U.S. Federal Integrator Selects VDURA V5000 for AI and CFD Performance

Large Federal System Integrator

V5000 Deployment

Use cases

Computational Fluid Dynamics (CFD) simulations
AI model training, inference, and analytics
Mixed HPC+AI pipelines requiring continuous checkpointing and ultralow-latency I/O

Win summary

Goethe University’s Center for Scientific Computing, a leading research institution, achieved substantial measurable results by implementing the VDURA Data Platform V5000 for their AI-driven physics and HPC cluster. With one of Europe’s largest AMD GPU clusters combined with VDURA’s V5000 system, the solution delivers exceptional real-world performance, including 8.4 million IOPs and 670,000 metadata operations per second. As the system grows, performance will scale linearly, effectively meeting future demanding throughput requirements. VDURA’s innovative Multi-Level Erasure Coding™ (MLEC) significantly enhances data durability and availability, ensuring robust 24×7 operation.

Problem

The integrator needed storage that could simultaneously deliver:

Consistent low latency to keep thousands of GPUs saturated.
A single, unified namespace that marries NVMe flash performance with petabyte-scale capacity.
Automated data placement with no external movers or manual migrations.
Dramatically lower cost-per-TB and more efficient TB-per-watt than all-flash alternatives.
Enterprise-grade encryption and a minimal operational footprint.
Freedom from the reliability issues experienced with the incumbent solution and the higher TCO quoted by other competitors.

Solution

Phase	Configuration	Performance
Phase 1 (2025)	20 PB total – 4 PB NVMe flash + 16 PB HDD capacity extensions	Transfer rates above 800 GB/s
Future	Incremental growth to ~200 PB usable	2.5 TB/s sustained

Platform architecture

Director Nodes for metadata and orchestration.
All-NVMe Flash Nodes for extreme AI performance.
HDD Capacity Expansion Nodes for costefficient bulk storage.
Unified global namespace provides one data plane and one control plane.

Key selection factors

• True parallel-file-system throughput with consistent low latency.
Single namespace spanning flash and capacity tiers.
No external data movers required for flashto-disk tiering.
Greater than 60 percent lower cost per TB versus all-flash designs.
Built-in AES-256 encryption.
Only one-half FTE needed to manage system.
44 percent better energy efficiency (TB/W) than other all-flash offerings, cutting power and carbon footprint.

Integrator benefits

Benefit	Impact
GPU utilization maximized	Transfer rates above 800 GB/s keep accelerators busy; latency stays consistently low
Lower capital cost	Design reduces spend by greater than 60 percent per TB vs. all-flash alternatives
Energy and space savings	44 percent more efficient TB/W lowers OPEX and rack footprint
Operational simplicity	Unified namespace and policy-driven tiering requires only 1/2 FTE
Security and compliance	Built in end-to-end encryption and automated key management

Scalability

Linear capacity growth to ~200 PB usable without namespace splits.
Performance scales incrementally to 2.5 TB/s sustained as additional All-Flash and Capacity Expansion Storage Nodes are added.
Architecture supports future flash-heavy or disk-dense expansions with no forklift upgrades.

Competitors

VDURA replaced a commodity-based TLC all-flash solution using a third-party object store that was cited for poor reliability and flash/object storage integration challenges.
VDURA beat the other top competitor, who offered a QLC-based scale-out file system, by delivering superior total cost of ownership while meeting every performance and efficiency requirement.

Conclusion

By combining flash-class responsiveness with object-storage economics under a single unified global namespace, VDURA enabled this federal integrator to launch a mission-critical HPC+AI environment that is both budget-aligned today and ready to scale an order of magnitude in the years ahead.