(INSIDE HPC) – At ISC 2025 in Hamburg, VDURA highlighted its collaboration with Goethe University Frankfurt. Researchers are using AI storage solutions for scientific research to power breakthrough discoveries in physics. By pairing one of Europe’s largest AMD GPU clusters with VDURA’s V5000 all-Flash NVMe appliance, the university is accelerating AI-driven workflows and digital twin simulations at scale.
The V5000, built for AI factories, is designed to meet the requirement of high-demand AI pipelines as generative AI models move into production. Built on the VDURA V11 data platform, the system delivers GPU-powered throughput “while ensuring the durability and availability of data for 24x7x365 operating conditions, setting a new benchmark for AI infrastructure scalability and reliability,” VDURA said.
In this interview, Volker discusses the performance of the VDURA- AMD combined solution, including:
- The demands of large-scale AI and physics workloads
- Why the university selected VDURA as their storage solution
- The importance of multi-level erasure coding and data resilience at petabyte scale
- Real-world performance metrics: 8.4 million IOPS and 670K metadata ops
- How VDURA enables cost-effective, university-scale storage modernization
VDURA’s AI storage solutions for scientific research are purpose-built for universities and labs navigating high-throughput, GPU-intensive environments. Learn how our V5000 platform is redefining what’s possible in science at scale.