lustre file system and SFA NVMe systems with GPU integration. This provided faster data throughput and direct data paths between storage and GPUs. The solution from DataDirect Networks significantly improved performance, speed, and reliability, accelerating researchers' discovery process and creating a future-proof infrastructure for AI applications.

Helmholtz Munich